IMEXnet: A Forward Stable Deep Neural Network

6 March 2019

Papers citing "IMEXnet: A Forward Stable Deep Neural Network"

30 / 30 papers shown

Title
Wavelet Convolutions for Large Receptive Fields Shahaf E. Finder Roy Amoyal Eran Treister O. Freifeld ViT MDE 22 51 0 08 Jul 2024
Advection Augmented Convolutional Neural Networks N. Zakariaei Siddharth Rout Eldad Haber Moshe Eliasof AI4TS 16 2 0 27 Jun 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 30 2 0 16 Jun 2024
An Over Complete Deep Learning Method for Inverse Problems Moshe Eliasof Eldad Haber Eran Treister 6 3 0 07 Feb 2024
Feature Transportation Improves Graph Neural Networks Moshe Eliasof E. Haber Eran Treister GNN 39 10 0 29 Jul 2023
Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation using Compact Implicit Layers Bar Lerer Ido Ben-Yair Eran Treister AI4CE 13 3 0 30 Jun 2023
Stability of implicit neural networks for long-term forecasting in dynamical systems Léon Migus J. Salomon Patrick Gallinari AI4TS AI4CE 26 1 0 26 May 2023
Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks Moshe Eliasof Nir Ben Zikri Eran Treister SSL GNN 14 3 0 21 Oct 2022
Zero Stability Well Predicts Performance of Convolutional Neural Networks Liangming Chen Long Jin Mingsheng Shang MLT 19 8 0 27 Jun 2022
On the Stochastic Stability of Deep Markov Models Ján Drgoňa Sayak Mukherjee Jiaxin Zhang Frank Liu M. Halappanavar BDL 17 5 0 08 Nov 2021
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations Ido Ben-Yair Gil Ben Shalom Moshe Eliasof Eran Treister MQ 16 5 0 31 Aug 2021
Deep Neural Networks and PIDE discretizations B. Bohn M. Griebel D. Kannan 11 0 0 05 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 31 122 0 04 Aug 2021
Connections between Numerical Algorithms for PDEs and Neural Networks Tobias Alt Karl Schrader M. Augustin Pascal Peter Joachim Weickert PINN 13 21 0 30 Jul 2021
Closed-form Continuous-time Neural Models Ramin Hasani Mathias Lechner Alexander Amini Lucas Liebenwein Aaron Ray Max Tschaikowski G. Teschl Daniela Rus PINN AI4TS 23 82 0 25 Jun 2021
Latent Space Data Assimilation by using Deep Learning Mathis Peyron Anthony Fillion S. Gürol Victor Marchais Serge Gratton Pierre Boudier G. Goret AI4CE 11 44 0 01 Apr 2021
Constrained Block Nonlinear Neural Dynamical Models Elliott Skomski Soumya Vasisht Colby Wight Aaron Tuor Ján Drgoňa D. Vrabie AI4CE 24 15 0 06 Jan 2021
Dissipative Deep Neural Dynamical Systems Ján Drgoňa Soumya Vasisht Aaron Tuor D. Vrabie 19 6 0 26 Nov 2020
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics Ján Drgoňa Aaron Tuor V. Chandan D. Vrabie AI4CE 11 115 0 11 Nov 2020
A Principle of Least Action for the Training of Neural Networks Skander Karkar Ibrahhim Ayed Emmanuel de Bézenac Patrick Gallinari AI4CE 6 10 0 17 Sep 2020
Continuous-in-Depth Neural Networks A. Queiruga N. Benjamin Erichson D. Taylor Michael W. Mahoney 13 45 0 05 Aug 2020
ResNet After All? Neural ODEs and Their Numerical Solution Katharina Ott P. Katiyar Philipp Hennig Michael Tiemann 23 29 0 30 Jul 2020
Lipschitz Recurrent Neural Networks N. Benjamin Erichson Omri Azencot A. Queiruga Liam Hodgkinson Michael W. Mahoney 19 107 0 22 Jun 2020
Constrained Neural Ordinary Differential Equations with Stability Guarantees Aaron Tuor Ján Drgoňa D. Vrabie 6 24 0 22 Apr 2020
Deep connections between learning from limited labels & physical parameter estimation -- inspiration for regularization B. Peters AI4CE 9 0 0 17 Mar 2020
Dissecting Neural ODEs Stefano Massaroli Michael Poli Jinkyoo Park Atsushi Yamashita Hajime Asama 8 198 0 19 Feb 2020
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families Yibo Yang Jianlong Wu Hongyang Li Xia Li Tiancheng Shen Zhouchen Lin OOD 6 21 0 23 Nov 2019
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks Jonathan Ephrath Moshe Eliasof Lars Ruthotto E. Haber Eran Treister 29 16 0 29 Oct 2019
Towards Robust and Stable Deep Learning Algorithms for Forward Backward Stochastic Differential Equations Batuhan Güler Alexis Laignelet P. Parpas OOD 13 16 0 25 Oct 2019
Robust learning with implicit residual networks Viktor Reshniak Clayton Webster OOD 22 22 0 24 May 2019