2 citations · 3 across the 4 of their papers we have counts for
4 papers
Accelerated Sampling of Rare Events using a Neural Network Bias Potential
Xinru Hua, Rasool Ahmad, Jose Blanchet +1
In the field of computational physics and material science, the efficient sampling of rare events occurring at atomic scale is crucial. It aids in understanding mechanisms behind a…
Dynamic Flows on Curved Space Generated by Labeled Data
Xinru Hua, Truyen Nguyen, Tam Le +2
The scarcity of labeled data is a long-standing challenge for many machine learning tasks. We propose our gradient flow method to leverage the existing dataset (i.e., source) to ge…
Human Imperceptible Attacks and Applications to Improve Fairness
Xinru Hua, Huanzhong Xu, Jose Blanchet +1
Modern neural networks are able to perform at least as well as humans in numerous tasks involving object classification and image generation. However, small perturbations which are…
Improved Search Strategies with Application to Estimating Facial Blendshape Parameters
Michael Bao, David Hyde, Xinru Hua +1
It is well known that popular optimization techniques can lead to overfitting or even a lack of convergence altogether; thus, practitioners often utilize ad hoc regularization term…