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Neural Ordinary Differential Equations
v1v2v3v4v5 (latest)

Neural Ordinary Differential Equations

19 June 2018
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Neural Ordinary Differential Equations"

50 / 3,210 papers shown
Title
Stable CDE Autoencoders with Acuity Regularization for Offline Reinforcement Learning in Sepsis Treatment
Stable CDE Autoencoders with Acuity Regularization for Offline Reinforcement Learning in Sepsis Treatment
Yue Gao
OffRLOODAI4TS
101
0
0
17 Jun 2025
Bures-Wasserstein Flow Matching for Graph Generation
Bures-Wasserstein Flow Matching for Graph Generation
Keyue Jiang
Jiahao Cui
Xiaowen Dong
Laura Toni
279
2
0
16 Jun 2025
Flow-Based Policy for Online Reinforcement Learning
Flow-Based Policy for Online Reinforcement Learning
Lei Lv
Y. Li
Yu-Juan Luo
F. Sun
Tao Kong
Jiafeng Xu
Xiao Ma
296
7
0
15 Jun 2025
Quantum-Inspired Differentiable Integral Neural Networks (QIDINNs): A Feynman-Based Architecture for Continuous Learning Over Streaming Data
Quantum-Inspired Differentiable Integral Neural Networks (QIDINNs): A Feynman-Based Architecture for Continuous Learning Over Streaming Data
Oscar Boullosa Dapena
175
0
0
13 Jun 2025
RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer
RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer
Haotian Ni
Yake Wei
Hang Liu
Gong Chen
Chong Peng
Hao Lin
Di Hu
OffRL
258
1
0
13 Jun 2025
History-Aware Neural Operator: Robust Data-Driven Constitutive Modeling of Path-Dependent Materials
History-Aware Neural Operator: Robust Data-Driven Constitutive Modeling of Path-Dependent Materials
Binyao Guo
Zihan Lin
QiZhi He
AI4CE
315
1
0
12 Jun 2025
Efficiency Robustness of Dynamic Deep Learning Systems
Efficiency Robustness of Dynamic Deep Learning Systems
Ravishka Rathnasuriya
Tingxi Li
Zexin Xu
Zihe Song
Mirazul Haque
Simin Chen
Wei Yang
AAMLSILM
307
1
0
12 Jun 2025
Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models
Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models
Francisco Caetano
Christiaan Viviers
Peter H. N. de With
Fons van der Sommen
DiffM
323
1
0
12 Jun 2025
Identifiability Challenges in Sparse Linear Ordinary Differential Equations
Identifiability Challenges in Sparse Linear Ordinary Differential Equations
Cecilia Casolo
Soren Becker
Niki Kilbertus
253
2
0
11 Jun 2025
Neural Functions for Learning Periodic Signal
Neural Functions for Learning Periodic SignalInternational Conference on Learning Representations (ICLR), 2025
Woojin Cho
Minju Jo
Kookjin Lee
Noseong Park
229
1
0
11 Jun 2025
DEKC: Data-Enable Control for Tethered Space Robot Deployment in the Presence of Uncertainty via Koopman Operator Theory
Ao Jin
Qinyi Wang
Sijie Wen
Ya Liu
Ganghui Shen
Panfeng Huang
Fan Zhang
121
0
0
10 Jun 2025
G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
Samuel Holt
Max Ruiz Luyten
Antonin Berthon
M. Schaar
191
3
0
10 Jun 2025
A Survey of Physics-Informed AI for Complex Urban Systems
A Survey of Physics-Informed AI for Complex Urban Systems
En Xu
Huandong Wang
Yunke Zhang
Sibo Li
Yinzhou Tang
...
Yuming Lin
Yuan Yuan
Xiaochen Fan
Jingtao Ding
Yong Li
AI4CE
162
1
0
09 Jun 2025
Fully data-driven inverse hyperelasticity with hyper-network neural ODE fields
Vahidullah Tac
Amirhossein Amiri-Hezaveh
Manuel K Rausch
Grace N. Bechtel
F. Sahli Costabal
A. B. Tepole
AI4CE
123
0
0
09 Jun 2025
MIRA: Medical Time Series Foundation Model for Real-World Health Data
MIRA: Medical Time Series Foundation Model for Real-World Health Data
Hao Li
Bowen Deng
Chang Xu
Zhiyuan Feng
Viktor Schlegel
...
Yizheng Sun
Jingyuan Sun
Kailai Yang
Yiyao Yu
Jiang Bian
AI4TSOODAI4CE
301
2
0
09 Jun 2025
The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning
The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning
Toby Boyne
Juan S. Campos
Becky D Langdon
Jixiang Qing
Yilin Xie
...
Kim E. Jelfs
Sarah Boyall
Thomas M. Dixon
Linden Schrecker
Jose Pablo Folch
159
2
0
09 Jun 2025
GGBall: Graph Generative Model on Poincaré Ball
GGBall: Graph Generative Model on Poincaré Ball
Tianci Bu
Chuanrui Wang
Hao Ma
Haoren Zheng
Xin Lu
Tailin Wu
218
0
0
08 Jun 2025
Transient Dynamics in Lattices of Differentiating Ring Oscillators
Transient Dynamics in Lattices of Differentiating Ring Oscillators
Peter DelMastro
Arjun Karuvally
Hananel Hazan
H. Siegelmann
E. Rietman
177
1
0
08 Jun 2025
Transformative or Conservative? Conservation laws for ResNets and Transformers
Transformative or Conservative? Conservation laws for ResNets and Transformers
Sibylle Marcotte
Rémi Gribonval
Gabriel Peyré
216
3
0
06 Jun 2025
FuseUNet: A Multi-Scale Feature Fusion Method for U-like Networks
FuseUNet: A Multi-Scale Feature Fusion Method for U-like Networks
Quansong He
Xiangde Min
Kaishen Wang
Tao He
211
1
0
06 Jun 2025
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
Tobias Würth
Niklas Freymuth
Gerhard Neumann
Luise Kärger
DiffMAI4CE
323
2
0
06 Jun 2025
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Jiatao Gu
Tianrong Chen
David Berthelot
Huangjie Zheng
Yuyang Wang
Ruixiang Zhang
Laurent Dinh
Miguel Angel Bautista
Josh Susskind
Shuangfei Zhai
219
13
0
06 Jun 2025
Exponential Family Variational Flow Matching for Tabular Data Generation
Exponential Family Variational Flow Matching for Tabular Data Generation
Andrés Guzmán-Cordero
Floor Eijkelboom
Jan-Willem van de Meent
264
5
0
06 Jun 2025
RNE: plug-and-play diffusion inference-time control and energy-based training
RNE: plug-and-play diffusion inference-time control and energy-based training
Jiajun He
Jose Miguel Hernandez-Lobato
Yuanqi Du
Francisco Vargas
430
4
0
06 Jun 2025
Progressive Tempering Sampler with Diffusion
Progressive Tempering Sampler with Diffusion
Severi Rissanen
RuiKang OuYang
Jiajun He
Wenlin Chen
Markus Heinonen
Arno Solin
José Miguel Hernández-Lobato
DiffM
286
5
0
05 Jun 2025
On Fitting Flow Models with Large Sinkhorn Couplings
On Fitting Flow Models with Large Sinkhorn Couplings
Stephen Zhang
Alireza Mousavi-Hosseini
Stephen Zhang
Marco Cuturi
286
5
0
05 Jun 2025
Feature-Based Lie Group Transformer for Real-World Applications
Feature-Based Lie Group Transformer for Real-World Applications
Takayuki Komatsu
Yoshiyuki Ohmura
Kayato Nishitsunoi
Yasuo Kuniyoshi
ViT
244
0
0
05 Jun 2025
Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
Yuanpei Gao
Qi Yan
Yan Leng
Renjie Liao
AI4TS
215
0
0
05 Jun 2025
Learning long range dependencies through time reversal symmetry breaking
Guillaume Pourcel
Maxence Ernoult
331
3
0
05 Jun 2025
Contrastive Flow Matching
George Stoica
Vivek Ramanujan
Xiang Fan
Ali Farhadi
Ranjay Krishna
Judy Hoffman
276
9
0
05 Jun 2025
Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints
Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints
Utkarsh Utkarsh
Pengfei Cai
Alan Edelman
Rafael Gomez-Bombarelli
Christopher Rackauckas
AI4CE
266
10
0
04 Jun 2025
Learning Optical Flow Field via Neural Ordinary Differential Equation
Learning Optical Flow Field via Neural Ordinary Differential Equation
Leyla Mirvakhabova
H. Cai
Jisoo Jeong
Hanno Ackermann
F. G. Zanjani
Fatih Porikli
165
0
0
03 Jun 2025
Multiple-Frequencies Population-Based Training
Multiple-Frequencies Population-Based Training
Waël Doulazmi
Auguste Lehuger
Marin Toromanoff
Valentin Charraut
Thibault Buhet
Fabien Moutarde
149
2
0
03 Jun 2025
FDSG: Forecasting Dynamic Scene Graphs
FDSG: Forecasting Dynamic Scene Graphs
Yi Yang
Yuren Cong
Hao Cheng
Bodo Rosenhahn
Michael Ying Yang
AI4TS
231
0
0
02 Jun 2025
Latent Stochastic Interpolants
Latent Stochastic Interpolants
Saurabh Singh
Dmitry Lagun
DiffMBDL
183
1
0
02 Jun 2025
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
Yinghui Liu
Hao Miao
Guojiang Shen
Yan Zhao
Xiangjie Kong
Ivan Lee
320
0
0
02 Jun 2025
Weight-Space Linear Recurrent Neural Networks
Weight-Space Linear Recurrent Neural Networks
Roussel Desmond Nzoyem
Nawid Keshtmand
Enrique Crespo Fernandez
Idriss Tsayem
Raúl Santos-Rodríguez
David A.W. Barton
Tom Deakin
316
0
0
01 Jun 2025
Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators
Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators
Danyal Rehman
Oscar Davis
Jiarui Lu
Jian Tang
M. Bronstein
Yoshua Bengio
Alexander Tong
A. Bose
OOD
195
0
0
01 Jun 2025
CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching
CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching
Leying Zhang
Y. Qian
Xiaofei Wang
Manthan Thakker
Dongmei Wang
...
Haibin Wu
Yuxuan Hu
Jinyu Li
Yanmin Qian
Sheng Zhao
246
4
0
01 Jun 2025
Rhythm Controllable and Efficient Zero-Shot Voice Conversion via Shortcut Flow Matching
Rhythm Controllable and Efficient Zero-Shot Voice Conversion via Shortcut Flow MatchingAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Jialong Zuo
Shengpeng Ji
Minghui Fang
Mingze Li
Ziyue Jiang
Xize Cheng
Xiaoda Yang
Chen Feiyang
Xinyu Duan
Zhou Zhao
196
0
0
01 Jun 2025
Deformable registration and generative modelling of aortic anatomies by auto-decoders and neural ODEs
Deformable registration and generative modelling of aortic anatomies by auto-decoders and neural ODEs
Riccardo Tenderini
Luca Pegolotti
Fanwei Kong
S. Pagani
Francesco Regazzoni
Alison L. Marsden
S. Deparis
MedImAI4CE
164
0
0
01 Jun 2025
A condensing approach to multiple shooting neural ordinary differential equation
A condensing approach to multiple shooting neural ordinary differential equation
Siddharth Prabhu
Srinivas Rangarajan
Mayuresh Kothare
77
0
0
31 May 2025
HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs
HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Qing Li
Fauzan Farooqui
Zongxiong Chen
Derui Zhu
Yuxia Wang
Congbo Ma
Chenyang Lyu
Fakhri Karray
226
2
0
30 May 2025
TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching
TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching
Shengyuan Liu
Wenting Chen
Boyun Zheng
W. Pan
Xiang Li
Yixuan Yuan
MedIm
85
0
0
30 May 2025
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows
Eshant English
Yingzhen Li
186
1
0
29 May 2025
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
Juwei Yue
Haikuo Li
Jiawei Sheng
Xiaodong Li
Taoyu Su
Tingwen Liu
Li Guo
193
1
0
29 May 2025
Efficiently Access Diffusion Fisher: Within the Outer Product Span Space
Efficiently Access Diffusion Fisher: Within the Outer Product Span Space
Fangyikang Wang
Hubery Yin
Shaobin Zhuang
Huminhao Zhu
Yinan Li
Lei Qian
Chao Zhang
Hanbin Zhao
Hui Qian
Chen Li
178
1
0
29 May 2025
Navigating the Latent Space Dynamics of Neural Models
Navigating the Latent Space Dynamics of Neural Models
Marco Fumero
Luca Moschella
Emanuele Rodolà
Francesco Locatello
317
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A comprehensive analysis of PINNs: Variants, Applications, and Challenges
A comprehensive analysis of PINNs: Variants, Applications, and Challenges
Afila Ajithkumar Sophiya
Akarsh K Nair
S. Maleki
S. Krishnababu
PINNAI4CE
119
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ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
Tonghe Zhang
Chao Yu
Sichang Su
Yu Wang
449
9
0
28 May 2025
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