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Towards Understanding Normalization in Neural ODEs

Towards Understanding Normalization in Neural ODEs

20 April 2020
Julia Gusak
L. Markeeva
Talgat Daulbaev
A. Katrutsa
A. Cichocki
Ivan V. Oseledets
ArXivPDFHTML

Papers citing "Towards Understanding Normalization in Neural ODEs"

4 / 4 papers shown
Title
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
Mining Causality from Continuous-time Dynamics Models: An Application to
  Tsunami Forecasting
Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting
Fan Wu
Sanghyun Hong
Dobsub Rim
Noseong Park
Kookjin Lee
AI4TS
31
1
0
10 Oct 2022
Stateful ODE-Nets using Basis Function Expansions
Stateful ODE-Nets using Basis Function Expansions
A. Queiruga
N. Benjamin Erichson
Liam Hodgkinson
Michael W. Mahoney
27
16
0
21 Jun 2021
Momentum Residual Neural Networks
Momentum Residual Neural Networks
Michael E. Sander
Pierre Ablin
Mathieu Blondel
Gabriel Peyré
24
56
0
15 Feb 2021
1