3 citations · 7 across the 18 of their papers we have counts for
4 papers · 1 filter
Riemannian Optimization in Modular Systems
Christian Pehle, Jean-Jacques Slotine
Understanding how systems built out of modular components can be jointly optimized is an important problem in biology, engineering, and machine learning. The backpropagation algori…
NRGPT: An Energy-based Alternative for GPT
Nima Dehmamy, Benjamin Hoover, Bishwajit Saha +3
Generative Pre-trained Transformer (GPT) architectures are the most popular design for language modeling. Energy-based modeling is a different paradigm that views inference as a dy…
Stable Modular Control via Contraction Theory for Reinforcement Learning
Bing Song, Jean-Jacques Slotine, Quang-Cuong Pham
We propose a novel way to integrate control techniques with reinforcement learning (RL) for stability, robustness, and generalization: leveraging contraction theory to realize modu…
Contraction Properties of the Global Workspace Primitive
Michaela Ennis, Leo Kozachkov, Jean-Jacques Slotine
To push forward the important emerging research field surrounding multi-area recurrent neural networks (RNNs), we expand theoretically and empirically on the provably stable RNNs o…