197 citations · 591 across the 57 of their papers we have counts for
4 papers · 1 filter
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization
Senwei Liang, Yuehaw Khoo, Haizhao Yang
Overfitting frequently occurs in deep learning. In this paper, we propose a novel regularization method called Drop-Activation to reduce overfitting and improve generalization. The…
SwitchNet: a neural network model for forward and inverse scattering problems
Yuehaw Khoo, Lexing Ying
We propose a novel neural network architecture, SwitchNet, for solving the wave equation based inverse scattering problems via providing maps between the scatterers and the scatter…
Convex relaxation approaches for strictly correlated density functional theory
Yuehaw Khoo, Lexing Ying
In this paper, we introduce methods from convex optimization to solve the multimarginal transport type problems arise in the context of density functional theory. Convex relaxation…
Solving for high dimensional committor functions using artificial neural networks
Yuehaw Khoo, Jianfeng Lu, Lexing Ying
In this note we propose a method based on artificial neural network to study the transition between states governed by stochastic processes. In particular, we aim for numerical sch…