research
∙
06/23/2023
Minibatch training of neural network ensembles via trajectory sampling
Most iterative neural network training methods use estimates of the loss...
share
research
∙
09/28/2022
Reinforcement Learning with Tensor Networks: Application to Dynamical Large Deviations
We present a framework to integrate tensor network (TN) methods with rei...
research
∙
09/22/2022
Training neural network ensembles via trajectory sampling
In machine learning, there is renewed interest in neural network ensembl...
research
∙
05/10/2021
Reinforcement learning of rare diffusive dynamics
We present a method to probe rare molecular dynamics trajectories direct...
research
∙
05/26/2020
A reinforcement learning approach to rare trajectory sampling
Very often when studying non-equilibrium systems one is interested in an...
research
∙
02/12/2020
