Running
Reproduction: REViT: Roto-reflection Equivariant Convolutional Vision Transformer
🎯
Explore code logs, traces and collaborate with a coding agent
Vimarsh
vimarsh
AI & ML interests
None yet
Recent Activity
updated a Space about 2 hours ago
vimarsh/repro-revit-roto-reflection-equivariant-convolutional-vision-transformer published a Space about 2 hours ago
vimarsh/repro-revit-roto-reflection-equivariant-convolutional-vision-transformer updated a Space about 3 hours ago
vimarsh/repro-little-by-little-continual-learning-via-incremental-mixture-of-rank-1-associative-memory-eOrganizations
Running
Reproduction: Little By Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts
🎯
Running
Reproduction: FedFit: Federated Dynamic Sparse Training via Fisher Information scoring
🎯
Explore project logs, code, and traces in an interactive UI
Running
Reproduction: Event2Vec — Processing Neuromorphic Events Directly by Representations in Vector Space
🎯
Explore project code, traces, and workspace in a web logbook
Running
Reproduction: ToaSt: Token Channel Selection and Structured Pruning for Efficient ViT
🍞
Explore project logs, code, and traces in an interactive web view
Running
Reproduction: A Capacity-Based Rationale for Multi-Head Attention
🎯
Explore project logs and collaborate with a coding agent
Running
Reproduction: Sample Margin-Aware Recalibration of Temperature Scaling
🎯
Explore experiment logs and collaborate with an AI agent
Running
Reproduction: How Can Mamba Learn In Context with Outliers and Generalize Provably?
🎯
Browse and share your project logbook with an AI agent
Running
Reproduction: Deep Networks Learn Deep Hierarchical Models
🎯
Explore and collaborate on experiment logs with an AI agent
Running
Reproduction: Combinatorial Sparse PCA Beyond the Spiked Identity Model
🎯
Explore and collaborate on research logbooks online
Running
Reproduction: How Many Different Outputs Can a Transformer Generate?
🎯
Explore and collaborate on a project logbook
Running
Reproduction: Delving into Muon and Beyond: Deep Analysis and Extensions
🎯
Explore and collaborate on a research logbook online
Running
Reproduction: Rational Transductors
🎯
Collaborate with your coding agent via a synced logbook
Running
Reproduction: On the Theory of Continual Learning with Gradient Descent for Neural Networks
🎯
Explore and collaborate on research logbooks in a web UI
Running
Reproduction: Understanding Dynamics of Adam in Zero-Sum Games: An ODE Approach
🎯
Explore a collaborative research logbook
Running
Reproduction: Quantifying the noise sensitivity of the Wasserstein metric for images
🎯
View and organize research notes in an interactive logbook
Running
Reproduction: Adversarially Robust Approximate Furthest Neighbor
🎯
Explore research reproducibility logbook and collaborate with an agent
Running
Repro - Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing
🎯
Track and collaborate on diffusion model experiments in a logbook
Running
Repro - SlideSparse: Fast and Flexible (2N-2):2N Structured Sparsity
🎯
Explore and collaborate on experiment logs with an AI agent
Running
Repro - Why Are Linear RNNs More Parallelizable?
🎯
Explore a logbook and sync findings with your coding agent
Running
Repro - Cost-aware Stopping for Bayesian Optimization
🎯
Track and sync experiment findings with an AI agent
Running
Repro - Float8@2bits: Entropy Coding Enables Data-Free Model Compression
🎯
Explore and share research experiment logs online
Running
Repro - MIMOMamba: From Scalar Duality to Matrix-Valued Attention
🌊
Explore project logbook and sync with coding agent