Justin Johnson

RyeCatcher

·

https://www.jandsgroupllc.com

AI & ML interests

Im a builder

Recent Activity

updated a Space 3 days ago

RyeCatcher/repro-quantifying-error-propagation-and-model-collapse-in-diffusion-models

published a Space 3 days ago

RyeCatcher/repro-quantifying-error-propagation-and-model-collapse-in-diffusion-models

updated a Space 3 days ago

RyeCatcher/repro-scalora-optimally-scaled-low-rank-adaptation-for-efficient-high-rank-fine-tuning

View all activity

Organizations

RyeCatcher 's Spaces 163

Reproduction: Compact Conformal Subgraphs

Explore code logs, traces, and workspace in an interactive logbook

Reproduction: Maximin Relative Improvement: Fair Learning as a Bargaining Problem

Explore experiment logs and collaborate with a coding agent

Reproduction: Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels

Explore and manage experiment logs in an interactive web UI

Reproduction: The Catastrophic Failure of the k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It

Explore code logs, execution traces, and workspace in a web UI

Reproduction: Asymptotically Optimal Sequential Testing with Markovian Data

Explore project logs, traces, and workspace in a web logbook

Reproduction: Two-Layer Linear Auto-Regressive Models Estimate Latent States

Explore and manage experiment logs with AI collaboration

Reproduction: Stability and Generalization of Nonconvex Optimization with Heavy-Tailed Noise

Explore and manage experiment logs in an interactive web view

Reproduction: Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks

Browse and edit code, traces, and workspace collaboratively

Reproduction: Next-Token Prediction and Regret Minimization

Explore code logs, traces, and workspace in an interactive logbook

Reproduction: Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?

Explore experiment logs, traces, and workspace files

Reproduction: Mirror Descent Under Generalized Smoothness

Explore code logs, traces, and workspace in an interactive logbook

Reproduction: Many Experiments, Few Repetitions, Unpaired Data, and Sparse Effects: Is Causal Inference Possible?

View and manage experiment logs with AI collaboration

Reproduction: Linear Regression with Unknown Truncation Beyond Gaussian Features

Explore and manage project logs with code, traces, and workspace

Reproduction: Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment

Explore code logs, traces, and workspace in a web logbook

Reproduction: Certificate-Guided Pruning for Stochastic Lipschitz Optimization

Explore research logs and collaborate with an AI agent

Reproduction: Bregman meets Lévy: Stochastic Mirror Descent with Heavy-Tailed Noise in Continuous and Discrete Time

Explore code logs, traces, and workspace with AI help

Reproduction: Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning

Explore code, traces, and workspace in an interactive logbook

Reproduction: Exactly Computing do-Shapley Values

Explore experiment logs, traces, and workspace in a web UI

Reproduction: Revenue Guarantees of No-Swap-Regret Dynamics in First Price Auctions

Explore code logs and collaborate with an AI agent

Reproduction: Innovation: An Almost Characterization of Hallucination

Explore project logs and sync findings with an AI agent

Reproduction: Solving Stochastic Variational Inequalities without the Bounded Variance Assumption

Explore experiment logs, code, and traces in a web workspace

Reproduction: Second-Order Bilevel Optimization with Accelerated Convergence Rates

Browse project logs, traces, and workspace online

Reproduction: Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality

Explore experiment logs and collaborate with a coding agent

Reproduction: Rationality Measurement and Theory for Reinforcement Learning Agents

Explore RL experiment logs, traces, and workspace online