Neural Networks with Cheap Differential Operators

8 December 2019

Papers citing "Neural Networks with Cheap Differential Operators"

8 / 8 papers shown

Title
Generalizing and Improving Jacobian and Hessian Regularization Chenwei Cui Zehao Yan Guangsheng Liu Liangfu Lu AAML 27 1 0 01 Dec 2022
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 48 51 0 04 Oct 2022
$$m^\ast$ of two-dimensional electron gas: a neural canonical transformation study$ $m^\ast$ of two-dimensional electron gas: a neural canonical transformation study H.-j. Xie Linfeng Zhang Lei Wang 33 8 0 10 Jan 2022
Climate Modeling with Neural Diffusion Equations JeeHyun Hwang Jeongwhan Choi Hwan-Kyu Choi Kookjin Lee Dongeun Lee Noseong Park DiffM 29 22 0 11 Nov 2021
Almost Surely Stable Deep Dynamics Nathan P. Lawrence Philip D. Loewen M. Forbes Johan U. Backstrom R. Bhushan Gopaluni BDL 40 20 0 26 Mar 2021
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms Patrick Kidger Ricky T. Q. Chen Terry Lyons 24 39 0 20 Sep 2020
Relative gradient optimization of the Jacobian term in unsupervised deep learning Luigi Gresele G. Fissore Adrián Javaloy Bernhard Schölkopf Aapo Hyvarinen DRL 19 22 0 26 Jun 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 251 2,550 0 25 Jan 2016