Running Repro - Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection ⚡ Explore project logs, code, and traces in an interactive web view
Running Repro - Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection ⚡ Explore project logs, code, and traces in an interactive web view
Running Repro - Connecting Independently Trained Modes via Layer-Wise Connectivity 🎯 Explore experiment logs and collaborate with your coding agent
Running Repro - Connecting Independently Trained Modes via Layer-Wise Connectivity 🎯 Explore experiment logs and collaborate with your coding agent
Running Reproduction: Stochastic Sparse Attention for Memory-Bound Inference 🎯 Explore code, traces, and workspace in a research logbook
Running Reproduction: Stochastic Sparse Attention for Memory-Bound Inference 🎯 Explore code, traces, and workspace in a research logbook
Running Reproduction: Inductive Bias and Spectral Properties of Single-Head Attention in High Dimensions 🔬 Explore research logs and collaborate with an AI agent
Running Reproduction: Inductive Bias and Spectral Properties of Single-Head Attention in High Dimensions 🔬 Explore research logs and collaborate with an AI agent
Running StableI2I: Evidence-Backed Theoretical Reproduction 🎯 Explore code, traces and workspace in an interactive logbook
Running StableI2I: Evidence-Backed Theoretical Reproduction 🎯 Explore code, traces and workspace in an interactive logbook
Running Reproduction: Federated Bilevel Performative Prediction 🎯 Explore experiment logs, traces, and workspace in a web UI
Running Reproduction: Federated Bilevel Performative Prediction 🎯 Explore experiment logs, traces, and workspace in a web UI
Running Reproduction: Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings 🎯 Explore code, traces, and workspace for research projects
Running Reproduction: Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings 🎯 Explore code, traces, and workspace for research projects
Running Reproduction: Turning Stale Gradients into Stable Gradients: Coherent Coordinate Descent with Implicit Landscape Smoothing for Lightweight Zeroth-Order Optimization 🎯 Explore research code, traces, and workspace in a logbook
Running Reproduction: Turning Stale Gradients into Stable Gradients: Coherent Coordinate Descent with Implicit Landscape Smoothing for Lightweight Zeroth-Order Optimization 🎯 Explore research code, traces, and workspace in a logbook
Running Reproduction: Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems 🎯 Explore project logs, code traces, and workspace
Running Reproduction: Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems 🎯 Explore project logs, code traces, and workspace