6 citations · 8 across the 3 of their papers we have counts for
3 papers
A Differential Game Theoretic Neural Optimizer for Training Residual Networks
Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
Connections between Deep Neural Networks (DNNs) training and optimal control theory has attracted considerable attention as a principled tool of algorithmic design. Differential Dy…
Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method
Tian Chen, Lingge Li, Gabriel Elias +2
It is well established that temporal organization is critical to memory, and that the ability to temporally organize information is fundamental to many perceptual, cognitive, and m…
Deep Markov Chain Monte Carlo
Babak Shahbaba, Luis Martinez Lomeli, Tian Chen +1
We propose a new computationally efficient sampling scheme for Bayesian inference involving high dimensional probability distributions. Our method maps the original parameter space…