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Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs

11 March 2020
Talgat Daulbaev
A. Katrutsa
L. Markeeva
Julia Gusak
A. Cichocki
Ivan Oseledets
ArXivPDFHTML

Papers citing "Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs"

5 / 5 papers shown
Title
Augmented Neural ODEs
Augmented Neural ODEs
Emilien Dupont
Arnaud Doucet
Yee Whye Teh
BDL
101
622
0
02 Apr 2019
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural
  ODEs
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
A. Gholami
Kurt Keutzer
George Biros
76
167
0
27 Feb 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative
  Models
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
Will Grathwohl
Ricky T. Q. Chen
J. Bettencourt
Ilya Sutskever
David Duvenaud
DRL
89
861
0
02 Oct 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
276
5,024
0
19 Jun 2018
Deep Neural Networks Motivated by Partial Differential Equations
Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto
E. Haber
AI4CE
79
488
0
12 Apr 2018
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