Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 869 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 32 0 0 12 May 2025
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method Mihyeon Kim Juhyoung Park Youngbin Kim 34 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
Riemannian Denoising Diffusion Probabilistic Models Z. Liu Wei Zhang Christof Schütte Tiejun Li DiffM 76 0 0 07 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
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
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
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
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
Learning and Transferring Physical Models through Derivatives Alessandro Trenta Andrea Cossu Davide Bacciu AI4CE 36 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 47 1 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
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
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 52 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
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
Interpretable Spatial-Temporal Fusion Transformers: Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs Shuwen Sun Lihong Feng P. Benner 47 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
Integration Flow Models Jingjing Wang Dan Zhang Joshua Luo Yin Yang Feng Luo 136 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
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
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
Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations Ken-Joel Simmoteit Philipp Schillinger Leonel Rozo 28 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
Flow Matching Ergodic Coverage Max Muchen Sun Allison Pinosky Todd Murphey 40 0 0 24 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
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 141 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
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 152 1 0 16 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
Debiasing 6-DOF IMU via Hierarchical Learning of Continuous Bias Dynamics Ben Liu Tzu-Yuan Lin Wei Zhang Maani Ghaffari 27 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 45 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
Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts Yu Cao Zengqun Zhao Ioannis Patras Shaogang Gong DiffM 48 0 0 20 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 97 1 0 16 Mar 2025
Flows on convex polytopes Tomek Diederen Nicola Zamboni 42 0 0 13 Mar 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 74 29 0 13 Mar 2025