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Training neural networks under physical constraints using a stochastic
  augmented Lagrangian approach

Training neural networks under physical constraints using a stochastic augmented Lagrangian approach

15 September 2020
A. Dener
M. Miller
R. Churchill
T. Munson
Choong-Seock Chang
ArXiv (abs)PDFHTML

Papers citing "Training neural networks under physical constraints using a stochastic augmented Lagrangian approach"

2 / 2 papers shown
Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
511
42,449
0
03 Dec 2019
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Byungsoo Kim
Vinicius Azevedo
N. Thürey
Theodore Kim
Markus Gross
B. Solenthaler
GAN
60
389
0
06 Jun 2018
1