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Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE

Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE

3 June 2020
Juntang Zhuang
Nicha Dvornek
Xiaoxiao Li
S. Tatikonda
X. Papademetris
James Duncan
    BDL
ArXivPDFHTML

Papers citing "Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE"

28 / 28 papers shown
Title
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
Gaozheng Pei
Ke Ma
Yingfei Sun
Qianqian Xu
Q. Huang
DiffM
42
0
0
02 May 2025
SIGMA: Single Interpolated Generative Model for Anomalies
SIGMA: Single Interpolated Generative Model for Anomalies
Ranit Das
David Shih
DiffM
35
2
0
27 Oct 2024
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
Xin Li
Jingdong Zhang
Qunxi Zhu
Chengli Zhao
Xue Zhang
Xiaojun Duan
Wei Lin
55
3
0
19 May 2024
Deep Continuous Networks
Deep Continuous Networks
Nergis Tomen
S. Pintea
J. C. V. Gemert
94
14
0
02 Feb 2024
Enhancing Low-Order Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier--Stokes Equations
Enhancing Low-Order Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier--Stokes Equations
Shinhoo Kang
Emil M. Constantinescu
AI4CE
22
0
0
29 Oct 2023
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature
Alexander Norcliffe
M. Deisenroth
23
3
0
21 Aug 2023
Addressing Discontinuous Root-Finding for Subsequent Differentiability
  in Machine Learning, Inverse Problems, and Control
Addressing Discontinuous Root-Finding for Subsequent Differentiability in Machine Learning, Inverse Problems, and Control
Dan Johnson
Ronald Fedkiw
AI4CE
31
2
0
21 Jun 2023
Generalized Neural Closure Models with Interpretability
Generalized Neural Closure Models with Interpretability
Abhinava Gupta
Pierre FJ Lermusiaux
AI4CE
24
9
0
15 Jan 2023
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms
Jiechao Zhang
Hadi Beik-Mohammadi
Leonel Rozo
25
15
0
06 Nov 2022
Neural ODEs as Feedback Policies for Nonlinear Optimal Control
Neural ODEs as Feedback Policies for Nonlinear Optimal Control
I. O. Sandoval
Panagiotis Petsagkourakis
Ehecatl Antonio del Rio Chanona
25
9
0
20 Oct 2022
Homotopy-based training of NeuralODEs for accurate dynamics discovery
Homotopy-based training of NeuralODEs for accurate dynamics discovery
Joon-Hyuk Ko
Hankyul Koh
Nojun Park
W. Jhe
46
8
0
04 Oct 2022
Do Residual Neural Networks discretize Neural Ordinary Differential
  Equations?
Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
Michael E. Sander
Pierre Ablin
Gabriel Peyré
35
25
0
29 May 2022
Control-oriented meta-learning
Control-oriented meta-learning
Spencer M. Richards
Navid Azizan
Jean-Jacques E. Slotine
Marco Pavone
32
24
0
14 Apr 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal
  Optimization adjoint with Moving Speed
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed
Shian Du
Yihong Luo
Wei Chen
Jian Xu
Delu Zeng
29
7
0
19 Mar 2022
Bi-Directional Recurrent Neural Ordinary Differential Equations for
  Social Media Text Classification
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification
Maunika Tamire
Srinivas Anumasa
P. K. Srijith
GNN
AI4TS
18
2
0
23 Dec 2021
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
Climate Modeling with Neural Diffusion Equations
Climate Modeling with Neural Diffusion Equations
JeeHyun Hwang
Jeongwhan Choi
Hwan-Kyu Choi
Kookjin Lee
Dongeun Lee
Noseong Park
DiffM
29
22
0
11 Nov 2021
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
Weitao Du
He Zhang
Yuanqi Du
Qi Meng
Wei Chen
Bin Shao
Tie-Yan Liu
56
79
0
26 Oct 2021
Neural Flows: Efficient Alternative to Neural ODEs
Neural Flows: Efficient Alternative to Neural ODEs
Marin Bilovs
Johanna Sommer
Syama Sundar Rangapuram
Tim Januschowski
Stephan Günnemann
AI4TS
21
70
0
25 Oct 2021
Attentive Neural Controlled Differential Equations for Time-series
  Classification and Forecasting
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting
Sheo Yon Jhin
H. Shin
Seoyoung Hong
Solhee Park
Noseong Park
AI4TS
27
22
0
04 Sep 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
Variational multiple shooting for Bayesian ODEs with Gaussian processes
Variational multiple shooting for Bayesian ODEs with Gaussian processes
Pashupati Hegde
Çağatay Yıldız
Harri Lähdesmäki
Samuel Kaski
Markus Heinonen
24
16
0
21 Jun 2021
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
Multi-scale Neural ODEs for 3D Medical Image Registration
Multi-scale Neural ODEs for 3D Medical Image Registration
Junshen Xu
Eric Z. Chen
Xiao Chen
Terrence Chen
Shanhui Sun
MedIm
18
23
0
16 Jun 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
Spencer M. Richards
Navid Azizan
Jean-Jacques E. Slotine
Marco Pavone
37
70
0
07 Mar 2021
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal
  Memory
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
Takashi Matsubara
Yuto Miyatake
Takaharu Yaguchi
20
23
0
19 Feb 2021
MALI: A memory efficient and reverse accurate integrator for Neural ODEs
MALI: A memory efficient and reverse accurate integrator for Neural ODEs
Juntang Zhuang
Nicha Dvornek
S. Tatikonda
James S. Duncan
24
49
0
09 Feb 2021
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms
Patrick Kidger
Ricky T. Q. Chen
Terry Lyons
24
39
0
20 Sep 2020
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