Approximation Capabilities of Neural ODEs and Invertible Residual
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Approximation Capabilities of Neural ODEs and Invertible Residual Networks

30 July 2019

Papers citing "Approximation Capabilities of Neural ODEs and Invertible Residual Networks"

18 / 18 papers shown

Title
When are dynamical systems learned from time series data statistically accurate? Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 36 4 0 09 Nov 2024
Feedback Favors the Generalization of Neural ODEs Jindou Jia Zihan Yang Meng Wang Kexin Guo Jianfei Yang Xiang Yu Lei Guo OOD AI4CE 43 2 0 14 Oct 2024
On the Generalization and Approximation Capacities of Neural Controlled Differential Equations Linus Bleistein Agathe Guilloux 40 1 0 26 May 2023
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? Bing-Quan Liu Wei Luo Gang Li Jing Huang Boxiong Yang AI4CE 20 5 0 20 May 2023
Universal Approximation Property of Hamiltonian Deep Neural Networks M. Zakwan M. d’Angelo Giancarlo Ferrari-Trecate 36 5 0 21 Mar 2023
Selected aspects of complex, hypercomplex and fuzzy neural networks A. Niemczynowicz R. Kycia Maciej Jaworski A. Siemaszko J. Calabuig ... Baruch Schneider Diana Berseghyan Irina Perfiljeva V. Novák Piotr Artiemjew 24 0 0 29 Dec 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows Felix Dräxler Christoph Schnörr Ullrich Kothe 36 7 0 25 Oct 2022
Dynamical systems' based neural networks E. Celledoni Davide Murari B. Owren Carola-Bibiane Schönlieb Ferdia Sherry OOD 43 10 0 05 Oct 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations Nabeel Seedat F. Imrie Alexis Bellot Zhaozhi Qian M. Schaar OOD CML 31 52 0 16 Jun 2022
Characteristic Neural Ordinary Differential Equations Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 29 3 0 25 Nov 2021
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 18 70 0 25 Oct 2021
Approximation capabilities of measure-preserving neural networks Aiqing Zhu Pengzhan Jin Yifa Tang 21 8 0 21 Jun 2021
A Deep Learning approach to Reduced Order Modelling of Parameter Dependent Partial Differential Equations N. R. Franco Andrea Manzoni P. Zunino 26 45 0 10 Mar 2021
Momentum Residual Neural Networks Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 24 56 0 15 Feb 2021
Jacobian Determinant of Normalizing Flows Huadong Liao Jiawei He DRL 13 7 0 12 Feb 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
STEER: Simple Temporal Regularization For Neural ODEs Arna Ghosh Harkirat Singh Behl Emilien Dupont Philip H. S. Torr Vinay P. Namboodiri BDL AI4TS 27 74 0 18 Jun 2020
Deep Learning via Dynamical Systems: An Approximation Perspective Qianxiao Li Ting Lin Zuowei Shen AI4TS AI4CE 16 107 0 22 Dec 2019