23 citations · 84 across the 8 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
Beyond Backpropagation: Monte Carlo Method Can Train Deep Neural Networks
Hong Zhao
Backpropagation (BP) dominates deep learning training, but its reliance on gradients brings inherent troubles -- vanishing and exploding gradients. The pursuit of gradient-free met…
cs.LG2022
How and what to learn:The modes of machine learning
Sihan Feng, Yong Zhang, Fuming Wang +1
Despite their great success, neural networks still remain as black-boxes due to the lack of interpretability. Here we propose a new analyzing method, namely the weight pathway anal…
cs.LG2019★ 23 cited
Inferring Global Dynamics of a Black-Box System Using Machine Learning
Hong Zhao
We present that, instead of establishing the equations of motion, one can model-freely reveal the dynamical properties of a black-box system using a learning machine. Trained only…