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Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 3,190 papers shown

Title
Sensitivity Analysis for Climate Science with Generative Flow Models Alex Dobra Jakiw Pidstrigach Tim Reichelt P. Fraccaro Johannes Jakubik A. Jones Christian Schroeder de Witt Philip Stier Philip Torr 273 0 0 01 Nov 2025
GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow Mengbo Wang Shourya Verma Aditya Malusare Luopin Wang Yiyang Lu Vaneet Aggarwal Mario Sola Ananth Grama Nadia Atallah Lanman MedIm 164 0 0 31 Oct 2025
Likely Interpolants of Generative Models Frederik Möbius Rygaard Shen Zhu Yinzhu Jin Søren Hauberg Tom Fletcher 160 0 0 30 Oct 2025
How Regularization Terms Make Invertible Neural Networks Bayesian Point Estimators Nick Heilenkötter 3DPC 190 0 0 30 Oct 2025
Curly Flow Matching for Learning Non-gradient Field Dynamics Katarina Petrović Lazar Atanackovic Viggo Moro Kacper Kapusniak .Ismail .Ilkan Ceylan M. Bronstein A. Bose Alexander Tong 93 3 0 30 Oct 2025
Automated Discovery of Conservation Laws via Hybrid Neural ODE-Transformers Vivan Doshi 32 0 0 30 Oct 2025
Group-Equivariant Diffusion Models for Lattice Field Theory Octavio Vega J. Komijani Aida El-Khadra M. Marinković DiffM 224 0 0 30 Oct 2025
Bias-Corrected Data Synthesis for Imbalanced Learning Pengfei Lyu Zhengchi Ma Linjun Zhang Anru R. Zhang 153 0 0 30 Oct 2025
Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning Mara Daniels Liam Hodgkinson Michael W. Mahoney PINN AI4CE 231 0 0 30 Oct 2025
Hybrid Physical-Neural Simulator for Fast Cosmological Hydrodynamics Arne Thomsen T. Troster François Lanusse AI4CE 72 0 0 30 Oct 2025
Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions Naoki Kiyohara Edward Johns Yingzhen Li 68 0 0 29 Oct 2025
$$π_\texttt{RL}$: Online RL Fine-tuning for Flow-based Vision-Language-Action Models$ $π_\texttt{RL}$ : Online RL Fine-tuning for Flow-based Vision-Language-Action Models Kang Chen Zhihao Liu T. Zhang Zhen Guo Si Xu ... Guoliang Fan T. Huang Yu Wang Chao Yu Chao Yu OffRL VLM 396 0 0 29 Oct 2025
Bridging Simulators with Conditional Optimal Transport Justine Zeghal B. Remy Yashar Hezaveh F. Lanusse Laurence Perreault Levasseur OT 159 0 0 28 Oct 2025
Sample-efficient and Scalable Exploration in Continuous-Time RL Klemens Iten Lenart Treven Bhavya Sukhija Florian Dorfler Andreas Krause OffRL 104 1 0 28 Oct 2025
Unsupervised Detection of Post-Stroke Brain Abnormalities Youwan Mahé Elise Bannier Stéphanie Leplaideur Elisa Fromont Francesca Galassi 16 0 0 28 Oct 2025
Identifiable learning of dissipative dynamics Aiqing Zhu Beatrice W. Soh Grigorios A. Pavliotis Qianxiao Li PINN AI4CE 258 1 0 28 Oct 2025
ReLaX-Net: Reusing Layers for Parameter-Efficient Physical Neural Networks Kohei Tsuchiyama Andre Roehm Takatomo Mihana R. Horisaki 159 0 0 28 Oct 2025
Mixed Precision Training of Neural ODEs E. Celledoni B. Owren Lars Ruthotto Tianjiao Nicole Yang 64 1 0 27 Oct 2025
Nested AutoRegressive Models Hongyu Wu Xuhui Fan Zhangkai Wu Longbing Cao DiffM 99 0 0 27 Oct 2025
Dynamic Graph Neural Network for Data-Driven Physiologically Based Pharmacokinetic Modeling Su Liu Xin Hu Shurong Wen Jiaqi Liu Jiexi Xu Lanruo Wang 102 0 0 25 Oct 2025
Stable neural networks and connections to continuous dynamical systems Matthias Joachim Ehrhardt Davide Murari Ferdia Sherry AAML 52 0 0 25 Oct 2025
Multimodal Datasets with Controllable Mutual Information Raheem Karim Hashmani G. W. Merz Helen Qu Mariel Pettee K. Cranmer 112 0 0 24 Oct 2025
Target-aware Image Editing via Cycle-consistent Constraints Yanghao Wang Zhen Wang Long Chen 108 0 0 23 Oct 2025
EditInfinity: Image Editing with Binary-Quantized Generative Models Jiahuan Wang Yuxin Chen Jun Yu Guangming Lu Wenjie Pei 146 1 0 23 Oct 2025
Towards Interpretable Deep Learning and Analysis of Dynamical Systems via the Discrete Empirical Interpolation Method Hojin Kim R. Maulik 52 0 0 22 Oct 2025
LyTimeT: Towards Robust and Interpretable State-Variable Discovery Kuai Yu Crystal Su Xiang Liu Judah Goldfeder Mingyuan Shao Hod Lipson 56 0 0 22 Oct 2025
A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation Jiacheng Liu Xinyu Wang Yuqi Lin Zhikai Wang P. Wang ... Zexuan Yan Zhengyi Shi Chang Zou Yue Ma Linfeng Zhang 247 2 0 22 Oct 2025
Speculative Sampling for Parametric Temporal Point Processes Marin Bilos Anderson Schneider Yuriy Nevmyvaka AI4TS 77 0 0 22 Oct 2025
On Biologically Plausible Learning in Continuous Time Marc Gong Bacvanski Liu Ziyin T. Poggio CLL 111 0 0 21 Oct 2025
Temporally Detailed Hypergraph Neural ODEs for Type 2 Diabetes Progression Modeling Tingsong Xiao Y. Lee Zelin Xu Yupu Zhang Zibo Liu Yu-Hao Huang Jiang Bian S. Guo Zhe Jiang 84 0 0 20 Oct 2025
Fine-tuning Flow Matching Generative Models with Intermediate Feedback Jiajun Fan Chaoran Cheng Shuaike Shen Xiangxin Zhou Ge Liu EGVM 132 1 0 20 Oct 2025
Sparse Transformer Architectures via Regularized Wasserstein Proximal Operator with $L_1$ Prior Fuqun Han Stanley Osher Wuchen Li 44 0 0 18 Oct 2025
Simulation-free Structure Learning for Stochastic Dynamics Noah El Rimawi-Fine Adam Stecklov Lucas Nelson Mathieu Blanchette Alexander Tong Stephen Y. Zhang Lazar Atanackovic AI4CE 104 0 0 18 Oct 2025
RGMem: Renormalization Group-based Memory Evolution for Language Agent User Profile Ao Tian Yunfeng Lu Xinxin Fan Changhao Wang Lanzhi Zhou Yeyao Zhang Yanfang Liu 68 0 0 18 Oct 2025
Revealing Low-Dimensional Structure in 2D Richtmyer-Meshkov Instabilities via Parametric Reduced-Order Modeling Daniel Messenger Daniel A. Serino Balu Nadiga Marc L. Klasky 93 0 0 17 Oct 2025
Deep Neural ODE Operator Networks for PDEs Ziqian Li Kang Liu Yongcun Song Hangrui Yue Enrique Zuazua AI4CE 113 0 0 17 Oct 2025
Protein Folding with Neural Ordinary Differential Equations Arielle Sanford Shuo Sun Christian B. Mendl 44 0 0 17 Oct 2025
Iterative Refinement of Flow Policies in Probability Space for Online Reinforcement Learning Mingyang Sun Pengxiang Ding Weinan Zhang Donglin Wang 151 0 0 17 Oct 2025
Still Competitive: Revisiting Recurrent Models for Irregular Time Series Prediction Ankitkumar Joshi Milos Hauskrecht AI4TS 72 0 0 17 Oct 2025
AlignFlow: Improving Flow-based Generative Models with Semi-Discrete Optimal Transport Lingkai Kong Molei Tao Yang Liu Bryan Wang Jinmiao Fu Chien Wang Huidong Liu OT 207 0 0 16 Oct 2025
LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching Zhuo Cao Xuan Zhao Lena Krieger Hanno Scharr Ira Assent OOD 225 0 0 16 Oct 2025
EARS-UDE: Evaluating Auditory Response in Sensory Overload with Universal Differential Equations Miheer Salunke Prathamesh Dinesh Joshi Raj Abhijit Dandekar Rajat Dandekar Sreedath Panat 53 0 0 16 Oct 2025
Convergence, design and training of continuous-time dropout as a random batch method Antonio Álvarez-López Martín Hernández 56 0 0 15 Oct 2025
Efficient Inference for Coupled Hidden Markov Models in Continuous Time and Discrete Space Giosue Migliorini Padhraic Smyth 72 0 0 14 Oct 2025
E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization Wenpu Li Bangyan Liao Yi Zhou Qi Xu Pian Wan Peidong Liu MDE 260 0 0 14 Oct 2025
Emergence of Internal State-Modulated Swarming in Multi-Agent Patch Foraging System Siddharth Chaturvedi Ahmed El-Gazzar Marcel van Gerven 20 0 0 14 Oct 2025
Unconditional Human Motion and Shape Generation via Balanced Score-Based Diffusion David Björkstrand Tiesheng Wang Lars Bretzner Josephine Sullivan DiffM VGen 84 0 0 14 Oct 2025
Analyzing Data Quality and Decay in Mega-Constellations: A Physics-Informed Machine Learning Approach Katarina Dyreby Francisco M. Caldas Cláudia Soares 73 0 0 13 Oct 2025
Dimension-Free Minimax Rates for Learning Pairwise Interactions in Attention-Style Models Shai Zucker Xiong Wang Fei Lu Inbar Seroussi 96 0 0 13 Oct 2025
Y-shaped Generative Flows Arip Asadulaev Semyon Semenov Abduragim Shtanchaev Eric Moulines Fakhri Karray Martin Takáč 88 0 0 13 Oct 2025