GitHub

robot-learning-freiburg/loopgnn

If you find our work useful, please consider citing our paper: @article{buechner2025visual, author={Büchner, Martin and Dahiya, Liza and Dorer, Simon and Ramtekkar, Vipul and Nishiimiya, Kenji and ...
IEEE

Closed-Loop Deep Brain Stimulation With Reinforcement Learning and Neural Simulation

Abstract: Deep Brain Stimulation (DBS) is effective for movement disorders, particularly Parkinson’s disease (PD). However, a closed-loop DBS system using reinforcement learning (RL) for automatic ...
GitHub

Ralph for Claude Code

Ralph is an implementation of the Geoffrey Huntley's technique for Claude Code that enables continuous autonomous development cycles he named after Ralph Wiggum. It enables continuous autonomous ...
IEEE

JPEG AI: The First International Standard for Image Coding Based on an End-to-End Learning-Based Approach

Abstract: In 2019, the JPEG Standardization Committee initiated JPEG AI to define the first image coding specifications, taking advantage of an end-to-end learning-based coding approach. The JPEG AI ...
marktechpost

NVIDIA AI Release VibeTensor: An AI Generated Deep Learning Runtime Built End to End by Coding Agents Programmatically

NVIDIA has released VIBETENSOR, an open-source research system software stack for deep learning. VIBETENSOR is generated by LLM-powered coding agents under high-level human guidance. The system asks a ...