DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator
Splitting

DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator Splitting

11 December 2022

Papers citing "DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator Splitting"

10 / 10 papers shown

Title
projUNN: efficient method for training deep networks with unitary matrices B. Kiani Randall Balestriero Yann LeCun S. Lloyd 70 32 0 10 Mar 2022
An overview on deep learning-based approximation methods for partial differential equations C. Beck Martin Hutzenthaler Arnulf Jentzen Benno Kuckuck 67 151 0 22 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 497 2,414 0 18 Oct 2020
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 496 42,449 0 03 Dec 2019
Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications Christian Hager H. Pfister 49 41 0 09 Apr 2018
Nonlinear Interference Mitigation via Deep Neural Networks Christian Hager H. Pfister 67 139 0 17 Oct 2017
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs Li Jing Yichen Shen T. Dubček J. Peurifoy S. Skirlo Yann LeCun Max Tegmark Marin Soljacic 71 178 0 15 Dec 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks Andrew M. Saxe James L. McClelland Surya Ganguli ODL 170 1,845 0 20 Dec 2013