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Review: Ordinary Differential Equations For Deep Learning

Review: Ordinary Differential Equations For Deep Learning

Xinshi Chen
ArXiv (abs)PDFHTML

Papers citing "Review: Ordinary Differential Equations For Deep Learning"

4 / 4 papers shown
Title
Zero Stability Well Predicts Performance of Convolutional Neural Networks
Zero Stability Well Predicts Performance of Convolutional Neural Networks
Liangming Chen
Long Jin
Mingsheng Shang
MLT
82
8
0
27 Jun 2022
Learning Deep Input-Output Stable Dynamics
Learning Deep Input-Output Stable Dynamics
Yuji Okamoto
Ryosuke Kojima
OOD
74
5
0
27 Jun 2022
On the balance between the training time and interpretability of neural ODE for time series modelling
On the balance between the training time and interpretability of neural ODE for time series modelling
Yakov Golovanev
A. Hvatov
AI4TS
61
2
0
07 Jun 2022
Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning
Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning
A. Ivanov
Anna Golovkina
U. Iben
PINN
57
8
0
19 Dec 2019

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