Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 822 papers shown

Title
Physics-Informed Residual Neural Ordinary Differential Equations for Enhanced Tropical Cyclone Intensity Forecasting Fan Meng 44 0 0 09 Mar 2025
Generative Video Bi-flow Chen Liu Tobias Ritschel DiffM VGen 50 0 0 09 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator Kaiwen Zheng Yongxin Chen Huayu Chen Guande He Ming-Yu Liu J. Zhu Qinsheng Zhang DiffM 49 0 0 03 Mar 2025
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning Anh Tong Thanh Nguyen-Tang Dongeun Lee Duc Nguyen Toan M. Tran David Hall Cheongwoong Kang Jaesik Choi 33 0 0 03 Mar 2025
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows Jonathan Geuter Clément Bonet Anna Korba David Alvarez-Melis 56 0 0 03 Mar 2025
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management Shuyi Chen Ferdinando Fioretto Feng Qiu Shixiang Zhu 73 0 0 25 Feb 2025
A Fokker-Planck-Based Loss Function that Bridges Dynamics with Density Estimation Zhixin Lu Łukasz Kuśmierz Stefan Mihalas 65 0 0 24 Feb 2025
Towards Hierarchical Rectified Flow Yichi Zhang Yici Yan A. Schwing Zhizhen Zhao 41 1 0 24 Feb 2025
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence Pranav Vaidhyanathan Aristotelis Papatheodorou Mark T. Mitchison Natalia Ares Ioannis Havoutis PINN AI4CE 38 1 0 23 Feb 2025
Conditional sampling within generative diffusion models Zheng Zhao Ziwei Luo Jens Sjölund Thomas B. Schon DiffM VLM 73 3 0 20 Feb 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong C. Yu X. Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 76 2 0 18 Feb 2025
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 66 4 0 17 Feb 2025
Neural Guided Diffusion Bridges Gefan Yang Frank van der Meulen Stefan Sommer DiffM 55 0 0 17 Feb 2025
Lines of Thought in Large Language Models Raphael Sarfati Toni J. B. Liu Nicolas Boullé Christopher Earls LRM VLM LM&Ro 66 1 0 17 Feb 2025
Neural Spatiotemporal Point Processes: Trends and Challenges Sumantrak Mukherjee Mouad Elhamdi George Mohler David Selby Yao Xie Sebastian Vollmer Gerrit Grossmann AI4TS 173 1 0 13 Feb 2025
Functional Complexity-adaptive Temporal Tensor Decomposition Panqi Chen Lei Cheng J. Li Weichang Li W. Liu Jiang Bian Shikai Fang CML 77 0 0 10 Feb 2025
Learning Memory and Material Dependent Constitutive Laws K. Bhattacharya Lianghao Cao George Stepaniants Andrew M. Stuart Margaret Trautner 63 1 0 08 Feb 2025
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology Luka Kovacevic Thomas Gaudelet James Opzoomer Hagen Triendl John Whittaker Caroline Uhler Lindsay Edwards J. Taylor-King AI4CE 72 0 0 31 Jan 2025
Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics Keqin Wang Yulong Yang Ishan Saha Christine Allen-Blanchette 51 1 0 31 Jan 2025
Trustworthy Evaluation of Generative AI Models Zijun Gao Yan Sun 104 0 0 31 Jan 2025
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization Kelvin Kan Xingjian Li Stanley Osher 91 2 0 30 Jan 2025
No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Krzysztof Kacprzyk M. Schaar 106 0 0 30 Jan 2025
A Generalization Bound for a Family of Implicit Networks Samy Wu Fung Benjamin Berkels 41 0 0 28 Jan 2025
Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Yueyang Wang Kejun Tang Xili Wang Xiaoliang Wan Weiqing Ren Chao Yang 40 0 0 28 Jan 2025
How more data can hurt: Instability and regularization in next-generation reservoir computing Yuanzhao Zhang Edmilson Roque dos Santos Sean P. Cornelius 77 2 0 28 Jan 2025
AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation Taimeng Fu Zitong Zhan Zhipeng Zhao Shaoshu Su Xiao Lin Ehsan Esfahani Karthik Dantu Souma Chowdhury Chen Wang 85 1 0 22 Jan 2025
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs He Yu J. Liu 31 0 0 21 Jan 2025
Block Flow: Learning Straight Flow on Data Blocks Zibin Wang Zhiyuan Ouyang Xiangyun Zhang 31 0 0 20 Jan 2025
Towards Scalable and Stable Parallelization of Nonlinear RNNs Xavier Gonzalez Andrew Warrington Jimmy T.H. Smith Scott W. Linderman 85 8 0 17 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 54 2 0 13 Jan 2025
Generative Modelling with High-Order Langevin Dynamics Ziqiang Shi Rujie Liu DiffM 62 2 0 03 Jan 2025
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 44 0 0 03 Jan 2025
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures Joao Bravo Jacopo Bono Pedro Saleiro Hugo Ferreira P. Bizarro 32 0 0 31 Dec 2024
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks Cyrus Neary Nathan Tsao Ufuk Topcu 72 1 0 15 Dec 2024
Fast and Robust Visuomotor Riemannian Flow Matching Policy Haoran Ding Noémie Jaquier Jan Peters Leonel Rozo 86 2 0 14 Dec 2024
EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing Gaoxiang Cong Jiadong Pan Liang-Sheng Li Yuankai Qi Yuxin Peng A. Hengel Jian Yang Qingming Huang 90 6 0 12 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 75 0 0 29 Nov 2024
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks Benjamin Cox Santiago Segarra Victor Elvira 73 0 0 23 Nov 2024
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Jake Buzhardt C. Ricardo Constante-Amores Michael D. Graham 63 2 0 20 Nov 2024
Multi-Parameter Molecular MRI Quantification using Physics-Informed Self-Supervised Learning Alex Finkelstein Nikita Vladimirov Moritz Zaiss O. Perlman 31 1 0 10 Nov 2024
When are dynamical systems learned from time series data statistically accurate? Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 34 4 0 09 Nov 2024
A scalable generative model for dynamical system reconstruction from neuroimaging data Eric Volkmann Alena Brändle Daniel Durstewitz G. Koppe AI4CE 28 1 0 05 Nov 2024
ReMatching Dynamic Reconstruction Flow Sara Oblak Despoina Paschalidou Sanja Fidler Matan Atzmon 41 0 0 01 Nov 2024
Prospective Learning: Learning for a Dynamic Future Ashwin De Silva Rahul Ramesh Rubing Yang Siyu Yu Joshua T. Vogelstein Pratik Chaudhari AI4TS 63 0 0 31 Oct 2024
Emergence of meta-stable clustering in mean-field transformer models Giuseppe Bruno Federico Pasqualotto Andrea Agazzi 45 6 0 30 Oct 2024
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi L. Wang K. Zhou 26 4 0 28 Oct 2024
Predicting sub-population specific viral evolution Wenxian Shi Menghua Wu Regina Barzilay 29 0 0 28 Oct 2024
SIGMA: Single Interpolated Generative Model for Anomalies Ranit Das David Shih DiffM 33 2 0 27 Oct 2024
Brain-like variational inference Hadi Vafaii Dekel Galor Jacob L. Yates DRL 49 0 0 25 Oct 2024
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics Katharina Friedl Noémie Jaquier Jens Lundell Tamim Asfour Danica Kragic AI4CE 28 0 0 24 Oct 2024