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Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 3,217 papers shown

Title
Epi $^2$ -Net: Advancing Epidemic Dynamics Forecasting with Physics-Inspired Neural Networks Rui Sun Chenghua Gong Tianjun Gu Yuhao Zheng Jie Ding Juyuan Zhang Liming Pan Linyuan Lü AI4CE 64 1 0 04 Aug 2025
How Diffusion Prior Landscapes Shape the Posterior in Blind Deconvolution Minh-Hai Nguyen Edouard Pauwels Pierre Weiss DiffM 103 1 0 04 Aug 2025
REFLECT: Rectified Flows for Efficient Brain Anomaly Correction TransportInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025 Farzad Beizaee Sina Hajimiri Ismail Ben Ayed Gregory A. Lodygensky Christian Desrosiers Jose Dolz MedIm 124 1 0 04 Aug 2025
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 AI4TS AI4CE 129 1 0 03 Aug 2025
VFP: Variational Flow-Matching Policy for Multi-Modal Robot Manipulation Xuanran Zhai Ce Hao Qiaojun Yu Ce Hao 136 2 0 03 Aug 2025
CTBench: Cryptocurrency Time Series Generation Benchmark Yihao Ang Qiang Wang Qiang Huang Yifan Bao Xinyu Xi A. Tung Chen Jin Zhiyong Huang AI4TS 126 2 0 03 Aug 2025
Unified Generation-Refinement Planning: Bridging Guided Flow Matching and Sampling-Based MPC for Social Navigation Kazuki Mizuta Karen Leung 181 0 0 02 Aug 2025
The Vanishing Gradient Problem for Stiff Neural Differential Equations Colby Fronk Linda R. Petzold 146 1 0 02 Aug 2025
TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction Sihang Zeng Lucas Jing Liu Jun Wen Meliha Yetisgen Ruth Etzioni Gang Luo 110 0 0 01 Aug 2025
Flow Matching for Probabilistic Learning of Dynamical Systems from Missing or Noisy Data Siddharth Rout Eldad Haber Stéphane Gaudreault AI4CE 92 0 0 01 Aug 2025
Image-Guided Shape-from-Template Using Mesh Inextensibility Constraints Thuy Tran Ruochen Chen Shaifali Parashar 72 0 0 30 Jul 2025
Weighted Conditional Flow Matching Sergio Calvo-Ordoñez Matthieu Meunier Alvaro Cartea C. Reisinger Yarin Gal Jose Miguel Hernandez-Lobato 202 1 0 29 Jul 2025
Numerical PDE solvers outperform neural PDE solvers Patrick Chatain Michael Rizvi-Martel Guillaume Rabusseau Adam Oberman AI4CE 125 1 0 28 Jul 2025
Why Flow Matching is Particle Swarm Optimization? Kaichen Ouyang 68 0 0 28 Jul 2025
Learning Simulatable Models of Cloth with Spatially-varying Constitutive Properties Guanxiong Chen Shashwat Suri Yuhao Wu Etienne Voulga David I.W. Levin Dinesh Pai AI4CE 177 1 0 28 Jul 2025
MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging through Symmetrical Flow Matching Francisco Caetano Lemar Abdi Christiaan Viviers Amaan Valiuddin Fons van der Sommen MedIm 118 0 0 25 Jul 2025
Physics-Informed Regression: Parameter Estimation in Parameter-Linear Nonlinear Dynamic Models Jonas Søeborg Nielsen Marcus Galea Jacobsen Albert Brincker Olson Mads Peter Sørensen Allan Peter Engsig-Karup PINN 122 0 0 25 Jul 2025
Neural Ordinary Differential Equations for Learning and Extrapolating System Dynamics Across Bifurcations Eva van Tegelen George van Voorn Ioannis Athanasiadis Peter van Heijster 153 0 0 25 Jul 2025
Flow Stochastic Segmentation Networks Fabio De Sousa Ribeiro Omar Todd Charles Jones Avinash Kori Raghav Mehta Ben Glocker 217 0 0 24 Jul 2025
Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks Harry Holt Sebastien Origer Dario Izzo 196 0 0 22 Jul 2025
Higher Gauge Flow Models Alexander Strunk Roland Assam AI4CE 206 0 0 22 Jul 2025
An Adaptive Random Fourier Features approach Applied to Learning Stochastic Differential Equations Owen Douglas Aku Kammonen Anamika Pandey Raúl Tempone DiffM 77 0 0 21 Jul 2025
GeoHNNs: Geometric Hamiltonian Neural Networks Amine Mohamed Aboussalah Abdessalam Ed-dib DRL PINN AI4CE 150 1 0 21 Jul 2025
Blending data and physics for reduced-order modeling of systems with spatiotemporal chaotic dynamics Alex Guo Michael D. Graham AI4CE 150 0 0 21 Jul 2025
Physics-Informed Learning of Proprietary Inverter Models for Grid Dynamic Studies Kyung-Bin Kwon Sayak Mukherjee Ramij-Raja Hossain Marcelo Elizondo 84 1 0 21 Jul 2025
Dynamics is what you need for time-series forecasting! Alexis-Raja Brachet Pierre-Yves Richard Céline Hudelot AI4TS AI4CE 65 0 0 21 Jul 2025
Learning Stochastic Hamiltonian Systems via Stochastic Generating Function Neural Network Chen Chen Lijin Wang Yanzhao Cao Xupeng Cheng 137 0 0 19 Jul 2025
Gauge Flow Models Alexander Strunk Roland Assam AI4CE 92 2 0 17 Jul 2025
Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis Bo-Hua Liang He Wang 253 2 0 15 Jul 2025
Flows and Diffusions on the Neural Manifold Daniel Saragih Deyu Cao Tejas Balaji DiffM AI4CE 234 1 0 14 Jul 2025
Flow matching for reaction pathway generation Ping Tuo Jiale Chen Ju Li 229 0 0 14 Jul 2025
Simulation as Supervision: Mechanistic Pretraining for Scientific Discovery Carson Dudley Reiden Magdaleno Christopher Harding Marisa Eisenberg SyDa AI4CE 168 3 0 11 Jul 2025
Beyond the ATE: Interpretable Modelling of Treatment Effects over Dose and Time Julianna Piskorz Krzysztof Kacprzyk Harry Amad Mihaela van der Schaar CML 151 0 0 09 Jul 2025
Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching Huibo Xu Runlong Yu Likang Wu Xianquan Wang Qi Liu AI4TS 254 1 0 09 Jul 2025
When do World Models Successfully Learn Dynamical Systems? Edmund Ross Claudia Drygala Leonhard Schwarz Samir Kaiser F. Mare Tobias Breiten Hanno Gottschalk AI4CE 99 0 0 07 Jul 2025
Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models Gaurav Srivastava Aafiya Hussain Sriram Srinivasan Xuan Wang LRM 156 0 0 05 Jul 2025
Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics Fang Sun Zijie Huang Haixin Wang Yadi Cao Xiao Luo Wei Wang Tony Nowatzki AI4CE 363 2 0 01 Jul 2025
BoltzNCE: Learning Likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation Rishal Aggarwal Jacky Chen Nicholas M. Boffi David Ryan Koes 229 2 0 01 Jul 2025
Towards foundational LiDAR world models with efficient latent flow matching Tianran Liu Shengwen Zhao Nicholas Rhinehart 201 3 0 30 Jun 2025
Flow-Modulated Scoring for Semantic-Aware Knowledge Graph Completion Siyuan Li Ruitong Liu Yan Wen Te Sun Andi Zhang Yanbiao Ma Xiaoshuai Hao 233 0 0 29 Jun 2025
Adjoint Schrödinger Bridge Sampler Guan-Horng Liu Jaemoo Choi Yongxin Chen Benjamin Kurt Miller Ricky T. Q. Chen DiffM 190 5 0 27 Jun 2025
Unfolding Generative Flows with Koopman Operators: Fast and Interpretable Sampling Erkan Turan Aristotelis Siozopoulos Louis Martinez Julien Gaubil E. Pierson M. Ovsjanikov 160 1 0 27 Jun 2025
ODE $_t$ (ODE $_l$ ): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling Denis A. Gudovskiy Wenzhao Zheng Tomoyuki Okuno Yohei Nakata Kurt Keutzer 206 0 0 26 Jun 2025
Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning Torben Berndt Benjamin Walker Tiexin Qin Jan Stühmer Andrey Kormilitzin 220 1 0 25 Jun 2025
IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech Siyi Zhou Yiquan Zhou Yi He Xun Zhou Jinchao Wang Wei Deng Jingchen Shu DiffM 179 17 0 23 Jun 2025
Structured Kolmogorov-Arnold Neural ODEs for Interpretable Learning and Symbolic Discovery of Nonlinear Dynamics Wei Liu Kiran Bacsa Loon Ching Tang Eleni Chatzi 222 1 0 23 Jun 2025
Controlled Generation with Equivariant Variational Flow Matching Floor Eijkelboom Heiko Zimmermann Sharvaree P. Vadgama Erik J. Bekkers Max Welling C. A. Naesseth Jan-Willem van de Meent BDL 313 4 0 23 Jun 2025
Reversing Flow for Image RestorationComputer Vision and Pattern Recognition (CVPR), 2025 Haina Qin Wenyang Luo L. xilinx Wang Dandan Zheng Jingdong Chen Ming Yang Bing Li Weiming Hu 258 2 0 20 Jun 2025
Mesh-Informed Neural Operator : A Transformer Generative Approach Yaozhong Shi Zachary E. Ross D. Asimaki Kamyar Azizzadenesheli AI4CE 429 3 0 20 Jun 2025
Investigating Lagrangian Neural Networks for Infinite Horizon Planning in Quadrupedal Locomotion Ganga Nair B Aditya Shirwatkar Shishir Kolathaya 150 1 0 19 Jun 2025