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ResNet After All? Neural ODEs and Their Numerical Solution

ResNet After All? Neural ODEs and Their Numerical Solution

30 July 2020
Katharina Ott
P. Katiyar
Philipp Hennig
Michael Tiemann
ArXivPDFHTML

Papers citing "ResNet After All? Neural ODEs and Their Numerical Solution"

13 / 13 papers shown
Title
Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold
  learning via well-posed generative flows
Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows
Hyemin Gu
M. Katsoulakis
Luc Rey-Bellet
Benjamin J. Zhang
45
2
0
16 Jul 2024
Time-vectorized numerical integration for systems of ODEs
Time-vectorized numerical integration for systems of ODEs
Mark C. Messner
Tianchen Hu
Tianju Chen
AI4TS
26
1
0
12 Oct 2023
Exact Inference for Continuous-Time Gaussian Process Dynamics
Exact Inference for Continuous-Time Gaussian Process Dynamics
K. Ensinger
Nicholas Tagliapietra
Sebastian Ziesche
Sebastian Trimpe
26
1
0
05 Sep 2023
Continuous time recurrent neural networks: overview and application to
  forecasting blood glucose in the intensive care unit
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit
O. Fitzgerald
O. Perez-Concha
B. Gallego-Luxan
Alejandro Metke-Jimenez
Lachlan Rudd
Louisa R Jorm
BDL
OOD
AI4TS
33
0
0
14 Apr 2023
Asymptotic Analysis of Deep Residual Networks
Asymptotic Analysis of Deep Residual Networks
R. Cont
Alain Rossier
Renyuan Xu
27
4
0
15 Dec 2022
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially
  Observed Time Series
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series
Futoon M. Abushaqra
Hao Xue
Yongli Ren
Flora D. Salim
AI4TS
26
2
0
07 Dec 2022
torchode: A Parallel ODE Solver for PyTorch
torchode: A Parallel ODE Solver for PyTorch
Marten Lienen
Stephan Günnemann
LRM
19
11
0
22 Oct 2022
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening
Martin Gonzalez
H. Hajri
Loic Cantat
M. Petreczky
31
1
0
16 Jun 2022
Learning continuous models for continuous physics
Learning continuous models for continuous physics
Aditi S. Krishnapriyan
A. Queiruga
N. Benjamin Erichson
Michael W. Mahoney
AI4CE
24
33
0
17 Feb 2022
Scaling Properties of Deep Residual Networks
Scaling Properties of Deep Residual Networks
A. Cohen
R. Cont
Alain Rossier
Renyuan Xu
22
18
0
25 May 2021
Stable Neural Flows
Stable Neural Flows
Stefano Massaroli
Michael Poli
Michelangelo Bin
Jinkyoo Park
Atsushi Yamashita
Hajime Asama
46
30
0
18 Mar 2020
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
130
424
0
10 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
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