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ANODEV2: A Coupled Neural ODE Evolution Framework

ANODEV2: A Coupled Neural ODE Evolution Framework

10 June 2019
Tianjun Zhang
Z. Yao
A. Gholami
Kurt Keutzer
Joseph E. Gonzalez
George Biros
Michael W. Mahoney
ArXivPDFHTML

Papers citing "ANODEV2: A Coupled Neural ODE Evolution Framework"

11 / 11 papers shown
Title
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
Anh Tong
Thanh Nguyen-Tang
Dongeun Lee
Duc Nguyen
Toan M. Tran
David Hall
Cheongwoong Kang
Jaesik Choi
35
0
0
03 Mar 2025
Parameter-varying neural ordinary differential equations with
  partition-of-unity networks
Parameter-varying neural ordinary differential equations with partition-of-unity networks
Kookjin Lee
N. Trask
22
2
0
01 Oct 2022
Learning differentiable solvers for systems with hard constraints
Learning differentiable solvers for systems with hard constraints
Geoffrey Negiar
Michael W. Mahoney
Aditi S. Krishnapriyan
31
28
0
18 Jul 2022
Bounded nonlinear forecasts of partially observed geophysical systems
  with physics-constrained deep learning
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning
Said Ouala
Steven L. Brunton
A. Pascual
Bertrand Chapron
F. Collard
L. Gaultier
Ronan Fablet
PINN
AI4TS
AI4CE
18
10
0
11 Feb 2022
Characteristic Neural Ordinary Differential Equations
Characteristic Neural Ordinary Differential Equations
Xingzi Xu
Ali Hasan
Khalil Elkhalil
Jie Ding
Vahid Tarokh
BDL
29
3
0
25 Nov 2021
Machine learning structure preserving brackets for forecasting
  irreversible processes
Machine learning structure preserving brackets for forecasting irreversible processes
Kookjin Lee
Nathaniel Trask
P. Stinis
AI4CE
44
42
0
23 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
Infinitely Deep Bayesian Neural Networks with Stochastic Differential
  Equations
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations
Winnie Xu
Ricky T. Q. Chen
Xuechen Li
David Duvenaud
BDL
UQCV
27
46
0
12 Feb 2021
On Second Order Behaviour in Augmented Neural ODEs
On Second Order Behaviour in Augmented Neural ODEs
Alexander Norcliffe
Cristian Bodnar
Ben Day
Nikola Simidjievski
Pietro Lió
33
90
0
12 Jun 2020
ODE-based Deep Network for MRI Reconstruction
ODE-based Deep Network for MRI Reconstruction
A. Yazdanpanah
O. Afacan
Simon K. Warfield
OOD
12
3
0
27 Dec 2019
Convolution by Evolution: Differentiable Pattern Producing Networks
Convolution by Evolution: Differentiable Pattern Producing Networks
Chrisantha Fernando
Dylan Banarse
Malcolm Reynolds
F. Besse
David Pfau
Max Jaderberg
Marc Lanctot
Daan Wierstra
191
102
0
08 Jun 2016
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