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Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 3,217 papers shown

Title
AD-NODE: Adaptive Dynamics Learning with Neural ODEs for Mobile Robots Control Shao-Yi Yu Jen-Wei Wang Maya Horii Vikas Garg Tarek Zohdi 100 0 0 06 Oct 2025
Physics-Informed Machine Learning in Biomedical Science and Engineering Nazanin Ahmadi Qianying Cao J. Humphrey George Karniadakis PINN AI4CE 158 1 0 06 Oct 2025
A Mathematical Explanation of Transformers for Large Language Models and GPTs X. Tai Hao Liu Lingfeng Li Raymond H. F. Chan AI4CE 142 1 0 05 Oct 2025
Efficient Manifold-Constrained Neural ODE for High-Dimensional Datasets Muhao Guo Haoran Li Yang Weng 124 1 0 05 Oct 2025
Modeling Time Series Dynamics with Fourier Ordinary Differential Equations Muhao Guo Yang Weng AI4TS 108 0 0 05 Oct 2025
Wave-PDE Nets: Trainable Wave-Equation Layers as an Alternative to Attention Harshil Vejendla 68 0 0 05 Oct 2025
On the Convergence and Size Transferability of Continuous-depth Graph Neural Networks Mingsong Yan Charles Kulick Sui Tang 160 0 0 04 Oct 2025
Proximal Diffusion Neural Sampler Wei Guo Jaemoo Choi Y. Zhu Molei Tao Yongxin Chen DiffM 154 4 0 04 Oct 2025
Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning Haoran Li Chenhan Xiao Muhao Guo Yang Weng 120 1 0 04 Oct 2025
Learning Explicit Single-Cell Dynamics Using ODE Representations Jan-Philipp von Bassewitz Adeel Pervez Marco Fumero Matthew Robinson Theofanis Karaletsos Francesco Locatello PINN AI4CE 196 1 0 03 Oct 2025
ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data Santanu Rathod Francesco Ceccarelli S. Holden Pietro Lio Xiao Zhang Jovan Tanevski 92 0 0 03 Oct 2025
Longitudinal Flow Matching for Trajectory Modeling Mohammad Mohaiminul Islam T. Kuipers Sharvaree P. Vadgama Coen de Vente Afsana Khan Clara I. Sánchez Erik Bekkers 172 0 0 03 Oct 2025
Deep Generative Continual Learning using Functional LoRA: FunLoRA Victor Enescu Hichem Sahbi 216 0 0 03 Oct 2025
Mathematical Modeling and Convergence Analysis of Deep Neural Networks with Dense Layer Connectivities in Deep Learning Jinshu Huang Haibin Su Xue-Cheng Tai Chunlin Wu AI4CE 93 0 0 02 Oct 2025
Adaptive Heterogeneous Mixtures of Normalising Flows for Robust Variational Inference Benjamin Wiriyapong Oktay Karakuş Kirill Sidorov BDL 132 0 0 02 Oct 2025
Neural non-canonical Hamiltonian dynamics for long-time simulations Clémentine Courtès Emmanuel Franck Michael Kraus Laurent Navoret Léopold Trémant 136 0 0 02 Oct 2025
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive Tyler Farghly Peter Potaptchik Samuel Howard George Deligiannidis Jakiw Pidstrigach DiffM 195 2 0 02 Oct 2025
Fine-Tuning Flow Matching via Maximum Likelihood Estimation of Reconstructions Zhaoyi Li Jingtao Ding Yong Li Shihua Li 192 0 0 02 Oct 2025
Dynamical system reconstruction from partial observations using stochastic dynamics Viktor Sip Martin Breyton S. Petkoski Viktor Jirsa 120 0 0 01 Oct 2025
Riemannian Consistency Model Chaoran Cheng Yusong Wang Yuxin Chen Xiangxin Zhou Nanning Zheng Ge Liu 217 0 0 01 Oct 2025
Physics-Informed Neural Controlled Differential Equations for Scalable Long Horizon Multi-Agent Motion Forecasting Shounak Sural Charles Kekeh Wenliang Liu Federico Pecora Mouhacine Benosman AI4CE 155 0 0 01 Oct 2025
Hyperparameters are all you need: Using five-step inference for an original diffusion model to generate images comparable to the latest distillation model Zilai Li VLM 196 0 0 30 Sep 2025
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies Jing Wang Weiting Peng Jing Tang Zeyu Gong Xihua Wang B. Tao Li Cheng 240 0 0 30 Sep 2025
Differentiable Autoencoding Neural Operator for Interpretable and Integrable Latent Space Modeling Siva Viknesh Amirhossein Arzani AI4CE 90 1 0 30 Sep 2025
Reweighted Flow Matching via Unbalanced OT for Label-free Long-tailed Generation Hyunsoo Song Minjung Gim Jaewoong Choi OT 189 0 0 30 Sep 2025
Learning to Solve Optimization Problems Constrained with Partial Differential Equations Yusuf Guven Vincenzo Di Vito Ferdinando Fioretto AI4CE 59 0 0 29 Sep 2025
SoC-DT: Standard-of-Care Aligned Digital Twins for Patient-Specific Tumor Dynamics Moinak Bhattacharya Gagandeep Singh Prateek Prasanna 128 0 0 29 Sep 2025
A study of Universal ODE approaches to predicting soil organic carbon Satyanarayana Raju G.V.V Prathamesh Dinesh Joshi Raj Abhijit Dandekar Rajat Dandekar Sreedath Panat AI4CE 100 0 0 29 Sep 2025
Flow Matching with Semidiscrete Couplings Alireza Mousavi-Hosseini Stephen Zhang Michal Klein Marco Cuturi OT 276 3 0 29 Sep 2025
Scalable Boltzmann Generators for equilibrium sampling of large-scale materials Maximilian Schebek Frank Noé Jutta Rogal 162 3 0 29 Sep 2025
Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models Shuchen Xue Chongjian Ge Shilong Zhang Yichen Li Zhi-Ming Ma 131 2 0 29 Sep 2025
In-Context Learning of Temporal Point Processes with Foundation Inference Models David Berghaus Patrick Seifner K. Cvejoski C. Ojeda Ramses J. Sanchez AI4TS 104 3 0 29 Sep 2025
Semantic Editing with Coupled Stochastic Differential Equations Jianxin Zhang Clayton Scott DiffM 53 0 0 29 Sep 2025
A multiscale analysis of mean-field transformers in the moderate interaction regime Giuseppe Bruno Federico Pasqualotto Andrea Agazzi 136 6 0 29 Sep 2025
Let Physics Guide Your Protein Flows: Topology-aware Unfolding and Generation Yogesh Verma Markus Heinonen Vikas Garg DiffM AI4CE 404 0 0 29 Sep 2025
Anatomy-DT: A Cross-Diffusion Digital Twin for Anatomical Evolution Moinak Bhattacharya Gagandeep Singh Prateek Prasanna MedIm AI4CE 133 0 0 29 Sep 2025
VNODE: A Piecewise Continuous Volterra Neural Network Siddharth Roheda Aniruddha Bala Rohit Chowdhury Rohan Jaiswal 140 0 0 29 Sep 2025
MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models Kacper Kapusniak Cristian Gabellini Michael Bronstein Prudencio Tossou Francesco Di Giovanni 96 0 0 29 Sep 2025
StrucADT: Generating Structure-controlled 3D Point Clouds with Adjacency Diffusion TransformerIEEE Transactions on Visualization and Computer Graphics (TVCG), 2025 Zhenyu Shu Jiajun Shen Zhongui Chen Xiaoguang Han Shiqing Xin DiffM 100 0 0 28 Sep 2025
Dynamics of Learning: Generative Schedules from Latent ODEs Matt L. Sampson Peter Melchior 99 0 0 27 Sep 2025
PDE-Transformer: A Continuous Dynamical Systems Approach to Sequence Modeling Yukun Zhang Xueqing Zhou AI4CE 155 0 0 27 Sep 2025
A Neural ODE Approach to Aircraft Flight Dynamics Modelling Gabriel Jarry Ramon Dalmau Xavier Olive Philippe Very AI4CE 57 1 0 27 Sep 2025
MeanFlowSE: One-Step Generative Speech Enhancement via MeanFlow Yike Zhu Boyi Kang Ziqian Wang Xingchen Li Zihan Zhang W. Li Longshuai Xiao Wei Xue Lei Xie DiffM 163 1 0 27 Sep 2025
Physically Plausible Multi-System Trajectory Generation and Symmetry Discovery Jiayin Liu Yulong Yang Vineet Bansal Christine Allen-Blanchette 111 0 0 26 Sep 2025
IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method Xinyu Liu Bei Li Jiahao Liu Junhao Ruan Kechen Jiao Hongyin Tang Jingang Wang Xiao Tong Jingbo Zhu 170 0 0 26 Sep 2025
Error Analysis of Discrete Flow with Generator Matching Zhengyan Wan Yidong Ouyang Qiang Yao Liyan Xie Fang Fang Hongyuan Zha Guang Cheng 105 1 0 26 Sep 2025
MORPH: PDE Foundation Models with Arbitrary Data Modality Mahindra Singh Rautela Alexander Buschmann Most Siddharth Mansingh Bradley Love Ayan Biswas Diane Oyen Earl Lawrence AI4TS AI4CE 258 0 0 25 Sep 2025
NewtonGen: Physics-Consistent and Controllable Text-to-Video Generation via Neural Newtonian Dynamics Yu Yuan Xijun Wang Tharindu Wickremasinghe Zeeshan Nadir Bole Ma Stanley H. Chan DiffM VGen PINN 1.4K 8 0 25 Sep 2025
A Causality-Aware Spatiotemporal Model for Multi-Region and Multi-Pollutant Air Quality Forecasting Junxin Lu Shiliang Sun 60 0 0 25 Sep 2025
Staying on the Manifold: Geometry-Aware Noise Injection Albert Kjøller Jacobsen Johanna Marie Gegenfurtner Georgios Arvanitidis AAML 91 0 0 24 Sep 2025