715 citations · 1.4k across the 35 of their papers we have counts for
5 papers · 1 filter
Approximating Ground State Energies and Wave Functions of Physical Systems with Neural Networks
Cesar Lema, Anna Choromanska
Quantum theory has been remarkably successful in providing an understanding of physical systems at foundational scales. Solving the Schrödinger equation provides full knowledge of…
SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions
Jing Wang, Anna Choromanska
This paper addresses the problem of optimizing partition functions in a stochastic learning setting. We propose a stochastic variant of the bound majorization algorithm that relies…
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization
Yunfei Teng, Anna Choromanska, Murray Campbell +3
This paper studies a new design of the optimization algorithm for training deep learning models with a fixed architecture of the classification network in a continual learning fram…
Backdoor Attacks on the DNN Interpretation System
Shihong Fang, Anna Choromanska
Interpretability is crucial to understand the inner workings of deep neural networks (DNNs) and many interpretation methods generate saliency maps that highlight parts of the input…
Multi-modal Experts Network for Autonomous Driving
Shihong Fang, Anna Choromanska
End-to-end learning from sensory data has shown promising results in autonomous driving. While employing many sensors enhances world perception and should lead to more robust and r…