id stringlengths 10 10 | title stringlengths 7 231 | abstract stringlengths 3 2.43k | authors stringlengths 5 21.5k | published_date stringlengths 20 20 | link stringlengths 33 34 | markdown stringlengths 133 1.92M |
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2304.11420 | On K-stability of $\mathbb{P}^3$ blown up along a (2,3) complete
intersection | We prove K-stability of every smooth member of the family 2.15 of the
Mukai-Mori classification. | Luca Giovenzana, Tiago Duarte Guerreiro, Nivedita Viswanathan | 2023-04-22T14:36:00Z | http://arxiv.org/abs/2304.11420v1 | # On K-stability of \(\mathbb{P}^{3}\) blown up along a \((2,3)\) complete intersection
###### Abstract.
We prove K-stability of every smooth member of the family 2.15 of the Mukai-Mori classification.
Key words and phrases:K-stability, Fano threefolds 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020... |
2303.04934 | Parallel Strong Connectivity Based on Faster Reachability | Computing strongly connected components (SCC) is a fundamental problems in
graph processing. As today's real-world graphs are getting larger and larger,
parallel SCC is increasingly important. SCC is challenging in the parallel
setting and is particularly hard on large-diameter graphs. Many existing
parallel SCC implem... | Letong Wang, Xiaojun Dong, Yan Gu, Yihan Sun | 2023-03-08T23:08:54Z | http://arxiv.org/abs/2303.04934v2 | # Parallel Strong Connectivity Based on Faster Reachability
###### Abstract.
Computing strongly connected components (SCC) is among the most fundamental problems in graph processing. As today's real-world graphs are getting larger and larger, parallel SCC is increasingly important. SCC is challenging in the parallel ... |
2307.07712 | Visual Analytics For Machine Learning: A Data Perspective Survey | The past decade has witnessed a plethora of works that leverage the power of
visualization (VIS) to interpret machine learning (ML) models. The
corresponding research topic, VIS4ML, keeps growing at a fast pace. To better
organize the enormous works and shed light on the developing trend of VIS4ML,
we provide a systema... | Junpeng Wang, Shixia Liu, Wei Zhang | 2023-07-15T05:13:06Z | http://arxiv.org/abs/2307.07712v1 | # Visual Analytics For Machine Learning:
###### Abstract
The past decade has witnessed a plethora of works that leverage the power of visualization (VIS) to interpret machine learning (ML) models. The corresponding research topic, VIS4ML, keeps growing at a fast pace. To better organize the enormous works and shed li... |
2305.09146 | Exotic Hadrons from Scattering in the Diabatic Dynamical Diquark Model | The diabatic framework generalizes the adiabatic approximation built into the
Born-Oppenheimer (BO) formalism, and is devised to rigorously incorporate the
mixing of BO-approximation eigenstates with two-particle thresholds. We
recently applied this framework in a bound-state approximation to the mixing of
hidden-charm... | Richard F. Lebed, Steven R. Martinez | 2023-05-16T03:52:19Z | http://arxiv.org/abs/2305.09146v2 | # Exotic Hadrons from Scattering in the Diabatic Dynamical Diquark Model
###### Abstract
The diabatic framework generalizes the adiabatic approximation built into the Born-Oppenheimer (BO) formalism, and is devised to rigorously incorporate the mixing of BO-approximation eigenstates with two-particle thresholds. We r... |
2303.03083 | Cost Sharing under Private Valuation and Connection Control | We consider a cost sharing problem on a weighted undirected graph, where all
the nodes want to connect to a special node called source, and they need to
share the total cost (weights) of the used edges. Each node except for the
source has a private valuation of the connection, and it may block others'
connections by st... | Tianyi Zhang, Junyu Zhang, Sizhe Gu, Dengji Zhao | 2023-03-06T12:45:51Z | http://arxiv.org/abs/2303.03083v1 | # Cost Sharing under Private Valuation and Connection Control
###### Abstract.
We consider a cost sharing problem on a weighted undirected graph, where all the nodes want to connect to a special node called source, and they need to share the total cost (weights) of the used edges. Each node except for the source has ... |
2307.11170 | UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for
Biomedical Entity Recognition | Pre-trained transformer language models (LMs) have in recent years become the
dominant paradigm in applied NLP. These models have achieved state-of-the-art
performance on tasks such as information extraction, question answering,
sentiment analysis, document classification and many others. In the biomedical
domain, sign... | Aidan Mannion, Thierry Chevalier, Didier Schwab, Lorraine Geouriot | 2023-07-20T18:08:34Z | http://arxiv.org/abs/2307.11170v1 | # UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition
###### Abstract
Pre-trained transformer language models (LMs) have in recent years become the dominant paradigm in applied NLP. These models have achieved state-of-the-art performance on tasks such as information ext... |
2306.11259 | CoNi-MPC: Cooperative Non-inertial Frame Based Model Predictive Control | This paper presents a novel solution for UAV control in cooperative
multi-robot systems, which can be used in various scenarios such as
leader-following, landing on a moving base, or specific relative motion with a
target. Unlike classical methods that tackle UAV control in the world frame, we
directly control the UAV ... | Baozhe Zhang, Xinwei Chen, Zhehan Li, Giovanni Beltrame, Chao Xu, Fei Gao, Yanjun Cao | 2023-06-20T03:25:35Z | http://arxiv.org/abs/2306.11259v2 | # CoNi-MPC: Cooperative Non-inertial Frame Based Model Predictive Control
###### Abstract
This paper presents a novel solution for UAV control in cooperative multi-robot systems, which can be used in various scenarios such as leader-following, landing on a moving base, or specific relative motion with a target. Unlik... |
2303.13290 | Unsupervised Deep Probabilistic Approach for Partial Point Cloud
Registration | Deep point cloud registration methods face challenges to partial overlaps and
rely on labeled data. To address these issues, we propose UDPReg, an
unsupervised deep probabilistic registration framework for point clouds with
partial overlaps. Specifically, we first adopt a network to learn posterior
probability distribu... | Guofeng Mei, Hao Tang, Xiaoshui Huang, Weijie Wang, Juan Liu, Jian Zhang, Luc Van Gool, Qiang Wu | 2023-03-23T14:18:06Z | http://arxiv.org/abs/2303.13290v1 | # Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
###### Abstract
Deep point cloud registration methods face challenges to partial overlaps and rely on labeled data. To address these issues, we propose UDPReg, an unsupervised deep probabilistic registration framework for point clouds wit... |
2305.17378 | Improving Generalization in Language Model-Based Text-to-SQL Semantic
Parsing: Two Simple Semantic Boundary-Based Techniques | Compositional and domain generalization present significant challenges in
semantic parsing, even for state-of-the-art semantic parsers based on
pre-trained language models (LMs). In this study, we empirically investigate
improving an LM's generalization in semantic parsing with two simple
techniques: at the token level... | Daking Rai, Bailin Wang, Yilun Zhou, Ziyu Yao | 2023-05-27T06:09:03Z | http://arxiv.org/abs/2305.17378v1 | # Improving Generalization in Language Model-Based Text-to-SQL
###### Abstract
Compositional and domain generalization present significant challenges in semantic parsing, even for state-of-the-art semantic parsers based on pre-trained language models (LMs). In this study, we empirically investigate improving an LM's ... |
2306.16536 | New Insight into the FS CMa System MWC 645 from Near-Infrared and
Optical Spectroscopy | The B[e] phenomenon is manifested by a heterogeneous group of stars
surrounded by gaseous and dusty circumstellar envelopes with similar physical
conditions. Among these stars, the FS CMa-type objects are suspected to be
binary systems, which could be experiencing or have undergone a mass-transfer
process that could ex... | Andrea F. Torres, María L. Arias, Michaela Kraus, Lorena V. Mercanti, Tõnis Eenmäe | 2023-06-28T20:20:02Z | http://arxiv.org/abs/2306.16536v1 | # New Insight into the FS CMa System MWC 645 from Near-Infrared and Optical Spectroscopy
###### Abstract
The B[e] phenomenon is manifested by a heterogeneous group of stars surrounded by gaseous and dusty circumstellar envelopes with similar physical conditions. Among these stars, the FS CMa-type objects are suspecte... |
2308.00820 | Geometry preserving numerical methods for physical systems with
finite-dimensional Lie algebras | We propose a geometric integrator to numerically approximate the flow of Lie
systems. The key is a novel procedure that integrates the Lie system on a Lie
group intrinsically associated with a Lie system on a general manifold via a
Lie group action, and then generates the discrete solution of the Lie system on
the mani... | L. Blanco, F. Jiménez Alburquerque, J. de Lucas, C. Sardón | 2023-08-01T20:17:48Z | http://arxiv.org/abs/2308.00820v2 | # Geometry preserving numerical methods
###### Abstract
In this paper we propose a geometric integrator to numerically approximate the flow of Lie systems. The highlight of this paper is to present a novel procedure that integrates the system on a Lie group intrinsically associated to the Lie system, and then generat... |
2310.15901 | Enhancing Energy Efficiency for Reconfigurable Intelligent Surfaces with
Practical Power Models | Reconfigurable intelligent surfaces (RISs) are widely considered a promising
technology for future wireless communication systems. As an important indicator
of RIS-assisted communication systems in green wireless communications, energy
efficiency (EE) has recently received intensive research interest as an
optimization... | Zhiyi Li, Jida Zhang, Jieao Zhu, Shi Jin, Linglong Dai | 2023-10-24T15:03:41Z | http://arxiv.org/abs/2310.15901v1 | # Enhancing Energy Efficiency for Reconfigurable Intelligent Surfaces with Practical Power Models
###### Abstract
Reconfigurable intelligent surfaces (RISs) are widely considered a promising technology for future wireless communication systems. As an important indicator of RIS-assisted communication systems in green ... |
2308.06289 | Fibonacci-like property of partition function | The main result of the paper is the Fibonacci-like property of the partition
function. The partition function $p(n)$ has a property: $p(n) \leq p(n-1) +
p(n-2)$. Our result shows that if we impose certain restrictions on the
partition, then the inequality becomes an equality. Furthermore, we extend this
result to cases... | Qi-Yang Zheng | 2023-08-10T18:33:07Z | http://arxiv.org/abs/2308.06289v1 | # Fibonacci-like property of partition function
###### Abstract.
The main result of the paper is the Fibonacci-like property of the partition function. The partition function \(p(n)\) has a property: \(p(n)\leq p(n-1)+p(n-2)\). Our result shows that if we impose certain restrictions on the partition, then the inequal... |
2310.03434 | Synergy of machine learning with quantum computing and communication | Machine learning in quantum computing and communication provides intensive
opportunities for revolutionizing the field of Physics, Mathematics, and
Computer Science. There exists an aperture of understanding behind this
interdisciplinary domain and a lack of core understanding renders an
opportunity to explore the mach... | Debasmita Bhoumik, Susmita Sur-Kolay, Latesh Kumar K. J., Sundaraja Sitharama Iyengar | 2023-10-05T10:18:39Z | http://arxiv.org/abs/2310.03434v1 | # Synergy of machine learning with quantum computing and communication
###### Abstract
Machine learning in quantum computing and communication provides intensive opportunities for revolutionizing the field of Physics, Mathematics, and Computer Science. There exists an aperture of understanding behind this interdiscip... |
2307.06183 | Experimental Single Electron 4D Tracking in IOTA | This paper presents the results of the first experiments on 4D tracking of a
single electron using a linear multi-anode photomultiplier tube. The reported
technology makes it is possible to fully track a single electron in a storage
ring, which requires tracking of amplitudes and phases for both, slow
synchrotron and f... | A. Romanov, J. Santucci, G. Stancari | 2023-07-12T14:16:27Z | http://arxiv.org/abs/2307.06183v1 | # Experimental Single Electron 4D Tracking in Iota 1
###### Abstract
This paper presents the results of the first experiments on 4D tracking of a single electron using a linear multi-anode photomultiplier tube. The reported technology makes it is possible to fully track a single electron in a storage ring, which requ... |
2303.14070 | ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model
Meta-AI (LLaMA) Using Medical Domain Knowledge | The primary aim of this research was to address the limitations observed in
the medical knowledge of prevalent large language models (LLMs) such as
ChatGPT, by creating a specialized language model with enhanced accuracy in
medical advice. We achieved this by adapting and refining the large language
model meta-AI (LLaM... | Yunxiang Li, Zihan Li, Kai Zhang, Ruilong Dan, Steve Jiang, You Zhang | 2023-03-24T15:29:16Z | http://arxiv.org/abs/2303.14070v5 | # ChatDoctor: A Medical Chat Model Fine-tuned on LLaMA Model using Medical Domain Knowledge
###### Abstract
Recent large language models (LLMs) in the general domain, such as ChatGPT, have shown remarkable success in following instructions and producing human-like responses. However, such language models have yet to ... |
2309.01340 | MDSC: Towards Evaluating the Style Consistency Between Music and Dance | We propose MDSC(Music-Dance-Style Consistency), the first evaluation metric
that assesses to what degree the dance moves and music match. Existing metrics
can only evaluate the motion fidelity and diversity and the degree of rhythmic
matching between music and dance. MDSC measures how stylistically correlated
the gener... | Zixiang Zhou, Weiyuan Li, Baoyuan Wang | 2023-09-04T03:55:41Z | http://arxiv.org/abs/2309.01340v3 | # MDSC: Towards Evaluating the Style Consistency Between Music and Dance
###### Abstract
We propose **MDSC**(Music-Dance-Style Consistency), the first evaluation metric that assesses to what degree the dance moves and music match. Existing metrics can only evaluate the motion fidelity and diversity and the degree of ... |
2310.14148 | The Boosted DC Algorithm for Clustering with Constraints | This paper aims to investigate the effectiveness of the recently proposed
Boosted Difference of Convex functions Algorithm (BDCA) when applied to
clustering with constraints and set clustering with constraints problems. This
is the first paper to apply BDCA to a problem with nonlinear constraints. We
present the mathem... | Tuyen Tran, Kate Figenschou, Phan Tu Vuong | 2023-10-22T02:08:18Z | http://arxiv.org/abs/2310.14148v1 | # The Boosted DC Algorithm for Clustering with Constraints
###### Abstract
This paper aims to investigate the effectiveness of the recently proposed Boosted Difference of Convex functions Algorithm (BDCA) when applied to clustering with constraints and set clustering with constraints problems. This is the first paper... |
2306.00803 | Electron-phonon coupling and superconductivity in $α$-MoB$_2$ as a
function of pressure | We have studied the lattice dynamics, electron-phonon coupling, and
superconducting properties of $\alpha$-MoB$_2$, as a function of applied
pressure, within the framework of density functional perturbation theory using
a mixed-basis pseudopotential method. We found that phonon modes located along
the A$-$H, H$-$L, and... | Marco-Antonio Carmona-Galván, Rolf Heid, Omar De la Peña-Seaman | 2023-06-01T15:31:33Z | http://arxiv.org/abs/2306.00803v2 | Electron phonon coupling and superconductivity in \(\alpha\)-MoB\({}_{2}\) as a function of pressure
###### Abstract
We have studied the lattice dynamics, electron-phonon coupling, and superconducting properties of \(\alpha\)-MoB\({}_{2}\), as a function of applied pressure, within the framework of density functional... |
2310.13627 | Deep-Learning-based Change Detection with Spaceborne Hyperspectral
PRISMA data | Change detection (CD) methods have been applied to optical data for decades,
while the use of hyperspectral data with a fine spectral resolution has been
rarely explored. CD is applied in several sectors, such as environmental
monitoring and disaster management. Thanks to the PRecursore IperSpettrale
della Missione ope... | J. F. Amieva, A. Austoni, M. A. Brovelli, L. Ansalone, P. Naylor, F. Serva, B. Le Saux | 2023-10-20T16:22:53Z | http://arxiv.org/abs/2310.13627v1 | # Deep-learning-based Change Detection
###### Abstract
Change detection (CD) methods have been applied to optical data for decades, while the use of hyperspectral data with a fine spectral resolution has been rarely explored. CD is applied in several sectors, such as environmental monitoring and disaster management. ... |
2308.09435 | A Methodology for Generative Spelling Correction via Natural Spelling
Errors Emulation across Multiple Domains and Languages | Modern large language models demonstrate impressive capabilities in text
generation and generalization. However, they often struggle with solving text
editing tasks, particularly when it comes to correcting spelling errors and
mistypings. In this paper, we present a methodology for generative spelling
correction (SC), ... | Nikita Martynov, Mark Baushenko, Anastasia Kozlova, Katerina Kolomeytseva, Aleksandr Abramov, Alena Fenogenova | 2023-08-18T10:07:28Z | http://arxiv.org/abs/2308.09435v2 | A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages
###### Abstract
Modern large language models demonstrate impressive capabilities in text generation and generalization. However, they often struggle with solving text editing tasks, particularl... |
2302.13436 | Navigating Multi-Stakeholder Incentives and Preferences: Co-Designing
Alternatives for the Future of Gig Worker Well-Being | Gig workers, and the products and services they provide, play an increasingly
ubiquitous role in our daily lives. But despite growing evidence suggesting
that worker well-being in gig economy platforms have become significant
societal problems, few studies have investigated possible solutions. We take a
stride in this ... | Jane Hsieh, Miranda Karger, Lucas Zagal, Haiyi Zhu | 2023-02-26T23:21:12Z | http://arxiv.org/abs/2302.13436v2 | Navigating Multi-Stakeholder Incentives and Preferences: Co-Designing Alternatives for the Future of Gig Worker Well-Being
###### Abstract.
Gig workers, and the products and services they create, play an increasingly ubiquitous role in our daily lives. But despite growing evidence suggesting that worker well-being in... |
2301.12278 | Pragmatic Fairness: Developing Policies with Outcome Disparity Control | We introduce a causal framework for designing optimal policies that satisfy
fairness constraints. We take a pragmatic approach asking what we can do with
an action space available to us and only with access to historical data. We
propose two different fairness constraints: a moderation breaking constraint
which aims at... | Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva | 2023-01-28T19:25:56Z | http://arxiv.org/abs/2301.12278v1 | # Pragmatic Fairness: Developing Policies with Outcome Disparity Control
###### Abstract
We introduce a causal framework for designing optimal policies that satisfy fairness constraints. We take a pragmatic approach asking what we can do with an action space available to us and only with access to historical data. We... |
2302.05254 | Gamma-ray energies and intensities observed in decay chain
$^{83}Rb$/$^{83m}Kr$/$^{83}Kr$ | Radioactive sources of the monoenergetic low-energy conversion electrons from
the decay of isomeric $^{83m}Kr$ are frequently used in the systematic
measurements, particularly in the neutrino mass and dark matter experiments.
For this purpose, the isomer is obtained by the decay of its parent
radionuclide $^{83}Rb$. In... | M. Šefčík, D. Vénos, O. Lebeda, C. Noll, J. Ráliš | 2023-02-10T14:08:27Z | http://arxiv.org/abs/2302.05254v1 | Gamma-ray energies and intensities observed in decay chain \({}^{83}\)Rb/\({}^{83m}\)Kr/\({}^{83}\)Kr
###### Abstract
Radioactive sources of the monoenergetic low-energy conversion electrons from the decay of isomeric \({}^{83m}\)Kr are frequently used in the systematic measurements, particularly in the neutrino mass... |
2305.01095 | LSTM-based Preceding Vehicle Behaviour Prediction during Aggressive Lane
Change for ACC Application | The development of Adaptive Cruise Control (ACC) systems aims to enhance the
safety and comfort of vehicles by automatically regulating the speed of the
vehicle to ensure a safe gap from the preceding vehicle. However, conventional
ACC systems are unable to adapt themselves to changing driving conditions and
drivers' b... | Rajmeet Singh, Saeed Mozaffari, Mahdi Rezaei, Shahpour Alirezaee | 2023-05-01T21:33:40Z | http://arxiv.org/abs/2305.01095v2 | # LSTM-based Preceding Vehicle Behaviour Prediction during Aggressive Lane Change for ACC Application
###### Abstract
The development of Adaptive Cruise Control (ACC) systems aims to enhance the safety and comfort of vehicles by automatically regulating the speed of the vehicle to ensure a safe gap from the preceding... |
2303.02612 | On triharmonic hypersurfaces in space forms | In this paper we study triharmonic hypersurfaces immersed in a space form
$N^{n+1}(c)$. We prove that any proper CMC triharmonic hypersurface in the
sphere $\mathbb S^{n+1}$ has constant scalar curvature; any CMC triharmonic
hypersurface in the hyperbolic space $\mathbb H^{n+1}$ is minimal. Moreover, we
show that any C... | Yu Fu, Dan Yang | 2023-03-05T08:51:17Z | http://arxiv.org/abs/2303.02612v1 | # On triharmonic hypersurfaces in space forms
###### Abstract.
In this paper we study triharmonic hypersurfaces immersed in a space form \(N^{n+1}(c)\). We prove that any proper CMC triharmonic hypersurface in the sphere \(\mathbb{S}^{n+1}\) has constant scalar curvature; any CMC triharmonic hypersurface in the hyper... |
2310.15256 | SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering | We present the first simulation-based inference (SBI) of cosmological
parameters from field-level analysis of galaxy clustering. Standard galaxy
clustering analyses rely on analyzing summary statistics, such as the power
spectrum, $P_\ell$, with analytic models based on perturbation theory.
Consequently, they do not fu... | Pablo Lemos, Liam Parker, ChangHoon Hahn, Shirley Ho, Michael Eickenberg, Jiamin Hou, Elena Massara, Chirag Modi, Azadeh Moradinezhad Dizgah, Bruno Regaldo-Saint Blancard, David Spergel | 2023-10-23T18:05:32Z | http://arxiv.org/abs/2310.15256v1 | # SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering
###### Abstract
We present the first simulation-based inference (SBI) of cosmological parameters from field-level analysis of galaxy clustering. Standard galaxy clustering analyses rely on analyzing summary statistics, such as the power spectrum, \... |
2301.03375 | One-Shot Achievable Secrecy Rate Regions for Quantum Interference
Wiretap Channel | In this paper, we want to derive achievable secrecy rate regions for quantum
interference channel with classical inputs under one-shot setting. The main
idea to this end is to use the combination of superposition and rate splitting
for encoding scheme and constructing a decoding scheme based on simultaneous
decoding. | Hadi Aghaee, Bahareh Akhbari | 2023-01-09T14:27:08Z | http://arxiv.org/abs/2301.03375v1 | # One-Shot Achievable Secrecy Rate Regions for Quantum Interference Wiretap Channel
###### Abstract
In this paper, we want to derive achievable secrecy rate regions for quantum interference channel with classical inputs under one-shot setting. The main idea to this end is to use the combination of superposition and r... |
2306.08287 | MIXALIME: MIXture models for ALlelic IMbalance Estimation in
high-throughput sequencing data | Modern high-throughput sequencing assays efficiently capture not only gene
expression and different levels of gene regulation but also a multitude of
genome variants. Focused analysis of alternative alleles of variable sites at
homologous chromosomes of the human genome reveals allele-specific gene
expression and allel... | Georgy Meshcheryakov, Sergey Abramov, Aleksandr Boytsov, Andrey I. Buyan, Vsevolod J. Makeev, Ivan V. Kulakovskiy | 2023-06-14T06:49:28Z | http://arxiv.org/abs/2306.08287v6 | # MIXALIME: MIXture models for ALlelic IMbalance Estimation in high-throughput sequencing data
###### Abstract
Modern high-throughput sequencing assays efficiently capture not only gene expression and different levels of gene regulation but also a multitude of genome variants. Focused analysis of alternative alleles ... |
2307.04794 | CHEX-MATE: CLUster Multi-Probes in Three Dimensions (CLUMP-3D), I. Gas
Analysis Method using X-ray and Sunyaev-Zel'dovich Effect Data | Galaxy clusters are the products of structure formation through myriad
physical processes that affect their growth and evolution throughout cosmic
history. As a result, the matter distribution within galaxy clusters, or their
shape, is influenced by cosmology and astrophysical processes, in particular
the accretion of ... | Junhan Kim, Jack Sayers, Mauro Sereno, Iacopo Bartalucci, Loris Chappuis, Sabrina De Grandi, Federico De Luca, Marco De Petris, Megan E. Donahue, Dominique Eckert, Stefano Ettori, Massimo Gaspari, Fabio Gastaldello, Raphael Gavazzi, Adriana Gavidia, Simona Ghizzardi, Asif Iqbal, Scott Kay, Lorenzo Lovisari, Ben J. Maug... | 2023-07-10T18:00:06Z | http://arxiv.org/abs/2307.04794v2 | # CHEX-MATE: CLUster Multi-Probes in Three Dimensions (CLUMP-3D)
###### Abstract
Galaxy clusters are the products of structure formation through myriad physical processes that affect their growth and evolution throughout cosmic history. As a result, the matter distribution within galaxy clusters, or their shape, is i... |
2302.11221 | A q-analog of certain symmetric functions and one of its specializations | Let the symmetric functions be defined for the pair of integers $\left(
n,r\right) $, $n\geq r\geq 1$, by $p_{n}^{\left( r\right) }=\sum m_{\lambda }$
where $m_{\lambda }$ are the monomial symmetric functions, the sum being over
the partitions $\lambda $ of the integer $n$ with length $r$. We introduce by a
generating ... | Vincent Brugidou | 2023-02-22T09:10:04Z | http://arxiv.org/abs/2302.11221v5 | # A q-analog of certain symmetric functions and one of its specializations
# A q-analog of certain symmetric functions and one of its specializations
Vincent Brugidou
_Universite de Lille, 59655 Villeneuve d'Ascq cedex, France_
**Abstract :** Let be the symmetric functions defined for the pair of integers \(\left(n... |
2308.04111 | On the stability of Caffarelli-Kohn-Nirenberg inequality in R^2 | Dolbeault, Esteban and Loss [Invent. Math., 2016] obtained an optimal
rigidity result, that is, when $a<0$ and $b_{\mathrm{FS}}(a)\leq b<a+1$ the
extremal function for best constant $\mathcal{S}_{a,b}>0$ of the following
Caffarelli-Kohn-Nirenberg inequality is symmetry, \[
\mathcal{S}_{a,b}\left(\int_{\mathbb{R}^2}|x|^... | Shengbing Deng, Xingliang Tian | 2023-08-08T07:53:21Z | http://arxiv.org/abs/2308.04111v2 | # On the stability of Caffarelli-Kohn-Nirenberg inequality in \(\mathbb{R}^{2}\)
###### Abstract.
Dolbeault, Esteban and Loss [19] obtained an optimal rigidity result, that is, when \(a<0\) and \(b_{\mathrm{FS}}(a)\leq b<a+1\) the extremal function for best constant \(\mathcal{S}_{a,b}>0\) of the following Caffarelli... |
2307.14587 | Artificial intelligence-aided protein engineering: from topological data
analysis to deep protein language models | Protein engineering is an emerging field in biotechnology that has the
potential to revolutionize various areas, such as antibody design, drug
discovery, food security, ecology, and more. However, the mutational space
involved is too vast to be handled through experimental means alone. Leveraging
accumulative protein d... | Yuchi Qiu, Guo-Wei Wei | 2023-07-27T02:14:09Z | http://arxiv.org/abs/2307.14587v1 | Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models
###### Abstract
Protein engineering is an emerging field in biotechnology that has the potential to revolutionize various areas, such as antibody design, drug discovery, food security, ecology, and more. ... |
2303.09747 | Gate-tunable giant superconducting nonreciprocal transport in few-layer
$T_{\rm d}$-MoTe$_2$ | We demonstrate gate-tunable giant field-dependent nonreciprocal transport
(magnetochiral anisotropy) in a noncentrosymmetric superconductor $T_{\rm
d}$-MoTe$_2$ in the thin limit. Giant magnetochiral anisotropy (MCA) with a
rectification coefficient $\gamma$ = $3.1 \times 10^6$ T$^{-1}$ A$^{-1}$, is
observed at 230 mK,... | T. Wakamura, M. Hashisaka, S. Hoshino, M. Bard, S. Okazaki, T. Sasagawa, T. Taniguchi, K. Watanabe, K. Muraki, N. Kumada | 2023-03-17T03:00:26Z | http://arxiv.org/abs/2303.09747v2 | # Gate-tunable giant superconducting nonreciprocal transport in few-layer \(T_{d}\)-MoTe\({}_{2}\)
###### Abstract
We demonstrate gate-tunable giant field-dependent nonreciprocal transport (magnetochiral anisotropy) in a noncentrosymmetric superconductor \(T_{d}\)-MoTe\({}_{2}\) in the thin limit. Giant magnetochiral... |
2301.11771 | Phase separation of passive particles in active liquids | The transport properties of colloidal particles in active liquids have been
studied extensively. It has led to a deeper understanding of the interactions
between passive and active particles. However, the phase behavior of colloidal
particles in active media has received little attention. Here, we present a
combined ex... | Pragya Kushwaha, Vivek Semwal, Sayan Maity, Shraddha Mishra, Vijayakumar Chikkadi | 2023-01-27T15:10:48Z | http://arxiv.org/abs/2301.11771v1 | # Phase separation of passive particles in active liquids
###### Abstract
The transport properties of colloidal particles in active liquids have been studied extensively. It has led to a deeper understanding of the interactions between passive and active particles. However, the phase behavior of colloidal particles i... |
2305.03682 | Reflection of a Diffuser in a Liquid Interface | We present a novel method, based on the Saunderson corrections, to predict
the reflectance between a liquid interface and a dielectric diffuser. In this
method, the diffuse properties of the dielectric are characterized using a
single parameter, the multiple-scattering albedo, which is the same
irrespective of being in... | C. Silva, R. Cabrita, V. N. Solovov, P. Brás, A. Lindote, G. Pereira, M. I. Lopes | 2023-05-05T16:51:04Z | http://arxiv.org/abs/2305.03682v1 | # Reflection of a Diffuser in a Liquid Interface
###### Abstract
We present a novel method, based on the Saunderson corrections, to predict the reflectance between a liquid interface and a dielectric diffuser. In this method, the diffuse properties of the dielectric are characterized using a single parameter, the mul... |
2310.07652 | LLM4Vis: Explainable Visualization Recommendation using ChatGPT | Data visualization is a powerful tool for exploring and communicating
insights in various domains. To automate visualization choice for datasets, a
task known as visualization recommendation has been proposed. Various
machine-learning-based approaches have been developed for this purpose, but
they often require a large... | Lei Wang, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang | 2023-10-11T16:51:46Z | http://arxiv.org/abs/2310.07652v2 | # LLM4Vis: Explainable Visualization Recommendation using ChatGPT
###### Abstract
Data visualization is a powerful tool for exploring and communicating insights in various domains. To automate visualization choice for datasets, a task known as visualization recommendation has been proposed. Various machine-learning-b... |
2303.08459 | Forecasting Intraday Power Output by a Set of PV Systems using Recurrent
Neural Networks and Physical Covariates | Accurate intraday forecasts of the power output by PhotoVoltaic (PV) systems
are critical to improve the operation of energy distribution grids. We describe
a neural autoregressive model that aims to perform such intraday forecasts. We
build upon a physical, deterministic PV performance model, the output of which
is us... | Pierrick Bruneau, David Fiorelli, Christian Braun, Daniel Koster | 2023-03-15T09:03:58Z | http://arxiv.org/abs/2303.08459v3 | Hybrid-Physical Probabilistic Forecasting for a Set of Photovoltaic Systems using Recurrent Neural Networks
###### Abstract
Accurate intra-day forecasts of the power output by PhotoVoltaic (PV) systems are critical to improve the operation of energy distribution grids. We describe a hybrid-physical model, which aims ... |
2310.08561 | An extensively validated C/H/O/N chemical network for hot exoplanet
disequilibrium chemistry | We aimed to build a new and updated C0-C2 chemical network to study the CHON
disequilibrium chemistry of warm and hot exoplanet atmospheres that relies on
extensively validated and recent state-of-the-art combustion networks. The
reliability range of this network was aimed for conditions between 500 - 2500 K
and 100 - ... | R. Veillet, O. Venot, B. Sirjean, R. Bounaceur, P-A. Glaude, A. Al-Refaie, E. Hébrard | 2023-10-12T17:51:59Z | http://arxiv.org/abs/2310.08561v1 | # An extensively validated C/H/O/N chemical network for hot exoplanet disequilibrium chemistry
###### Abstract
Context:The reliability of one-dimensional disequilibrium chemistry models in hot exoplanet atmospheres depends on the chemical network used. To develop robust networks, we can rely on combustion studies tha... |
2305.13491 | Nonparanormal Graph Quilting with Applications to Calcium Imaging | Probabilistic graphical models have become an important unsupervised learning
tool for detecting network structures for a variety of problems, including the
estimation of functional neuronal connectivity from two-photon calcium imaging
data. However, in the context of calcium imaging, technological limitations
only all... | Andersen Chang, Lili Zheng, Gautam Dasarthy, Genevera I. Allen | 2023-05-22T21:16:01Z | http://arxiv.org/abs/2305.13491v1 | # Nonparanormal Graph Quilting with Applications to Calcium Imaging
###### Abstract
Probabilistic graphical models have become an important unsupervised learning tool for detecting network structures for a variety of problems, including the estimation of functional neuronal connectivity from two-photon calcium imagin... |
2309.02649 | Controllability Backbone in Networks | This paper studies the controllability backbone problem in dynamical networks
defined over graphs. The main idea of the controllability backbone is to
identify a small subset of edges in a given network such that any subnetwork
containing those edges/links has at least the same network controllability as
the original n... | Obaid Ullah Ahmad, Waseem Abbas, Mudassir Shabbir | 2023-09-06T01:21:45Z | http://arxiv.org/abs/2309.02649v1 | # Controllability Backbone in Networks
###### Abstract
This paper studies the controllability backbone problem in dynamical networks defined over graphs. The main idea of the controllability backbone is to identify a small subset of edges in a given network such that any subnetwork containing those edges/links has at... |
2301.01562 | An interference detection strategy for Apertif based on AOFlagger 3 | Context. Apertif is a multi-beam receiver system for the Westerbork Synthesis
Radio Telescope that operates at 1.1-1.5 GHz, which overlaps with various radio
services, resulting in contamination of astronomical signals with
radio-frequency interference (RFI). Aims. We analyze approaches to mitigate
Apertif interference... | A. R. Offringa, B. Adebahr, A. Kutkin, E. A. K. Adams, T. A. Oosterloo, J. M. van der Hulst, H. Dénes, C. G. Bassa, D. L. Lucero, W. J. G. Blok, K. M. Hess, J. van Leeuwen, G. M. Loose, Y. Maan, L. C. Oostrum, E. Orrú, D. Vohl, J. Ziemke | 2023-01-04T12:09:45Z | http://arxiv.org/abs/2301.01562v1 | # An interference detection strategy for Apertif
###### Abstract
Context:Apertif is a multi-beam receiver system for the Westerbork Synthesis Radio Telescope that operates at 1.1-1.5 GHz, which overlaps with various radio services, resulting in contamination of astronomical signals with radio-frequency interference (... |
2306.14876 | Quantum trajectories for time-local non-Lindblad master equations | For the efficient simulation of open quantum systems we often use quantum
jump trajectories given by pure states that evolve stochastically to unravel
the dynamics of the underlying master equation. In the Markovian regime, when
the dynamics is described by a Gorini-Kossakowski-Sudarshan-Lindblad (GKSL)
master equation... | Tobias Becker, Ché Netzer, André Eckardt | 2023-06-26T17:45:36Z | http://arxiv.org/abs/2306.14876v3 | # Quantum trajectories for time-local non-Lindblad master equations
###### Abstract
For the efficient simulation of open quantum systems we often use quantum jump trajectories given by pure states that evolve stochastically to unravel the dynamics of the underlying master equation. In the Markovian regime, when the d... |
2308.02206 | Large deviations for an obstacle problem with T-monotone operator and
multiplicative noise | In this paper, we study the large deviation principle (LDP) for obstacle
problems governed by a T-monotone operator and small multiplicative stochastic
reaction. Our approach relies on a combination of new sufficient condition to
prove LDP by Matoussi, Sabbagh and Zhang [Appl. Math. Optim. 2021] and
Lewy-Stampacchia in... | Yassine Tahraoui | 2023-08-04T08:47:20Z | http://arxiv.org/abs/2308.02206v2 | # Large deviations for an obstacle problem with T-monotone operator and multiplicative noise
###### Abstract.
In this paper, we study the large deviation principle (LDP) for obstacle problems governed by a T-monotone operator and small multiplicative stochastic reaction. Our approach relies on a combination of new su... |
2307.12690 | On the stability of a double porous elastic system with visco-porous
dampings | In this paper we consider a one dimensional elastic system with double
porosity structure and with frictional damping in both porous equations. We
introduce two stability numbers $\chi_{0}$ and $\chi_{1}$ and prove that the
solution of the system decays exponentially provided that $\chi_{0}=0$ and
$\chi_{1}\neq0.$ Othe... | Ahmed Keddi, Aicha Nemsi, Abdelfeteh Fareh | 2023-07-24T11:08:27Z | http://arxiv.org/abs/2307.12690v1 | # On the stability of a double porous elastic system with visco-porous dampings
###### Abstract
In this paper we consider a one dimensional elastic system with double porosity structure and with frictional damping in both porous equations. We introduce two stability numbers \(\chi_{0}\) and \(\chi_{1}\) and prove tha... |
2302.08016 | Unsupervised Domain Adaptation for MRI Volume Segmentation and
Classification Using Image-to-Image Translation | Unsupervised domain adaptation is a type of domain adaptation and exploits
labeled data from the source domain and unlabeled data from the target one. In
the Cross-Modality Domain Adaptation for Medical Image Segmenta-tion challenge
(crossMoDA2022), contrast enhanced T1 MRI volumes for brain are provided as the
source ... | Satoshi Kondo, Satoshi Kasai | 2023-02-16T01:09:50Z | http://arxiv.org/abs/2302.08016v1 | Unsupervised Domain Adaptation for MRI Volume Segmentation and Classification Using Image-to-Image Translation
###### Abstract
Unsupervised domain adaptation is a type of domain adaptation and exploits labeled data from the source domain and unlabeled data from the target one. In the Cross-Modality Domain Adaptation ... |
2301.11017 | Chromatic aberrations correction of attosecond high-order harmonic beams
by flat-top spatial shaping of the fundamental beam | Attosecond pulses created by high-order harmonic generation in gases often
exhibit strong chromatic aberrations, arising from the broad bandwidth and
wavelength-dependent nonlinear light-matter interaction. When the driving laser
intensity varies spatially, as for Gaussian driving beams, the apparent source
position of... | K. Veyrinas, M. Plach, J. Peschel, M. Hoflund, F. Catoire, C. Valentin, P. Smorenburg, H. Dacasa, S. Maclot, C. Guo, H. Wikmark, A. Zair, V. Strelkov, C. Picot, C. Arnold, P. Eng-Johnsson, A. L Huillier, E. Mevel, E. Constant | 2023-01-26T10:11:14Z | http://arxiv.org/abs/2301.11017v1 | Chromatic aberrations correction of attosecond high-order harmonic beams by flat-top spatial shaping of the fundamental beam
###### Abstract
Attosecond pulses created by high-order harmonic generation in gases often exhibit strong chromatic aberrations, arising from the broad bandwidth and wavelength-dependent nonlin... |
2304.05864 | Scale-Equivariant Deep Learning for 3D Data | The ability of convolutional neural networks (CNNs) to recognize objects
regardless of their position in the image is due to the
translation-equivariance of the convolutional operation. Group-equivariant CNNs
transfer this equivariance to other transformations of the input. Dealing
appropriately with objects and object... | Thomas Wimmer, Vladimir Golkov, Hoai Nam Dang, Moritz Zaiss, Andreas Maier, Daniel Cremers | 2023-04-12T13:56:12Z | http://arxiv.org/abs/2304.05864v1 | # Scale-Equivariant Deep Learning for 3D Data
###### Abstract
The ability of convolutional neural networks (CNNs) to recognize objects regardless of their position in the image is due to the translation-equivariance of the convolutional operation. Group-equivariant CNNs transfer this equivariance to other transformat... |
2308.12015 | Experimental and Phenomenological Investigations of the MiniBooNE
Anomaly | This thesis covers a range of experimental and theoretical efforts to
elucidate the origin of the $4.8\sigma$ MiniBooNE low energy excess (LEE). We
begin with the follow-up MicroBooNE experiment, which took data along the BNB
from 2016 to 2021. This thesis specifically presents MicroBooNE's search for
$\nu_e$ charged-c... | Nicholas Kamp | 2023-08-23T09:14:52Z | http://arxiv.org/abs/2308.12015v1 | # Experimental and Phenomenological Investigations of the MiniBooNE Anomaly
###### Abstract
The author hereby grants to MIT a nonexclusive, worldwide, irrevocable, royalty-free license to exercise any and all rights under copyright, including to reproduce, preserve, distribute and publicly display copies of the thesi... |
2301.08546 | Disorder Induced Nonlinear Mode Coupling and Symmetry Breaking in
Amorphous Solids | Applying very small purely radial strains on amorphous solids in radial
geometry one observes elastic responses that break the radial symmetry. Without
any plasticity involved, the responses indicate nonlinear mode coupling
contributions even for minute strains. We show that these symmetry-breaking
responses are due to... | Avanish Kumar, Itamar Procaccia, Murari Singh | 2023-01-20T13:05:38Z | http://arxiv.org/abs/2301.08546v1 | # Disorder Induced Nonlinear Mode Coupling and Symmetry Breaking in Amorphous Solids
###### Abstract
Applying _very small_ purely radial strains on amorphous solids in radial geometry one observes elastic responses that break the radial symmetry. Without any plasticity involved, the responses indicate nonlinear mode ... |
2302.11547 | Kerr black hole in de Sitter spacetime and observational redshift:
Toward a new method to measure the Hubble constant | We extract the Hubble law by the frequency-shift considerations of test
particles revolving the Kerr black hole in asymptotically de Sitter spacetime.
To this end, we take into account massive geodesic particles circularly
orbiting the Kerr-de Sitter black holes that emit redshifted photons towards a
distant observer w... | Mehrab Momennia, Alfredo Herrera-Aguilar, Ulises Nucamendi | 2023-02-22T18:39:13Z | http://arxiv.org/abs/2302.11547v2 | # Kerr black hole in de Sitter spacetime and observational redshift:
###### Abstract
We extract the Hubble law by the frequency shift considerations of test particles revolving the Kerr black hole in asymptotically de Sitter spacetime. To this end, we take into account massive geodesic particles circularly orbiting t... |
2308.04677 | The dusty red supergiant progenitor and the local environment of the
Type II SN 2023ixf in M101 | As one of the closest supernovae (SNe) in the last decade, SN 2023ixf is an
unprecedented target to investigate the progenitor star that exploded. However,
there is still significant uncertainty in the reported progenitor properties.
In this work, we present a detailed study of the progenitor of SN 2023ixf with
two ind... | Ze-Xi Niu, Ning-Chen Sun, Justyn R. Maund, Yu Zhang, Rui-Ning Zhao, Ji-Feng Liu | 2023-08-09T03:13:34Z | http://arxiv.org/abs/2308.04677v2 | # The dusty red supergiant progenitor and the local environment of the Type II SN 2023ixf in M101
###### Abstract
As one of the closest supernovae (SNe) in the last decade, SN 2023ixf is an unprecedented target to investigate the progenitor star that exploded. However, there is still significant uncertainty in the re... |
2301.10309 | Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual
Conditional Generation with Interaction | Crosslingual conditional generation (e.g., machine translation) has long
enjoyed the benefits of scaling. Nonetheless, there are still issues that scale
alone may not overcome. A source query in one language, for instance, may yield
several translation options in another language without any extra context. Only
one tra... | Jonathan Pilault, Xavier Garcia, Arthur Bražinskas, Orhan Firat | 2023-01-24T21:08:13Z | http://arxiv.org/abs/2301.10309v1 | Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction
###### Abstract
Crosslingual conditional generation (e.g., machine translation) has long enjoyed the benefits of scaling. Nonetheless, there are still issues that scale alone may not overcome. A source query in ... |
2302.09308 | Consistency Tests for Comparing Astrophysical Models and Observations | In astronomy, there is an opportunity to enhance the practice of validating
models through statistical techniques, specifically to account for measurement
error uncertainties. While models are commonly used to describe observations,
there are instances where there is a lack of agreement between the two. This
can occur ... | Fiorenzo Stoppa, Eric Cator, Gijs Nelemans | 2023-02-18T11:50:25Z | http://arxiv.org/abs/2302.09308v1 | # Consistency Tests for Comparing Astrophysical Models and Observations
###### Abstract
In astronomy, there is an opportunity to enhance the practice of validating models through statistical techniques, specifically to account for measurement error uncertainties. While models are commonly used to describe observation... |
2303.09021 | Encoding acyclic orientation of complete multipartite graphs | In this work we study the acyclic orientations of complete multipartite
graphs. We obtain an encoding of the acyclic orientations of the complete
$p$-partite graph with size of its parts $n:=n_1,n_2,\ldots,n_p$ via a vector
with $p$ symbols and length $n_1+n_2+\ldots+n_p$ when the parts are fixed but
not the vertices i... | Walter Carballosa, Jessica Khera, Francisco Reyes | 2023-03-16T01:24:27Z | http://arxiv.org/abs/2303.09021v1 | # Encoding acyclic orientation of complete multipartite graphs
###### Abstract
In this work we study the acyclic orientations of complete multipartite graphs. We obtain an encoding of the acyclic orientations of the complete \(p\)-partite graph with size of its parts \(n:=n_{1},n_{2},\ldots,n_{p}\) via a vector with ... |
2310.00883 | Charged spinning fermionic configurations and a mass gap | We consider a self-consistent axially symmetric system supported by a
classical nonlinear spinor field minimally coupled to electric and magnetic
Maxwell fields. The presence of the nonlinearity of the spinor field ensures
the existence of a minimum positive energy of the system (a mass gap), of a
minimum charge (a cha... | Vladimir Dzhunushaliev, Vladimir Folomeev | 2023-10-02T03:57:07Z | http://arxiv.org/abs/2310.00883v1 | # Charged spinning fermionic configurations and a mass gap
###### Abstract
We consider a self-consistent axially symmetric system supported by a classical nonlinear spinor field minimally coupled to electric and magnetic Maxwell fields. The presence of the nonlinearity of the spinor field ensures the existence of a m... |
2301.07675 | A stochastic search for intermittent gravitational-wave backgrounds | A likely source of a gravitational-wave background (GWB) in the frequency
band of the Advanced LIGO, Virgo and KAGRA detectors is the superposition of
signals from the population of unresolvable stellar-mass binary-black-hole
(BBH) mergers throughout the Universe. Since the duration of a BBH merger in
band ($\sim\!1~{\... | Jessica Lawrence, Kevin Turbang, Andrew Matas, Arianna I. Renzini, Nick van Remortel, Joseph D. Romano | 2023-01-18T17:52:33Z | http://arxiv.org/abs/2301.07675v1 | # A stochastic search for intermittent gravitational-wave backgrounds
###### Abstract
A likely source of a gravitational-wave background (GWB) in the frequency band of the Advanced LIGO, Virgo and KAGRA detectors is the superposition of signals from the population of unresolvable stellar-mass binary-black-hole (BBH) ... |
2309.03231 | Quantum-AI empowered Intelligent Surveillance: Advancing Public Safety
Through Innovative Contraband Detection | Surveillance systems have emerged as crucial elements in upholding peace and
security in the modern world. Their ubiquity aids in monitoring suspicious
activities effectively. However, in densely populated environments, continuous
active monitoring becomes impractical, necessitating the development of
intelligent surve... | Syed Atif Ali Shah, Nasir Algeelani, Najeeb Al-Sammarraie | 2023-09-05T04:26:26Z | http://arxiv.org/abs/2309.03231v1 | Quantum-AI empowered Intelligent Surveillance: Advancing Public Safety Through Innovative Contraband Detection
###### Abstract
Surveillance systems have emerged as crucial elements in upholding peace and security in the modern world. Their ubiquity aids in monitoring suspicious activities effectively. However, in den... |
2310.16039 | Modeling of Fluctuations in Dynamical Optoelectronic Device Simulations
within a Maxwell-Density Matrix Langevin Approach | We present a full-wave Maxwell-density matrix simulation tool including
c-number stochastic noise terms for the modeling of the spatiotemporal dynamics
in active photonic devices, such as quantum cascade lasers (QCLs) and quantum
dot (QD) structures. The coherent light-matter interaction in such devices
plays an import... | Johannes Popp, Johannes Stowasser, Michael A. Schreiber, Lukas Seitner, Felix Hitzelhammer, Michael Haider, Gabriela Slavcheva, Christian Jirauschek | 2023-10-24T17:54:04Z | http://arxiv.org/abs/2310.16039v2 | Modeling of Fluctuations in Dynamical Optoelectronic Device Simulations within a Maxwell-Density Matrix Langevin Approach
###### Abstract
We present a full-wave Maxwell-density matrix simulation tool including c-number stochastic noise terms for the modeling of the spatiotemporal dynamics in active photonic devices, ... |
2302.01754 | Robust Funnel Model Predictive Control for output tracking with
prescribed performance | We propose a novel robust Model Predictive Control (MPC) scheme for nonlinear
multi-input multi-output systems of relative degree one with stable internal
dynamics. The proposed algorithm is a combination of funnel MPC, i.e., MPC with
a particular stage cost, and the model-free adaptive funnel controller. The new
robus... | Thomas Berger, Dario Dennstädt, Lukas Lanza, Karl Worthmann | 2023-02-03T14:15:01Z | http://arxiv.org/abs/2302.01754v2 | # Robust Funnel MPC for nonlinear systems with relative degree one1
###### Abstract
We propose a novel Model Predictive Control scheme for robust output reference tracking with prescribed performance for nonlinear multi-input multi-output systems of relative degree one with stable internal dynamics. Combining funnel ... |
2306.02972 | Simultaneous or Sequential Training? How Speech Representations
Cooperate in a Multi-Task Self-Supervised Learning System | Speech representation learning with self-supervised algorithms has resulted
in notable performance boosts in many downstream tasks. Recent work combined
self-supervised learning (SSL) and visually grounded speech (VGS) processing
mechanisms for representation learning. The joint training with SSL and VGS
mechanisms pro... | Khazar Khorrami, María Andrea Cruz Blandón, Tuomas Virtanen, Okko Räsänen | 2023-06-05T15:35:19Z | http://arxiv.org/abs/2306.02972v1 | Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System +
###### Abstract
Speech representation learning with self-supervised algorithms has resulted in notable performance boosts in many downstream tasks. Recent work combined self-supervised learning ... |
2304.14969 | Exact and approximate simulation of large quantum circuits on a single
GPU | We benchmark the performances of Qrack, an open-source software library for
the high-performance classical simulation of (gate-model) quantum computers.
Qrack simulates, in the Schr\"odinger picture, the exact quantum state of $n$
qubits evolving under the application of a circuit composed of elementary
quantum gates. ... | Daniel Strano, Benn Bollay, Aryan Blaauw, Nathan Shammah, William J. Zeng, Andrea Mari | 2023-04-28T16:45:28Z | http://arxiv.org/abs/2304.14969v2 | # Exact and approximate simulation of large quantum circuits on a single GPU
###### Abstract
We benchmark the performances of Qrack, an open-source software library for the high-performance classical simulation of (gate-model) quantum computers. Qrack simulates, in the Schrodinger picture, the exact quantum state of ... |
2307.10087 | An integro-differential model for the spread of diseases | In this study, we present an integro-differential model to simulate the local
spread of infections. The model incorporates a standard
susceptible-infected-recovered (\textit{SIR}-) model enhanced by an integral
kernel, allowing for non-homogeneous mixing between susceptibles and
infectives. We define requirements for t... | Moritz Schäfer, Karol Niedzielewski, Thomas Götz, Tyll Krüger | 2023-07-19T15:57:03Z | http://arxiv.org/abs/2307.10087v1 | # An integro-differential model for the spread of diseases
###### Abstract
In this study, we present an integro-differential model to simulate the local spread of infections. The model incorporates a standard susceptible-infected-recovered (_SIR-_) model enhanced by an integral kernel, allowing for non-homogeneous mi... |
2310.15530 | Constraining exotic dark matter models with the dark ages 21-cm signal | The dark ages 21-cm signal is a powerful tool for precision cosmology and
probing new physics. We study two non-standard models: an excess radio
background (ERB) model (possibly generated by dark matter decay) and the
millicharged dark matter (mDM) model. These models were inspired by the
possible EDGES detection of a ... | Rajesh Mondal, Rennan Barkana, Anastasia Fialkov | 2023-10-24T05:28:55Z | http://arxiv.org/abs/2310.15530v2 | # Constraining exotic dark matter models with the dark ages 21-cm signal
###### Abstract
The dark ages 21-cm signal is a powerful tool for precision cosmology and probing new physics. We study two non-standard models: an excess radio background (ERB) model (possibly generated by dark matter decay) and the millicharge... |
2303.12367 | AIIPot: Adaptive Intelligent-Interaction Honeypot for IoT Devices | The proliferation of the Internet of Things (IoT) has raised concerns about
the security of connected devices. There is a need to develop suitable and
cost-efficient methods to identify vulnerabilities in IoT devices in order to
address them before attackers seize opportunities to compromise them. The
deception techniq... | Volviane Saphir Mfogo, Alain Zemkoho, Laurent Njilla, Marcellin Nkenlifack, Charles Kamhoua | 2023-03-22T08:06:41Z | http://arxiv.org/abs/2303.12367v1 | # AIIPot: Adaptive Intelligent-Interaction Honeypot for IoT Devices
###### Abstract
The proliferation of the Internet of Things (IoT) has raised concerns about the security of connected devices. There is a need to develop suitable and cost-efficient methods to identify vulnerabilities in IoT devices in order to addre... |
2310.05723 | Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement
Learning | Offline pretraining with a static dataset followed by online fine-tuning
(offline-to-online, or OtO) is a paradigm well matched to a real-world RL
deployment process. In this scenario, we aim to find the best-performing policy
within a limited budget of online interactions. Previous work in the OtO
setting has focused ... | Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Amos Storkey | 2023-10-09T13:47:05Z | http://arxiv.org/abs/2310.05723v3 | # Planning to Go Out-of-Distribution in
###### Abstract
Offline pretraining with a static dataset followed by online fine-tuning (offline-to-online, or OtO) is a paradigm that is well matched to a real-world RL deployment process: in few real settings would one deploy an offline policy with no test runs and tuning. I... |
2307.08810 | Operator Guidance Informed by AI-Augmented Simulations | This paper will present a multi-fidelity, data-adaptive approach with a Long
Short-Term Memory (LSTM) neural network to estimate ship response statistics in
bimodal, bidirectional seas. The study will employ a fast low-fidelity,
volume-based tool SimpleCode and a higher-fidelity tool known as the Large
Amplitude Motion... | Samuel J. Edwards, Michael Levine | 2023-07-17T19:56:09Z | http://arxiv.org/abs/2307.08810v1 | **Operator Guidance Informed by AI-Augmented Simulations**
## Abstract
_This paper will present a multi-fidelity, data-adaptive approach with a Long Short-Term Memory (LSTM) neural network to estimate ship response statistics in bimodal, bidirectional seas. The study will employ a fast low-fidelity, volume-based tool... |
2301.05062 | Tracr: Compiled Transformers as a Laboratory for Interpretability | We show how to "compile" human-readable programs into standard decoder-only
transformer models. Our compiler, Tracr, generates models with known structure.
This structure can be used to design experiments. For example, we use it to
study "superposition" in transformers that execute multi-step algorithms.
Additionally, ... | David Lindner, János Kramár, Sebastian Farquhar, Matthew Rahtz, Thomas McGrath, Vladimir Mikulik | 2023-01-12T14:59:19Z | http://arxiv.org/abs/2301.05062v5 | [
###### Abstract
Interpretability research aims to build tools for understanding machine learning (ML) models. However, such tools are inherently hard to evaluate because we do not have ground truth information about how ML models actually work. In this work, we propose to build transformer models _manually_ as a te... |
2305.17191 | MT-SLVR: Multi-Task Self-Supervised Learning for Transformation
In(Variant) Representations | Contrastive self-supervised learning has gained attention for its ability to
create high-quality representations from large unlabelled data sets. A key
reason that these powerful features enable data-efficient learning of
downstream tasks is that they provide augmentation invariance, which is often a
useful inductive b... | Calum Heggan, Tim Hospedales, Sam Budgett, Mehrdad Yaghoobi | 2023-05-29T09:10:50Z | http://arxiv.org/abs/2305.17191v2 | # MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
###### Abstract
Contrastive self-supervised learning has gained attention for its ability to create high-quality representations from large unlabelled data sets. A key reason that these powerful features enable data-efficien... |
2310.03352 | Tractable Bounding of Counterfactual Queries by Knowledge Compilation | We discuss the problem of bounding partially identifiable queries, such as
counterfactuals, in Pearlian structural causal models. A recently proposed
iterated EM scheme yields an inner approximation of those bounds by sampling
the initialisation parameters. Such a method requires multiple (Bayesian
network) queries ove... | David Huber, Yizuo Chen, Alessandro Antonucci, Adnan Darwiche, Marco Zaffalon | 2023-10-05T07:10:40Z | http://arxiv.org/abs/2310.03352v1 | # Tractable Bounding of Counterfactual Queries by Knowledge Compilation
###### Abstract
We discuss the problem of bounding partially identifiable queries, such as counterfactuals, in Pearlian structural causal models. A recently proposed iterated EM scheme yields an inner approximation of those bounds by sampling the... |
2309.01426 | A Unified Framework for Guiding Generative AI with Wireless Perception
in Resource Constrained Mobile Edge Networks | With the significant advancements in artificial intelligence (AI)
technologies and powerful computational capabilities, generative AI (GAI) has
become a pivotal digital content generation technique for offering superior
digital services. However, directing GAI towards desired outputs still suffer
the inherent instabili... | Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Deepu Rajan, Shiwen Mao, Xuemin, Shen | 2023-09-04T08:18:35Z | http://arxiv.org/abs/2309.01426v1 | A Unified Framework for Guiding Generative AI with Wireless Perception in Resource Constrained Mobile Edge Networks
###### Abstract
With the significant advancements in artificial intelligence (AI) technologies and powerful computational capabilities, generative AI (GAI) has become a pivotal digital content generatio... |
2302.03143 | Sparsification of Monotone $k$-Submodular Functions of Low Curvature | Pioneered by Benczur and Karger for cuts in graphs [STOC'96], sparsification
is a fundamental topic with wide-ranging applications that has been studied,
e.g., for graphs and hypergraphs, in a combinatorial and a spectral setting,
and with additive and multiplicate error bounds. Rafiey and Yoshida recently
considered s... | Jannik Kudla, Stanislav Živný | 2023-02-06T22:15:07Z | http://arxiv.org/abs/2302.03143v1 | # Sparsification of Monotone \(k\)-Submodular
###### Abstract
Pioneered by Benczur and Karger for cuts in graphs [STOC'96], sparsification is a fundamental topic with wide-ranging applications that has been studied, e. g., for graphs and hypergraphs, in a combinatorial and a spectral setting, and with additive and mu... |
2308.16273 | Identifiable specializations for ODE models | The parameter identifiability problem for a dynamical system is to determine
whether the parameters of the system can be found from data for the outputs of
the system. Verifying whether the parameters are identifiable is a necessary
first step before a meaningful parameter estimation can take place.
Non-identifiability... | Alexey Ovchinnikov, Anand Pillay, Gleb Pogudin, Thomas Scanlon | 2023-08-30T19:02:26Z | http://arxiv.org/abs/2308.16273v2 | # Identifiable specializations for ODE models
###### Abstract
The parameter identifiability problem for a dynamical system is to determine whether the parameters of the system can be found from data for the outputs of the system. Verifying whether the parameters are identifiable is a necessary first step before a mea... |
2310.02058 | Extending the capabilities of vectorial ptychography to
circular-polarizing materials such as cholesteric liquid crystals | The problem of imaging materials with circular polarization properties is
discussed within the framework of vectorial ptychography. We demonstrate, both
theoretically and numerically, that using linear polarizations to investigate
such materials compromises the unicity of the solution provided by this
computational met... | Patrick Ferrand, Michel Mitov | 2023-10-03T14:01:20Z | http://arxiv.org/abs/2310.02058v1 | Extending the capabilities of vectorial ptychography to circular-polarizing materials such as cholesteric liquid crystals
###### Abstract
The problem of imaging materials with circular polarization properties is discussed within the framework of vectorial ptychography. We demonstrate, both theoretically and numerical... |
2303.02160 | Navigates Like Me: Understanding How People Evaluate Human-Like AI in
Video Games | We aim to understand how people assess human likeness in navigation produced
by people and artificially intelligent (AI) agents in a video game. To this
end, we propose a novel AI agent with the goal of generating more human-like
behavior. We collect hundreds of crowd-sourced assessments comparing the
human-likeness of... | Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Georgescu, Jaroslaw Rzpecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann | 2023-03-02T18:59:04Z | http://arxiv.org/abs/2303.02160v1 | # Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games
###### Abstract.
We aim to understand how people assess human likeness in navigation produced by people and artificially intelligent (AI) agents in a video game. To this end, we propose a novel AI agent with the goal of generating mor... |
2305.06088 | Building Interoperable Electronic Health Records as Purpose-Driven
Knowledge Graphs | When building a new application we are increasingly confronted with the need
of reusing and integrating pre-existing knowledge. Nevertheless, it is a fact
that this prior knowledge is virtually impossible to reuse as-is. This is true
also in domains, e.g., eHealth, where a lot of effort has been put into
developing hig... | Simone Bocca, Alessio Zamboni, Gabor Bella, Yamini Chandrashekar, Mayukh Bagchi, Gabriel Kuper, Paolo Bouquet, Fausto Giunchiglia | 2023-05-10T12:11:42Z | http://arxiv.org/abs/2305.06088v1 | # Building Interoperable Electronic Health Records as Purpose Driven Knowledge Graphs+
###### Abstract
When building a new application we are increasingly confronted with the need of reusing and integrating pre-existing knowledge. Nevertheless, it is a fact that this prior knowledge is virtually impossible to reuse _... |
2307.10093 | Revisiting invariances and introducing priors in Gromov-Wasserstein
distances | Gromov-Wasserstein distance has found many applications in machine learning
due to its ability to compare measures across metric spaces and its invariance
to isometric transformations. However, in certain applications, this invariance
property can be too flexible, thus undesirable. Moreover, the
Gromov-Wasserstein dist... | Pinar Demetci, Quang Huy Tran, Ievgen Redko, Ritambhara Singh | 2023-07-19T16:00:29Z | http://arxiv.org/abs/2307.10093v1 | # Revisiting invariances and introducing priors in Gromov-Wasserstein distances
###### Abstract
Gromov-Wasserstein distance has found many applications in machine learning due to its ability to compare measures across metric spaces and its invariance to isometric transformations. However, in certain applications, thi... |
2306.16913 | AutoML in Heavily Constrained Applications | Optimizing a machine learning pipeline for a task at hand requires careful
configuration of various hyperparameters, typically supported by an AutoML
system that optimizes the hyperparameters for the given training dataset. Yet,
depending on the AutoML system's own second-order meta-configuration, the
performance of th... | Felix Neutatz, Marius Lindauer, Ziawasch Abedjan | 2023-06-29T13:05:12Z | http://arxiv.org/abs/2306.16913v2 | # AutoML in Heavily Constrained Applications
###### Abstract
Optimizing a machine learning pipeline for a task at hand requires careful configuration of various hyperparameters, typically supported by an AutoML system that optimizes the hyperparameters for the given training dataset. Yet, depending on the AutoML syst... |
2304.00908 | Freeze-in of WIMP dark matter | The nature of dark matter (DM) remains one of the most important unanswered
questions in particle physics. Here, we propose a novel scenario for DM in
which weakly interacting massive particles (WIMPs) can freeze-in due to a
first-order phase transition (FOPT) in the early Universe. The FOPT dilutes the
pre-existing DM... | Xiao-Rui Wang, Ke-Pan Xie | 2023-04-03T11:55:39Z | http://arxiv.org/abs/2304.00908v3 | # Freeze-in of WIMP dark matter
###### Abstract
The nature of dark matter (DM) remains one of the most important unanswered questions in particle physics. Here, we propose a novel scenario for DM in which weakly interacting massive particles (WIMPs) can freeze-in due to a first-order phase transition (FOPT) in the ea... |
2310.15524 | On the Inherent Privacy Properties of Discrete Denoising Diffusion
Models | Privacy concerns have led to a surge in the creation of synthetic datasets,
with diffusion models emerging as a promising avenue. Although prior studies
have performed empirical evaluations on these models, there has been a gap in
providing a mathematical characterization of their privacy-preserving
capabilities. To ad... | Rongzhe Wei, Eleonora Kreačić, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li | 2023-10-24T05:07:31Z | http://arxiv.org/abs/2310.15524v3 | # On the Inherent Privacy Properties of Discrete Denoising Diffusion Models
###### Abstract
Privacy concerns have led to a surge in the creation of synthetic datasets, with diffusion models emerging as a promising avenue. Although prior studies have performed empirical evaluations on these models, there has been a ga... |
2302.02249 | Self-supervised Multi-view Disentanglement for Expansion of Visual
Collections | Image search engines enable the retrieval of images relevant to a query
image. In this work, we consider the setting where a query for similar images
is derived from a collection of images. For visual search, the similarity
measurements may be made along multiple axes, or views, such as style and
color. We assume acces... | Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni | 2023-02-04T22:09:17Z | http://arxiv.org/abs/2302.02249v1 | # Self-supervised Multi-view Disentanglement for Expansion of Visual Collections
###### Abstract.
Image search engines enable the retrieval of images relevant to a query image. In this work, we consider the setting where a query for similar images is derived from a _collection of images_. For visual search, the simil... |
2301.04368 | On the functional form of the radial acceleration relation | We apply a new method for learning equations from data -- Exhaustive Symbolic
Regression (ESR) -- to late-type galaxy dynamics as encapsulated in the radial
acceleration relation (RAR). Relating the centripetal acceleration due to
baryons, $g_\text{bar}$, to the total dynamical acceleration, $g_\text{obs}$,
the RAR has... | Harry Desmond, Deaglan J. Bartlett, Pedro G. Ferreira | 2023-01-11T09:26:16Z | http://arxiv.org/abs/2301.04368v2 | # On the functional form of the radial acceleration relation
###### Abstract
We apply a new method for learning equations from data--_Ezhaustive Symbolic Regression_ (ESR)--to late-type galaxy dynamics as encapsulated in the radial acceleration relation (RAR). Relating the centripetal acceleration due to baryons, \(g... |
2308.08059 | Topological Properties of Almost Abelian Groups | An almost Abelian Lie group is a non-Abelian Lie group with a codimension 1
Abelian subgroup. We show that all discrete subgroups of complex simply
connected almost Abelian groups are finitely generated. The topology of
connected almost Abelian Lie groups is studied by expressing each connected
almost Abelian Lie group... | Zhirayr Avetisyan, Oderico-Benjamin Buran, Andrew Paul, Lisa Reed | 2023-08-15T22:04:23Z | http://arxiv.org/abs/2308.08059v1 | # Topological properties of almost abelian Lie groups
###### Abstract.
An almost Abelian Lie group is a non-Abelian Lie group with a codimension \(1\) Abelian subgroup. We show that all discrete subgroups of complex simply connected almost Abelian groups are finitely generated. The topology of connected almost Abelia... |
2301.13614 | Synchronized states in dissipatively coupled harmonic oscillator
networks | The question under which conditions oscillators with slightly different
frequencies synchronize appears in various settings. We show that
synchronization can be achieved even for harmonic oscillators that are
bilinearly coupled via a purely dissipative interaction. By appropriately tuned
gain/loss stable dynamics may b... | Juan N. Moreno, Christopher W. Wächtler, Alexander Eisfeld | 2023-01-30T18:14:03Z | http://arxiv.org/abs/2301.13614v1 | # Synchronized states in dissipatively coupled harmonic oscillator networks
###### Abstract
The question under which conditions oscillators with slightly different frequencies synchronize appears in various settings. We show that synchronization can be achieved even for _harmonic_ oscillators that are bilinearly coup... |
2305.10832 | Knowledge-based Integration of Multi-Omic Datasets with Anansi:
Annotation-based Analysis of Specific Interactions | Motivation: Studies including more than one type of 'omics data sets are
becoming more prevalent. Integrating these data sets can be a way to solidify
findings and even to make new discoveries. However, integrating multi-omics
data sets is challenging. Typically, data sets are integrated by performing an
all-vs-all cor... | Thomaz F. S. Bastiaanssen, Thomas P. Quinn, John F. Cryan | 2023-05-18T09:21:30Z | http://arxiv.org/abs/2305.10832v1 | # Knowledge-based Integration of Multi-Omic Datasets with Anansi:
###### Abstract
**Motivation:** Studies including more than one type of 'omics data sets are becoming more prevalent. Integrating these data sets can be a way to solidify findings and even to make new discoveries. However, integrating multi-omics data ... |
2310.05737 | Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation | While Large Language Models (LLMs) are the dominant models for generative
tasks in language, they do not perform as well as diffusion models on image and
video generation. To effectively use LLMs for visual generation, one crucial
component is the visual tokenizer that maps pixel-space inputs to discrete
tokens appropr... | Lijun Yu, José Lezama, Nitesh B. Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Vighnesh Birodkar, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang | 2023-10-09T14:10:29Z | http://arxiv.org/abs/2310.05737v3 | # Language Model Beats Diffusion
###### Abstract
While Large Language Models (LLMs) are the dominant models for generative tasks in language, they do not perform as well as diffusion models on image and video generation. To effectively use LLMs for visual generation, one crucial component is the visual tokenizer that... |
2308.09347 | Endowments, patience types, and uniqueness in two-good HARA utility
economies | This paper establishes a link between endowments, patience types, and the
parameters of the HARA Bernoulli utility function that ensure equilibrium
uniqueness in an economy with two goods and two impatience types with additive
separable preferences. We provide sufficient conditions that guarantee
uniqueness of equilibr... | Andrea Loi, Stefano Matta | 2023-08-18T07:10:03Z | http://arxiv.org/abs/2308.09347v1 | # Endowments, patience types, and uniqueness in two-good Hara utility economies
###### Abstract.
This paper establishes a link between endowments, patience types, and the parameters of the HARA Bernoulli utility function that ensure equilibrium uniqueness in an economy with two goods and two impatience types with add... |
2307.08804 | Bjet_MCMC: A new tool to automatically fit the broadband SEDs of blazars | Multiwavelength observations are now the norm for studying blazars' various
states of activity, classifying them, and determining possible underlying
physical processes driving their emission. Broadband emission models became
unavoidable tools for testing emission scenarios and setting values to physical
quantities suc... | Olivier Hervet, Caitlin A. Johnson, Adrian Youngquist | 2023-07-17T19:39:38Z | http://arxiv.org/abs/2307.08804v2 | # Bjet_MCMC: A new tool to automatically fit the broadband SEDs of blazars
###### Abstract
Multiwavelength observations are now the norm for studying blazars' various states of activity, classifying them, and determining possible underlying physical processes driving their emission. Broadband emission models became u... |
2302.13344 | Tailoring Language Generation Models under Total Variation Distance | The standard paradigm of neural language generation adopts maximum likelihood
estimation (MLE) as the optimizing method. From a distributional view, MLE in
fact minimizes the Kullback-Leibler divergence (KLD) between the distribution
of the real data and that of the model. However, this approach forces the model
to dis... | Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang | 2023-02-26T16:32:52Z | http://arxiv.org/abs/2302.13344v1 | # Tailoring Language Generation Models under Total Variation Distance
###### Abstract
The standard paradigm of neural language generation adopts maximum likelihood estimation (MLE) as the optimizing method. From a distributional view, MLE in fact minimizes the Kullback-Leibler divergence (KLD) between the distributio... |
2310.03346 | Combining Datasets with Different Label Sets for Improved Nucleus
Segmentation and Classification | Segmentation and classification of cell nuclei in histopathology images using
deep neural networks (DNNs) can save pathologists' time for diagnosing various
diseases, including cancers, by automating cell counting and morphometric
assessments. It is now well-known that the accuracy of DNNs increases with the
sizes of a... | Amruta Parulekar, Utkarsh Kanwat, Ravi Kant Gupta, Medha Chippa, Thomas Jacob, Tripti Bameta, Swapnil Rane, Amit Sethi | 2023-10-05T06:56:54Z | http://arxiv.org/abs/2310.03346v1 | # Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification
###### Abstract
Segmentation and classification of cell nuclei in histopathology images using deep neural networks (DNNs) can save pathologists' time for diagnosing various diseases, including cancers, by automating ce... |
2301.02719 | SDSS DR17: The Cosmic Slime Value Added Catalog | The "cosmic web", the filamentary large-scale structure in a cold dark matter
Universe, is readily apparent via galaxy tracers in spectroscopic surveys.
However, the underlying dark matter structure is as of yet unobservable and
mapping the diffuse gas permeating it lies beyond practical observational
capabilities. A r... | Matthew C. Wilde, Oskar Elek, Joseph N. Burchett, Daisuke Nagai, J. Xavier Prochaska, Jessica Werk, Sarah Tuttle, Angus G. Forbes | 2023-01-06T21:22:50Z | http://arxiv.org/abs/2301.02719v1 | # SDSS DR17: The Cosmic Slime Value Added Catalog
###### Abstract
The "cosmic web", the filamentary large-scale structure in a cold dark matter Universe, is readily apparent via galaxy tracers in spectroscopic surveys. However, the underlying dark matter structure is as of yet unobservable and mapping the diffuse gas... |
2309.01432 | On the Pólya conjecture for the Neumann problem in planar convex
domains | Denote by $N_{\cal N} (\Omega,\lambda)$ the counting function of the spectrum
of the Neumann problem in the domain $\Omega$ on the plane. G. P\'olya
conjectured that $N_{\cal N} (\Omega,\lambda) \ge (4\pi)^{-1} |\Omega|
\lambda$. We prove that for convex domains $N_{\cal N} (\Omega,\lambda) \ge (2
\sqrt 3 \,j_0^2)^{-1}... | N. Filonov | 2023-09-04T08:28:55Z | http://arxiv.org/abs/2309.01432v1 | # On the Polya conjecture for the Neumann problem in planar convex domains
###### Abstract
Denote by \(N_{\mathcal{N}}(\Omega,\lambda)\) the counting function of the spectrum of the Neumann problem in the domain \(\Omega\) on the plane. G. Polya conjectured that \(N_{\mathcal{N}}(\Omega,\lambda)\geqslant(4\pi)^{-1}|\... |
2310.17333 | Arabic Fine-Grained Entity Recognition | Traditional NER systems are typically trained to recognize coarse-grained
entities, and less attention is given to classifying entities into a hierarchy
of fine-grained lower-level subtypes. This article aims to advance Arabic NER
with fine-grained entities. We chose to extend Wojood (an open-source Nested
Arabic Named... | Haneen Liqreina, Mustafa Jarrar, Mohammed Khalilia, Ahmed Oumar El-Shangiti, Muhammad Abdul-Mageed | 2023-10-26T11:59:45Z | http://arxiv.org/abs/2310.17333v2 | # Arabic Fine-Grained Entity Recognition
###### Abstract
Traditional NER systems are typically trained to recognize coarse-grained entities, and less attention is given to classifying entities into a hierarchy of fine-grained lower-level subtypes. This article aims to advance Arabic NER with fine-grained entities. We... |
2303.00777 | Fast and reliable entanglement distribution with quantum repeaters:
principles for improving protocols using reinforcement learning | Future quantum technologies such as quantum communication, quantum sensing,
and distributed quantum computation, will rely on networks of shared
entanglement between spatially separated nodes. In this work, we provide
improved protocols/policies for entanglement distribution along a linear chain
of nodes, both homogene... | Stav Haldar, Pratik J. Barge, Sumeet Khatri, Hwang Lee | 2023-03-01T19:05:32Z | http://arxiv.org/abs/2303.00777v4 | Fast and reliable entanglement distribution with quantum repeaters: principles for improving protocols using reinforcement learning
###### Abstract
Future quantum technologies such as quantum communication, quantum sensing, and distributed quantum computation, will rely on networks of shared entanglement between spat... |
2304.05870 | Complexity and simplicity of self-gravitating fluids | We review a recently proposed definition of complexity of the structure of
self--gravitating fluids \cite{ch1}, and the criterium to define the simplest
mode of their evolution. We analyze the origin of these concepts and their
possible applications in the study of gravitation collapse. We start by
considering the stat... | L. Herrera | 2023-04-12T13:59:39Z | http://arxiv.org/abs/2304.05870v1 | # Complexity and Simplicity of Self-Gravitating Fluids
###### Abstract
We review a recently proposed definition of complexity of the structure of self-gravitating fluids [55], and the criterium to define the simplest mode of their evolution [56; 61]. We analyze the origin of these concepts and their possible applicat... |
2302.08002 | Deep Learning Enhanced Realized GARCH | We propose a new approach to volatility modeling by combining deep learning
(LSTM) and realized volatility measures. This LSTM-enhanced realized GARCH
framework incorporates and distills modeling advances from financial
econometrics, high frequency trading data and deep learning. Bayesian inference
via the Sequential M... | Chen Liu, Chao Wang, Minh-Ngoc Tran, Robert Kohn | 2023-02-16T00:20:43Z | http://arxiv.org/abs/2302.08002v2 | # Realized recurrent conditional heteroskedasticity model for volatility modelling
###### Abstract
We propose a new approach to volatility modelling by combining deep learning (LSTM) and realized volatility measures. This LSTM-enhanced realized GARCH framework incorporates and distills modeling advances from financia... |
2302.07331 | Shannon information entropy, soliton clusters and Bose-Einstein
condensation in log gravity | We give a probabilistic interpretation of the configurational partition
function of the logarithmic sector of critical cosmological topologically
massive gravity, in which the Hurwitz numbers considered in our previous works
assume the role of probabilities in a distribution on cycles of permutations.
In particular, it... | Yannick Mvondo-She | 2023-02-14T20:24:31Z | http://arxiv.org/abs/2302.07331v2 | # Shannon information entropy, soliton clusters and Bose-Einstein condensation in log gravity
###### Abstract
We give a probabilistic interpretation of the configurational partition function of the logarithmic sector of critical cosmological topologically massive gravity, in which the Hurwitz numbers considered in ou... |
2310.08213 | A Universal Scheme for Dynamic Partitioned Shortest Path Index | Shortest path (SP) computation is the fundamental operation in various
networks such as urban networks, logistic networks, communication networks,
social networks, etc. With the development of technology and societal
expansions, those networks tend to be massive. This, in turn, causes
deteriorated performance of SP com... | Mengxuan Zhang, Xinjie Zhou, Lei Li, Ziyi Liu, Goce Trajcevski, Yan Huang, Xiaofang Zhou | 2023-10-12T11:03:00Z | http://arxiv.org/abs/2310.08213v2 | # A Universal Scheme for Partitioned Dynamic Shortest Path Index
###### Abstract
Graph partitioning is a common solution to scale up the graph algorithms, and _shortest path (SP)_ computation is one of them. However, the existing solutions typically have a fixed partition method with a fixed path index and fixed part... |
2303.10564 | A Controlled Mean Field Model for Chiplet Population Dynamics | In micro-assembly applications, ensemble of chiplets immersed in a dielectric
fluid are steered using dielectrophoretic forces induced by an array of
electrode population. Generalizing the finite population deterministic models
proposed in prior works for individual chiplet position dynamics, we derive a
controlled mea... | Iman Nodozi, Abhishek Halder, Ion Matei | 2023-03-19T04:42:45Z | http://arxiv.org/abs/2303.10564v2 | # A Controlled Mean Field Model for Chiplet Population Dynamics
###### Abstract
In micro-assembly applications, ensemble of chiplets immersed in a dielectric fluid are steered using dielectrophoretic forces induced by an array of electrode population. Generalizing the finite population deterministic models proposed i... |
2308.04663 | Classification of lung cancer subtypes on CT images with synthetic
pathological priors | The accurate diagnosis on pathological subtypes for lung cancer is of
significant importance for the follow-up treatments and prognosis managements.
In this paper, we propose self-generating hybrid feature network (SGHF-Net) for
accurately classifying lung cancer subtypes on computed tomography (CT) images.
Inspired by... | Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas | 2023-08-09T02:04:05Z | http://arxiv.org/abs/2308.04663v1 | # Classification of Lung cancer subtypes on CT images with synthetic pathological priors
###### Abstract
The accurate diagnosis on pathological subtypes for lung cancer is of significant importance for the follow-up treatments and prognosis managements. In this paper, we propose self-generating hybrid feature network... |
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