1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2026
Stochastic Attention: Connectome-Inspired Randomized Routing for Expressive Linear-Time Attention
Zehao Jin, Yanan Sui
The whole-brain connectome of a fruit fly comprises over 130K neurons connected with a probability of merely 0.02%, yet achieves an average shortest path of only 4.4 hops. Despite…
cs.LG2020★ 1 cited
Learning Principle of Least Action with Reinforcement Learning
Zehao Jin, Joshua Yao-Yu Lin, Siao-Fong Li
Nature provides a way to understand physics with reinforcement learning since nature favors the economical way for an object to propagate. In the case of classical mechanics, natur…