Running
Reproduction: Conditional Equivalence of DPO and RLHF: Assumptions, Failure Modes, and Provable Alignment
🎯
Track and collaborate on experiment logs with an AI agent
Robert Francis PRO
MarxistLeninist
AI & ML interests
None yet
Recent Activity
new activity 27 minutes ago
MarxistLeninist/AGILLM-4.3:checkpoint step1993084 new activity about 1 hour ago
MarxistLeninist/AGILLM-4.3:checkpoint step1992254Organizations
Running
Repro - Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment
🎯
Explore and collaborate on research logbooks with an AI agent
Sleeping
Agents
Icml2026 2kSBDoP1rE
🎯
Show interactive data tracking dashboard
Running
Reproduction: Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
🎯
Browse research logbook and sync with your coding agent
Running
Repro - Reinforcement Learning with Verifiable Rewards: GRPO's Loss, Dynamics, and Success Amplification
🎯
View and edit RL experiment logbook with AI agent collaboration
Sleeping
Agents
Z9Bo4eXSpW Repro
🎯
Show your tracking data in an interactive dashboard
Running
Reproduction: Prior Diffusiveness and Regret in the Linear-Gaussian Bandit
🎯
Explore and edit research logbooks with AI collaboration
Running
Reproduction: Envy-Free Allocation of Indivisible Goods via Noisy Queries
🎯
View and collaborate on research logbooks with an AI agent
Running
Repro - Maximum Likelihood Reinforcement Learning
🎯
Explore experiment logs and sync with your coding agent
Running
Repro - High-accuracy sampling for diffusion models and log-concave distributions
🎯
Browse and sync your project logbook with a coding agent
Running
Repro - Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
🎯
Explore a research logbook and collaborate with an AI agent
Running
Repro - Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression
🎯
Collaborate on a research logbook with an AI coding agent
Running
Reproduction: Inference of Online Newton Methods with Nesterov's Accelerated Sketching
🎯
Explore and share research logbooks online
Running
Reproduction: Asymptotically Optimal Sequential Testing with Markovian Data
🎯
Collaborate on a logbook with your coding agent
Running
Repro - Sample Complexity Bounds for Robust Mean Estimation with Mean-Shift Contamination
🎯
Collaborate on a research logbook with a coding agent
Running
Repro - Sharp Empirical Bernstein Inequalities for the Variance of Bounded Random Variables
🎯
Explore a research logbook and sync with an AI agent
Running
Reproduction: Steady-State Behavior of Constant-Stepsize Stochastic Approximation: Gaussian Approximation and Tail Bounds
🎯
Explore and sync research logbook with your AI agent
Running
Reproduction: Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks
🎯
Explore and collaborate on research logbooks
Running
Repro - AI Engram: In Search of Memory Traces in Artificial Intelligence
🎯
Explore and update an AI research logbook with agent help
Running
Reproduction: Approximate Proportionality in Online Fair Division
🎯
Browse and edit a research logbook with AI agent collaboration
Running
Reproduction: Rotary Position Encodings for Graphs
🎯
Explore experiment logbooks and collaborate with an AI agent
Running
Reproduction: The Optimal Sample Complexity of Linear Contracts
🎯
Explore a collaborative logbook and sync AI findings
Running
Repro - Deliberate Evolution: Agentic Reasoning for Sample-Efficient Symbolic Regression with LLMs
🎯
Explore and sync AI experiment logs with your coding agent
Running
Repro - How Can I Publish My LLM Benchmark Without Giving the True Answers Away?
🎯
Collaborate with an AI agent to manage LLM benchmark logbook