Dynamical systems' based neural networks

Dynamical systems' based neural networks

5 October 2022

Carola-Bibiane Schönlieb

Papers citing "Dynamical systems' based neural networks"

8 / 8 papers shown

Title
Universal Approximation Property of Hamiltonian Deep Neural Networks M. Zakwan M. d’Angelo Giancarlo Ferrari-Trecate 26 5 0 21 Mar 2023
Learning Hamiltonians of constrained mechanical systems E. Celledoni A. Leone Davide Murari B. Owren AI4CE 34 17 0 31 Jan 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,100 0 27 Apr 2021
Differentiable Implicit Layers Andreas Look Simona Doneva M. Kandemir Rainer Gemulla Jan Peters 17 9 0 14 Oct 2020
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 139 219 0 29 Sep 2019
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks Lechao Xiao Yasaman Bahri Jascha Narain Sohl-Dickstein S. Schoenholz Jeffrey Pennington 220 348 0 14 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,230 0 24 Nov 2016
Optimization on Submanifolds of Convolution Kernels in CNNs Mete Ozay Takayuki Okatani 43 46 0 22 Oct 2016