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1806.07366
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Neural Ordinary Differential Equations

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Neural Ordinary Differential Equations

19 June 2018

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Papers citing "Neural Ordinary Differential Equations"

50 / 3,218 papers shown

Towards Interpretable Deep Learning and Analysis of Dynamical Systems via the Discrete Empirical Interpolation Method

Towards Interpretable Deep Learning and Analysis of Dynamical Systems via the Discrete Empirical Interpolation Method

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0

22 Oct 2025

LyTimeT: Towards Robust and Interpretable State-Variable Discovery

LyTimeT: Towards Robust and Interpretable State-Variable Discovery

Judah Goldfeder

75

0

0

22 Oct 2025

A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation

A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation

...

378

3

0

22 Oct 2025

On Biologically Plausible Learning in Continuous Time

On Biologically Plausible Learning in Continuous Time

Marc Gong Bacvanski

155

0

0

21 Oct 2025

Temporally Detailed Hypergraph Neural ODEs for Type 2 Diabetes Progression Modeling

Temporally Detailed Hypergraph Neural ODEs for Type 2 Diabetes Progression Modeling

100

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0

20 Oct 2025

Fine-tuning Flow Matching Generative Models with Intermediate Feedback

Fine-tuning Flow Matching Generative Models with Intermediate Feedback

161

1

0

20 Oct 2025

RGMem: Renormalization Group-based Memory Evolution for Language Agent User Profile

124

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0

18 Oct 2025

Sparse Transformer Architectures via Regularized Wasserstein Proximal Operator with $L_1$ Prior

Sparse Transformer Architectures via Regularized Wasserstein Proximal Operator with

L_1

77

0

0

18 Oct 2025

Simulation-free Structure Learning for Stochastic Dynamics

Simulation-free Structure Learning for Stochastic Dynamics

Noah El Rimawi-Fine

Mathieu Blanchette

Stephen Y. Zhang

Lazar Atanackovic

157

0

0

18 Oct 2025

Protein Folding with Neural Ordinary Differential Equations

Protein Folding with Neural Ordinary Differential Equations

Arielle Sanford

Christian B. Mendl

72

0

0

17 Oct 2025

Deep Neural ODE Operator Networks for PDEs

Deep Neural ODE Operator Networks for PDEs

153

0

0

17 Oct 2025

Iterative Refinement of Flow Policies in Probability Space for Online Reinforcement Learning

Iterative Refinement of Flow Policies in Probability Space for Online Reinforcement Learning

183

0

0

17 Oct 2025

Revealing Low-Dimensional Structure in 2D Richtmyer-Meshkov Instabilities via Parametric Reduced-Order Modeling

Revealing Low-Dimensional Structure in 2D Richtmyer-Meshkov Instabilities via Parametric Reduced-Order Modeling

Daniel Messenger

Daniel A. Serino

133

0

0

17 Oct 2025

Still Competitive: Revisiting Recurrent Models for Irregular Time Series Prediction

Still Competitive: Revisiting Recurrent Models for Irregular Time Series Prediction

Ankitkumar Joshi

Milos Hauskrecht

117

0

0

17 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

Prathamesh Dinesh Joshi

Raj Abhijit Dandekar

74

0

0

16 Oct 2025

AlignFlow: Improving Flow-based Generative Models with Semi-Discrete Optimal Transport

AlignFlow: Improving Flow-based Generative Models with Semi-Discrete Optimal Transport

262

0

0

16 Oct 2025

LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching

LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching

275

0

0

16 Oct 2025

Convergence, design and training of continuous-time dropout as a random batch method

Convergence, design and training of continuous-time dropout as a random batch method

Antonio Álvarez-López

Martín Hernández

99

0

0

15 Oct 2025

Emergence of Internal State-Modulated Swarming in Multi-Agent Patch Foraging System

Emergence of Internal State-Modulated Swarming in Multi-Agent Patch Foraging System

Siddharth Chaturvedi

Ahmed El-Gazzar

Marcel van Gerven

33

0

0

14 Oct 2025

Efficient Inference for Coupled Hidden Markov Models in Continuous Time and Discrete Space

Efficient Inference for Coupled Hidden Markov Models in Continuous Time and Discrete Space

Giosue Migliorini

106

0

0

14 Oct 2025

E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization

E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization

317

0

0

14 Oct 2025

Unconditional Human Motion and Shape Generation via Balanced Score-Based Diffusion

Unconditional Human Motion and Shape Generation via Balanced Score-Based Diffusion

David Björkstrand

Josephine Sullivan

128

0

0

14 Oct 2025

Analyzing Data Quality and Decay in Mega-Constellations: A Physics-Informed Machine Learning Approach

Analyzing Data Quality and Decay in Mega-Constellations: A Physics-Informed Machine Learning Approach

Katarina Dyreby

Francisco M. Caldas

Cláudia Soares

81

0

0

13 Oct 2025

Y-shaped Generative Flows

Y-shaped Generative Flows

Abduragim Shtanchaev

104

0

0

13 Oct 2025

Dimension-Free Minimax Rates for Learning Pairwise Interactions in Attention-Style Models

Dimension-Free Minimax Rates for Learning Pairwise Interactions in Attention-Style Models

150

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0

13 Oct 2025

Rough Path Signatures: Learning Neural RDEs for Portfolio Optimization

Rough Path Signatures: Learning Neural RDEs for Portfolio Optimization

Ali Atiah Alzahrani

210

0

0

12 Oct 2025

Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models

Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models

113

0

0

11 Oct 2025

A Unified Framework for Lifted Training and Inversion Approaches

A Unified Framework for Lifted Training and Inversion Approaches

Alexandra Valavanis

124

0

0

10 Oct 2025

Neural Codecs as Biosignal Tokenizers

Neural Codecs as Biosignal Tokenizers

Kleanthis Avramidis

Richard M. Leahy

Shrikanth Narayanan

108

0

0

10 Oct 2025

Residual-Informed Learning of Solutions to Algebraic Loops

Residual-Informed Learning of Solutions to Algebraic Loops

Andreas Heuermann

Philip Hannebohm

Bernhard Bachmann

90

0

0

10 Oct 2025

FLOWING: Implicit Neural Flows for Structure-Preserving Morphing

FLOWING: Implicit Neural Flows for Structure-Preserving Morphing

Matias Grynberg

João Paulo Lima

Nuno Gonçalves

João M. Pereira

Guilherme Gonçalves Schardong

213

2

0

10 Oct 2025

Physics-Informed High-order Graph Dynamics Identification Learning for Predicting Complex Networks Long-term Dynamics

Physics-Informed High-order Graph Dynamics Identification Learning for Predicting Complex Networks Long-term Dynamics

120

0

0

10 Oct 2025

Conditional Flow Matching for Bayesian Posterior Inference

Conditional Flow Matching for Bayesian Posterior Inference

Veronika Ročová

159

0

0

10 Oct 2025

Kelp: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection

Kelp: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection

177

0

0

09 Oct 2025

Deep Neural Networks Inspired by Differential Equations

Deep Neural Networks Inspired by Differential Equations

207

0

0

09 Oct 2025

DM1: MeanFlow with Dispersive Regularization for 1-Step Robotic Manipulation

DM1: MeanFlow with Dispersive Regularization for 1-Step Robotic Manipulation

108

2

0

09 Oct 2025

Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries

Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries

305

0

0

09 Oct 2025

Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models

Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models

Vojtěch Havlíček

Anirban Chowdhury

Kirill Neklyudov

168

0

0

09 Oct 2025

Operator Learning for Power Systems Simulation

Operator Learning for Power Systems Simulation

Matthew Schlegel

Matthew E. Taylor

Mostafa Farrokhabadi

92

0

0

09 Oct 2025

Counterfactual Identifiability via Dynamic Optimal Transport

Counterfactual Identifiability via Dynamic Optimal Transport

Fabio De Sousa Ribeiro

Ainkaran Santhirasekaram

351

0

0

09 Oct 2025

Automated Machine Learning for Unsupervised Tabular Tasks

Automated Machine Learning for Unsupervised Tabular Tasks

Pieter Gijsbers

Elif Ceren Gok Yildirim

Murat Onur Yildirim

Joaquin Vanschoren

134

0

0

08 Oct 2025

Toward Reliable Clinical Coding with Language Models: Verification and Lightweight Adaptation

Toward Reliable Clinical Coding with Language Models: Verification and Lightweight Adaptation

Chaitanya P. Shivade

126

0

0

08 Oct 2025

Carré du champ flow matching: better quality-generalisation tradeoff in generative models

Carré du champ flow matching: better quality-generalisation tradeoff in generative models

Jacob Bamberger

Michael M. Bronstein

P. Vandergheynst

161

2

0

07 Oct 2025

Lagrangian neural ODEs: Measuring the existence of a Lagrangian with Helmholtz metrics

Lagrangian neural ODEs: Measuring the existence of a Lagrangian with Helmholtz metrics

Bjoern Malte Schaefer

133

0

0

07 Oct 2025

Stable Robot Motions on Manifolds: Learning Lyapunov-Constrained Neural Manifold ODEs

Stable Robot Motions on Manifolds: Learning Lyapunov-Constrained Neural Manifold ODEs

Abdelrahman Abdelnaby

Fares J. Abu-Dakka

93

0

0

07 Oct 2025

Efficient Conditional Generation on Scale-based Visual Autoregressive Models

Efficient Conditional Generation on Scale-based Visual Autoregressive Models

198

0

0

07 Oct 2025

Thermodynamic Performance Limits for Score-Based Diffusion Models

Thermodynamic Performance Limits for Score-Based Diffusion Models

Nathan X. Kodama

Michael Hinczewski

100

0

0

07 Oct 2025

Fundamental Limits of Crystalline Equivariant Graph Neural Networks: A Circuit Complexity Perspective

Fundamental Limits of Crystalline Equivariant Graph Neural Networks: A Circuit Complexity Perspective

147

1

0

07 Oct 2025

Control of dynamical systems with neural networks

Control of dynamical systems with neural networks

Lucas Böttcher

95

0

0

06 Oct 2025

Stiff Circuit System Modeling via Transformer

Stiff Circuit System Modeling via Transformer

38

0

0

06 Oct 2025

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