Running Reproduction: Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety 🎯 View and collaborate on research logbooks online
Running Reproduction: Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors 🎯 Explore and edit research logbooks with AI collaboration
Running Reproduction: Convergence Analysis of the Lion Optimizer in Centralized and Distributed Settings 🎯 Explore research logbook and sync findings with an AI agent
Running Reproduction: A Stronger Benchmark for Online Bilateral Trade: From Fixed Prices to Distributions 🎯 Explore a research logbook and sync findings with your coding agent
Running Reproduction: The Interplay Between Interpolation and Aggregation in Regression: Optimal Sample Complexity 🎯
Running Reproduction: Any-dimensional invariant universality 🎯 Collaborate on a shared logbook with your coding agent
Running Reproduction: On the Expressive Power of Permutation-Equivariant Weight-Space Networks 🎯 Collaborate on research logbooks with your coding agent
Running Reproduction: On the Power of (Approximate) Reward Models for Inference-Time Scaling: Sequential Monte Carlo and Beyond 🎯 Browse and collaborate on research logbooks with an AI agent
Running Reproduction: Efficiently Learning Drifting Halfspaces with Massart Noise 🎯 Browse research logbook and collaborate with a coding agent
Running Reproduction: Understanding Behavior Cloning with Action Quantization 🎯 Explore experiment logs and collaborate with an AI agent
Running Reproduction: Why Linear Recurrent Memory Works in Partially Observable Reinforcement Learning 🎯 Explore research logbook and sync with AI agent
Running Reproduction: Semantic Robustness Certification for Vision-Language Models 🎯 Explore research logbook and sync with your coding agent
Running Reproduction: Inverting Data Transformations via Diffusion Sampling 🎯 Browse and sync research logbook with an AI agent
Running Reproduction: Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting 🎯 Explore project logbook and collaborate with an AI agent
Running Reproduction: AMDP: Asynchronous Multi-Directional Pipeline Parallelism for Large-Scale Models Training 🎯 Explore and share experiment logs with an AI agent
Running Reproduction: MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance 🎯 Browse a research logbook and connect an AI coding agent
Running Reproduction: Beyond Heuristics: Learnable Density Control for 3D Gaussian Splatting 🎯 Browse and collaborate on research logbooks online
Running Reproduction: Residual Context Diffusion Language Models 🎯 Explore a project logbook and sync with an AI coding agent
Running Reproduction: Magnitude Distance: A Geometric Measure of Dataset Similarity 🎯 Explore experiment logs and collaborate with a coding agent
Running Reproduction: Two-Layer Linear Auto-Regressive Models Estimate Latent States 🎯 Explore and collaborate on research logbooks online
Running Reproduction: Flatness-Aware Stochastic Gradient Langevin Dynamics 🎯 Explore and collaborate on research reproducibility logs
Running Reproduction: Offline Reinforcement Learning with Generative Trajectory Policies 🎯 Explore experiment logs and collaborate with a coding agent
Running Reproduction: Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision 🎯 Explore and manage experiment logbook with agent collaboration
Running Reproduction: GFFMERGE: Efficient Merging of Graph Neural Force Fields and Beyond 🎯 Browse and collaborate on a project logbook