Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 846 papers shown

Title
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations Abdolmehdi Behroozi Chaopeng Shen and Daniel Kifer AI4CE 25 0 0 13 May 2025
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era Nima Dehghani AI4CE 29 0 0 12 May 2025
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method Mihyeon Kim Juhyoung Park Youngbin Kim 31 0 0 11 May 2025
SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation Wenqing Peng Zhi-Song Liu Michael Boy 29 0 0 08 May 2025
AI Approaches to Qualitative and Quantitative News Analytics on NATO Unity Bohdan M. Pavlyshenko 21 0 0 08 May 2025
Hamiltonian Normalizing Flows as kinetic PDE solvers: application to the 1D Vlasov-Poisson Equations Vincent Souveton Sébastien Terrana 41 0 0 07 May 2025
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting Y. Wang Xiaofeng Hu Xiaojian Cui Kai Wang AI4TS 26 0 0 07 May 2025
Riemannian Denoising Diffusion Probabilistic Models Z. Liu Wei Zhang Christof Schütte Tiejun Li DiffM 73 0 0 07 May 2025
Real-Time Person Image Synthesis Using a Flow Matching Model Jiwoo Jeong Kirok Kim Wooju Kim Nam-Joon Kim 3DH 66 0 0 06 May 2025
Optimization of Module Transferability in Single Image Super-Resolution: Universality Assessment and Cycle Residual Blocks Haotong Cheng Zhiqi Zhang Hao Li X. Zhang SupR 49 0 0 06 May 2025
Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Linus Langenkamp Philip Hannebohm Bernhard Bachmann 36 0 0 06 May 2025
Ergodic Generative Flows Leo Maxime Brunswic Mateo Clemente Rui Heng Yang Adam Sigal Amir Rasouli Yinchuan Li 42 0 0 06 May 2025
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation Shipeng Liu Ziliang Xiong Bastian Wandt Per-Erik Forssén 37 0 0 04 May 2025
Learning and Transferring Physical Models through Derivatives Alessandro Trenta Andrea Cossu Davide Bacciu AI4CE 36 0 0 02 May 2025
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Pramook Khungurn Pratch Piyawongwisal Sira Sriswadi Supasorn Suwajanakorn 32 0 0 02 May 2025
FlowDubber: Movie Dubbing with LLM-based Semantic-aware Learning and Flow Matching based Voice Enhancing Gaoxiang Cong Liang-Sheng Li Jiadong Pan Zhedong Zhang Amin Beheshti A. Hengel Yuankai Qi Qingming Huang 129 0 0 02 May 2025
Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings Andreas Sochopoulos Nikolay Malkin Nikolaos Tsagkas João Moura Michael Gienger S. Vijayakumar 44 1 0 02 May 2025
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting Chengsen Wang Q. Qi J. Wang Haifeng Sun Zirui Zhuang J. Liao AI4TS 45 0 0 01 May 2025
A new architecture of high-order deep neural networks that learn martingales Syoiti Ninomiya Yuming Ma OOD 49 0 0 01 May 2025
JFlow: Model-Independent Spherical Jeans Analysis using Equivariant Continuous Normalizing Flows Sung Hak Lim Kohei Hayashi Shuníchi Horigome Shigeki Matsumoto M. Nojiri 19 0 0 01 May 2025
Interpretable Spatial-Temporal Fusion Transformers: Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs Shuwen Sun Lihong Feng P. Benner 45 0 0 01 May 2025
A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI Lik Hang Kenny Wong Xueyang Kang Kaixin Bai Jianwei Zhang 56 0 0 01 May 2025
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Kwon Byung-Ki Qi Dai Lee Hyoseok Chong Luo Tae-Hyun Oh 71 0 0 01 May 2025
ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes Amartya Mukherjee Ruizhi Deng He Zhao Yuzhen Mao Leonid Sigal Frederick Tung DiffM AI4TS 53 0 0 29 Apr 2025
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Rudy Morel Jiequn Han Edouard Oyallon AI4CE 56 0 0 28 Apr 2025
Integration Flow Models Jingjing Wang Dan Zhang Joshua Luo Yin Yang Feng Luo 133 0 0 28 Apr 2025
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control Abdelhakim Amer David Felsager Yury Brodskiy Andriy Sarabakha PINN AI4CE 63 0 0 28 Apr 2025
Flow Along the K-Amplitude for Generative Modeling Weitao Du Shuning Chang Jiasheng Tang Yu Rong F. Wang Shengchao Liu 51 0 0 27 Apr 2025
Imitation Learning for Autonomous Driving: Insights from Real-World Testing Hidayet Ersin Dursun Yusuf Guven Tufan Kumbasar 22 0 0 26 Apr 2025
Introducing Interval Neural Networks for Uncertainty-Aware System Identification Mehmet Ali Ferah Tufan Kumbasar 19 0 0 26 Apr 2025
Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations Ken-Joel Simmoteit Philipp Schillinger Leonel Rozo 23 0 0 26 Apr 2025
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Enqi Zhang MQ 146 0 0 24 Apr 2025
Flow Matching Ergodic Coverage Max Muchen Sun Allison Pinosky Todd Murphey 35 0 0 24 Apr 2025
Fast Online Adaptive Neural MPC via Meta-Learning Yu Mei Xinyu Zhou Shuyang Yu Vaibhav Srivastava Xiaobo Tan 46 0 0 23 Apr 2025
MoBGS: Motion Deblurring Dynamic 3D Gaussian Splatting for Blurry Monocular Video Minh-Quan Viet Bui Jongmin Park J. P. Bello Jaeho Moon Jihyong Oh Munchurl Kim 136 0 0 21 Apr 2025
Modelling Mean-Field Games with Neural Ordinary Differential Equations Anna C. M. Thöni Yoram Bachrach Tal Kachman 35 0 0 17 Apr 2025
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Aaron J. Havens Benjamin Kurt Miller Bing Yan Carles Domingo-Enrich Anuroop Sriram ... Brandon Amos Brian Karrer Xiang Fu Guan-Horng Liu Ricky T. Q. Chen DiffM 50 0 0 16 Apr 2025
Dysarthria Normalization via Local Lie Group Transformations for Robust ASR Mikhail Osipov 43 0 0 16 Apr 2025
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 152 1 0 16 Apr 2025
Debiasing 6-DOF IMU via Hierarchical Learning of Continuous Bias Dynamics Ben Liu Tzu-Yuan Lin Wei Zhang Maani Ghaffari 25 0 0 13 Apr 2025
Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference Xuechun Li Shan Gao Susu Xu DiffM 28 0 0 05 Apr 2025
High-order expansion of Neural Ordinary Differential Equations flows Dario Izzo Sebastien Origer Giacomo Acciarini F. Biscani AI4CE 29 0 0 02 Apr 2025
Learning-Based Approximate Nonlinear Model Predictive Control Motion Cueing Camilo Gonzalez Arango Houshyar Asadi Mohammad Reza Chalak Qazani Chee Peng Lim 43 0 0 01 Apr 2025
HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction Khoa Tran Bao Huynh T. Le Lam Pham Vy-Rin Nguyen Hung-Cuong Trinh Duong Tran Anh 36 0 0 27 Mar 2025
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models Shriyank Somvanshi Md Monzurul Islam Mahmuda Sultana Mimi Sazzad Bin Bashar Polock Gaurab Chhetri Subasish Das Mamba AI4TS 45 0 0 22 Mar 2025
ARFlow: Human Action-Reaction Flow Matching with Physical Guidance Wentao Jiang Jingya Wang Haotao Lu Kaiyang Ji Baoxiong Jia Siyuan Huang Ye-ling Shi 44 0 0 21 Mar 2025
UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing Tsu-jui Fu Yusu Qian Chen Chen Wenze Hu Zhe Gan Y. Yang 92 1 0 16 Mar 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 72 29 0 13 Mar 2025
Flows on convex polytopes Tomek Diederen Nicola Zamboni 42 0 0 13 Mar 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies Chen Xu Tony Nguyen Emma Dixon Christopher Rodriguez Patrick "Tree" Miller Robert Lee Paarth Shah Rares Ambrus Haruki Nishimura Masha Itkina OffRL 86 2 0 11 Mar 2025