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Dissecting Neural ODEs
v1v2v3v4 (latest)

Dissecting Neural ODEs

Neural Information Processing Systems (NeurIPS), 2020
19 February 2020
Stefano Massaroli
Michael Poli
Jinkyoo Park
Atsushi Yamashita
Hajime Asama
ArXiv (abs)PDFHTML

Papers citing "Dissecting Neural ODEs"

50 / 142 papers shown
AdS/Deep-Learning made easy II: neural network-based approaches to holography and inverse problems
AdS/Deep-Learning made easy II: neural network-based approaches to holography and inverse problems
Hyun-Sik Jeong
Hanse Kim
Keun-Young Kim
Gaya Yun
Hyeonwoo Yu
Kwan Yun
PINNAI4CE
216
2
0
27 Nov 2025
Dynamical Implicit Neural Representations
Dynamical Implicit Neural Representations
Yesom Park
Kelvin Kan
Thomas Flynn
Yi Huang
Shinjae Yoo
Stanley Osher
Xihaier Luo
AI4CE
70
0
0
26 Nov 2025
Mixed Precision Training of Neural ODEs
Mixed Precision Training of Neural ODEs
E. Celledoni
B. Owren
Lars Ruthotto
Tianjiao Nicole Yang
130
1
0
27 Oct 2025
EARS-UDE: Evaluating Auditory Response in Sensory Overload with Universal Differential Equations
EARS-UDE: Evaluating Auditory Response in Sensory Overload with Universal Differential Equations
Miheer Salunke
Prathamesh Dinesh Joshi
Raj Abhijit Dandekar
Rajat Dandekar
Sreedath Panat
91
0
0
16 Oct 2025
Deep Neural Networks Inspired by Differential Equations
Deep Neural Networks Inspired by Differential Equations
Y. Liu
Lianfang Wang
Kuilin Qin
Qinghua Zhang
Faqiang Wang
Li-min Cui
Jun Liu
Yuping Duan
T. Zeng
AI4TSAI4CE
220
0
0
09 Oct 2025
On the Convergence and Size Transferability of Continuous-depth Graph Neural Networks
On the Convergence and Size Transferability of Continuous-depth Graph Neural Networks
Mingsong Yan
Charles Kulick
Sui Tang
192
1
0
04 Oct 2025
Neural non-canonical Hamiltonian dynamics for long-time simulations
Neural non-canonical Hamiltonian dynamics for long-time simulations
Clémentine Courtès
Emmanuel Franck
Michael Kraus
Laurent Navoret
Léopold Trémant
192
0
0
02 Oct 2025
Disentangling Slow and Fast Temporal Dynamics in Degradation Inference with Hierarchical Differential Models
Disentangling Slow and Fast Temporal Dynamics in Degradation Inference with Hierarchical Differential Models
Mengjie Zhao
Olga Fink
AI4CE
187
0
0
30 Aug 2025
Generalization Bound for a General Class of Neural Ordinary Differential Equations
Generalization Bound for a General Class of Neural Ordinary Differential Equations
Madhusudan Verma
Manoj Kumar
AI4CE
112
0
0
26 Aug 2025
Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements
Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements
Haoran Li
Muhao Guo
Yang Weng
Hanghang Tong
AI4TSAI4CE
157
2
0
03 Aug 2025
Weight-Parameterization in Continuous Time Deep Neural Networks for Surrogate Modeling
Weight-Parameterization in Continuous Time Deep Neural Networks for Surrogate Modeling
Haley Rosso
Lars Ruthotto
Khachik Sargsyan
OODAI4TS
217
0
0
29 Jul 2025
Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers
Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers
Yukun Zhang
Xueqing Zhou
AI4TS
187
1
0
27 May 2025
SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation
SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation
Wenqing Peng
Zhi-Song Liu
Michael Boy
391
0
0
08 May 2025
Deep Sturm--Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
Deep Sturm--Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
David Vigouroux
Joseba Dalmau
Louis Bethune
Victor Boutin
194
0
0
09 Apr 2025
Neural Motion Simulator: Pushing the Limit of World Models in Reinforcement Learning
Neural Motion Simulator: Pushing the Limit of World Models in Reinforcement LearningComputer Vision and Pattern Recognition (CVPR), 2025
Chenjie Hao
Weyl Lu
Yifan Xu
Yubei Chen
220
6
0
09 Apr 2025
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary
  Differential Equations
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential EquationsAAAI Conference on Artificial Intelligence (AAAI), 2024
Yi Zhang
Chun-Wun Cheng
Junyi He
Zhihai He
Carola-Bibiane Schonlieb
Yuyan Chen
Angelica I Aviles-Rivero
AI4TS
347
1
0
20 Dec 2024
Training Stiff Neural Ordinary Differential Equations with Explicit
  Exponential Integration Methods
Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration MethodsChaos (Chaos), 2024
Colby Fronk
Linda R. Petzold
380
6
0
02 Dec 2024
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed
  Convergence
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed ConvergenceNeural Information Processing Systems (NeurIPS), 2024
Wenjie Mei
Dongzhe Zheng
Shihua Li
AI4CE
234
8
0
04 Nov 2024
A comparative study of NeuralODE and Universal ODE approaches to solving
  Chandrasekhar White Dwarf equation
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation
Raymundo Vazquez Martinez
Raj Abhijit Dandekar
Rajat Dandekar
Sreedath Panat
199
2
0
19 Oct 2024
Feedback Favors the Generalization of Neural ODEs
Feedback Favors the Generalization of Neural ODEsInternational Conference on Learning Representations (ICLR), 2024
Jindou Jia
Zihan Yang
Meng Wang
Kexin Guo
Jianfei Yang
Xiang Yu
Lei Guo
OODAI4CE
508
5
0
14 Oct 2024
Modeling chaotic Lorenz ODE System using Scientific Machine Learning
Modeling chaotic Lorenz ODE System using Scientific Machine Learning
Sameera S Kashyap
Raj Abhijit Dandekar
Rajat Dandekar
Sreedath Panat
AI4ClAI4CE
221
2
0
09 Oct 2024
Training Stiff Neural Ordinary Differential Equations with Implicit
  Single-Step Methods
Training Stiff Neural Ordinary Differential Equations with Implicit Single-Step MethodsChaos (Chaos), 2024
Colby Fronk
Linda R. Petzold
253
11
0
08 Oct 2024
Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation
Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation
Roussel Desmond Nzoyem
David A.W. Barton
Tom Deakin
301
4
0
02 Oct 2024
Adaptive Feedforward Gradient Estimation in Neural ODEs
Adaptive Feedforward Gradient Estimation in Neural ODEs
Jaouad Dabounou
160
1
0
22 Sep 2024
A Unified Framework for Neural Computation and Learning Over Time
A Unified Framework for Neural Computation and Learning Over Time
S. Melacci
Alessandro Betti
Michele Casoni
Tommaso Guidi
Matteo Tiezzi
Marco Gori
AI4TS
344
0
0
18 Sep 2024
Neural Network Emulator for Atmospheric Chemical ODE
Neural Network Emulator for Atmospheric Chemical ODENeural Networks (NN), 2024
Zhi-Song Liu
Petri S. Clusius
Michael Boy
474
5
0
03 Aug 2024
Scalable Artificial Intelligence for Science: Perspectives, Methods and
  Exemplars
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars
Wesley Brewer
Aditya Kashi
Sajal Dash
A. Tsaris
Junqi Yin
Mallikarjun Shankar
Feiyi Wang
190
1
0
24 Jun 2024
Continuous Temporal Domain Generalization
Continuous Temporal Domain Generalization
Zekun Cai
Guangji Bai
Renhe Jiang
Xuan Song
Bo Pan
258
13
0
25 May 2024
The Disappearance of Timestep Embedding in Modern Time-Dependent Neural
  Networks
The Disappearance of Timestep Embedding in Modern Time-Dependent Neural Networks
Bum Jun Kim
Yoshinobu Kawahara
Sang Woo Kim
AI4TS
238
3
0
23 May 2024
Switched Flow Matching: Eliminating Singularities via Switching ODEs
Switched Flow Matching: Eliminating Singularities via Switching ODEsInternational Conference on Machine Learning (ICML), 2024
Qunxi Zhu
Wei Lin
326
2
0
19 May 2024
A finite-sample generalization bound for stable LPV systems
A finite-sample generalization bound for stable LPV systems
Daniel Racz
Martin Gonzalez
Mihaly Petreczky
András A. Benczúr
Balint Daroczy
363
0
0
16 May 2024
ClimODE: Climate and Weather Forecasting with Physics-informed Neural
  ODEs
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
Yogesh Verma
Markus Heinonen
Vikas Garg
AI4CE
304
87
0
15 Apr 2024
Mechanistic Design and Scaling of Hybrid Architectures
Mechanistic Design and Scaling of Hybrid Architectures
Michael Poli
Armin W. Thomas
Eric N. D. Nguyen
Pragaash Ponnusamy
Bjorn Deiseroth
...
Brian Hie
Stefano Ermon
Christopher Ré
Ce Zhang
Stefano Massaroli
MoE
322
53
0
26 Mar 2024
Neural Fractional Differential Equations
Neural Fractional Differential Equations
C. Coelho
M. F. P. Costa
L. L. Ferrás
84
7
0
05 Mar 2024
Nature-Inspired Local Propagation
Nature-Inspired Local Propagation
Alessandro Betti
Marco Gori
AI4CE
318
0
0
04 Feb 2024
Deep Continuous Networks
Deep Continuous Networks
Nergis Tomen
S. Pintea
Jan van Gemert
390
15
0
02 Feb 2024
Rademacher Complexity of Neural ODEs via Chen-Fliess Series
Rademacher Complexity of Neural ODEs via Chen-Fliess Series
Joshua Hanson
Maxim Raginsky
313
5
0
30 Jan 2024
Optimal Potential Shaping on SE(3) via Neural ODEs on Lie Groups
Optimal Potential Shaping on SE(3) via Neural ODEs on Lie Groups
Yannik P. Wotte
Federico Califano
Stefano Stramigioli
AI4CE
258
2
0
25 Jan 2024
Interplay between depth and width for interpolation in neural ODEs
Interplay between depth and width for interpolation in neural ODEs
Antonio Álvarez-López
Arselane Hadj Slimane
Enrique Zuazua
394
15
0
18 Jan 2024
Differential Equations for Continuous-Time Deep Learning
Differential Equations for Continuous-Time Deep LearningNotices of the American Mathematical Society (Not. Amer. Math. Soc.), 2024
Lars Ruthotto
AI4TSAI4CESyDaBDL
182
11
0
08 Jan 2024
On Tuning Neural ODE for Stability, Consistency and Faster Convergence
On Tuning Neural ODE for Stability, Consistency and Faster ConvergenceSN Computer Science (SCS), 2023
Sheikh Waqas Akhtar
ODL
238
2
0
04 Dec 2023
Stability-Informed Initialization of Neural Ordinary Differential
  Equations
Stability-Informed Initialization of Neural Ordinary Differential EquationsInternational Conference on Machine Learning (ICML), 2023
Theodor Westny
Arman Mohammadi
Daniel Jung
Erik Frisk
454
4
0
27 Nov 2023
KirchhoffNet: A Scalable Ultra Fast Analog Neural Network
KirchhoffNet: A Scalable Ultra Fast Analog Neural NetworkInternational Conference on Computer Aided Design (ICCAD), 2023
Zhengqi Gao
Fan-Keng Sun
Ron Rohrer
Duane S. Boning
371
1
0
24 Oct 2023
Implicit regularization of deep residual networks towards neural ODEs
Implicit regularization of deep residual networks towards neural ODEsInternational Conference on Learning Representations (ICLR), 2023
Pierre Marion
Yu-Han Wu
Michael E. Sander
Gérard Biau
475
21
0
03 Sep 2023
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature
Alexander Norcliffe
M. Deisenroth
190
6
0
21 Aug 2023
PAC bounds of continuous Linear Parameter-Varying systems related to
  neural ODEs
PAC bounds of continuous Linear Parameter-Varying systems related to neural ODEs
Dániel Rácz
Mihaly Petreczky
Bálint Daróczy
181
0
0
07 Jul 2023
Latent SDEs on Homogeneous Spaces
Latent SDEs on Homogeneous SpacesNeural Information Processing Systems (NeurIPS), 2023
Sebastian Zeng
Florian Graf
Roland Kwitt
BDL
389
13
0
28 Jun 2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical
  Systems
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical SystemsKnowledge Discovery and Data Mining (KDD), 2023
Song Jiang
Zijie Huang
Xiao Luo
Luke Huan
CML
254
25
0
20 Jun 2023
Enhanced Distribution Modelling via Augmented Architectures For Neural
  ODE Flows
Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows
Etrit Haxholli
Marco Lorenzi
108
0
0
05 Jun 2023
On the Generalization and Approximation Capacities of Neural Controlled
  Differential Equations
On the Generalization and Approximation Capacities of Neural Controlled Differential EquationsInternational Conference on Learning Representations (ICLR), 2023
Linus Bleistein
Agathe Guilloux
533
4
0
26 May 2023
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