Running
Repro - Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
🎯
Explore project logs, code, and traces in an interactive UI
Robert Francis PRO
MarxistLeninist
AI & ML interests
None yet
Recent Activity
updated a Space about 5 hours ago
MarxistLeninist/repro-qsched-4yzY0GFIJj published a Space about 5 hours ago
MarxistLeninist/repro-qsched-4yzY0GFIJj updated a dataset about 7 hours ago
MarxistLeninist/qsched-repro-outOrganizations
Running
Repro - NorMuon: Making Muon more efficient and scalable
🎯
Explore code logs and collaborate with an AI agent
Running
Repro - Latent Collaboration in Multi-Agent Systems
🎯
Sync and view agent logs in an interactive workspace
Running
Reproduction: Controlled LLM Training on Spectral Sphere
🔬
Explore experiment logs and collaborate with an AI agent
Running
Repro - Learning Randomized Reductions
🎯
Explore code logs, traces, and workspace with AI collaboration
Running
Reproduction: Speculative Coupled Decoding for Training-Free Lossless Acceleration of Autoregressive Visual Generation
🎯
Explore code logs, execution traces, and workspace files
Running
Repro - Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning
🎯
Track and explore your research code, traces, and workspace
Running
Repro - A Fourier perspective on the learning dynamics of neural networks
🔬
Explore research logbooks with code, traces, and workspace
Running
Reproduction: How can embedding models bind concepts?
🎯
Explore experiment logs and collaborate with an AI agent
Running
Repro - Sharpness-Aware Minimization Can Hallucinate Minimizers
🎯
Explore and manage experiment logs and traces
Running
Reproduction: Selecting Samples on Graphs: A Unified Dataset Pruning Framework for Lossless Training Acceleration
🎯
Explore code, traces, and workspace with an interactive logbook
Running
Repro - Exact and Approximate Algorithms for Polytree Learning
🎯
Track and explore algorithm runs with an interactive logbook
Running
Repro - Ambient Dataloops: Generative Models for Dataset Refinement
🎯
Explore and manage model logs, traces, and workspace
Running
Repro - Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
🎯
Explore experiment logs and collaborate with an AI agent
Running
Repro - Learning Dynamics of Zeroth-Order Optimization: A Kernel Perspective
🎯
Explore and organize experiment logs in an interactive web view
Running
Repro - Learning to Bet for Horizon-Aware Anytime-Valid Testing
🎯
Running
Repro - Skill Neologisms: Towards Skill-based Continual Learning
🎯
Explore and manage project logs, traces, and workspace
Running
Reproduction: Fast Non-Episodic Finite-Horizon RL with K-Step Lookahead Thresholding
🎯
Explore RL experiment logs, traces, and workspace online
Running
Reproduction: Coverage Improvement and Fast Convergence of On-policy Preference Learning
🎯
Running
Repro - Fast and Scalable Analytical Diffusion
🎯
Explore and analyze analytical diffusion logs
Running
Repro - A Fully First-Order Layer for Differentiable Optimization
🎯
Explore optimization logs and collaborate with AI
Running
Repro - Variational inference via Gaussian interacting particles in the Bures-Wasserstein geometry
🎯
Explore and collaborate on research logbooks online
Running
Reproduction: Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs
🎯
Explore and collaborate on research logbooks with an AI agent
Sleeping
Agents
IQojX8HugF Repro
🎯
Display I/O tracking results