Neural Ordinary Differential Equations

19 June 2018

Papers citing "Neural Ordinary Differential Equations"

50 / 883 papers shown

Title
Pretext Training Algorithms for Event Sequence Data Yimu Wang He Zhao Ruizhi Deng Frederick Tung Greg Mori AI4TS 26 0 0 16 Feb 2024
Sequential Flow Straightening for Generative Modeling Jongmin Yoon Juho Lee 29 0 0 09 Feb 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows Vijaya Krishna Yalavarthi Randolf Scholz Stefan Born Lars Schmidt-Thieme AI4TS 35 0 0 09 Feb 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 37 41 0 09 Feb 2024
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models Christian Horvat J. Pfister DiffM 31 8 0 06 Feb 2024
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction Qilong Ma Haixu Wu Lanxiang Xing Jianmin Wang Mingsheng Long AI4CE 26 0 0 04 Feb 2024
Deep Continuous Networks Nergis Tomen S. Pintea J. C. V. Gemert 92 14 0 02 Feb 2024
Continuously Evolving Graph Neural Controlled Differential Equations for Traffic Forecasting Jiajia Wu Ling Chen AI4TS 29 2 0 26 Jan 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 36 3 0 25 Jan 2024
Approximation of Solution Operators for High-dimensional PDEs Nathan Gaby Xiaojing Ye 27 0 0 18 Jan 2024
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control T. Duong Abdullah Altawaitan Jason Stanley Nikolay Atanasov 28 10 0 17 Jan 2024
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations Rui She Sijie Wang Qiyu Kang Kai Zhao Yang Song Wee Peng Tay Tianyu Geng Xingchao Jian DiffM 3DPC 41 2 0 06 Jan 2024
Hybrid Modeling Design Patterns Maja Rudolph Stefan Kurz Barbara Rakitsch AI4CE 31 8 0 29 Dec 2023
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 41 2 0 27 Dec 2023
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 40 9 0 22 Dec 2023
Relightable and Animatable Neural Avatars from Videos Wenbin Lin Chengwei Zheng Jun-hai Yong Feng Xu 34 11 0 20 Dec 2023
Gaussian process learning of nonlinear dynamics Dongwei Ye Mengwu Guo 18 4 0 19 Dec 2023
Vertical Symbolic Regression Nan Jiang Md Nasim Yexiang Xue 19 1 0 19 Dec 2023
Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics Yesukhei Jagvaral F. Lanusse Rachel Mandelbaum DiffM 35 5 0 18 Dec 2023
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics Lanlan Chen K. Wu Jian Lou Jing Liu 29 6 0 18 Dec 2023
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow Carlos E. Pérez De Jesús Alec J. Linot Michael D. Graham AI4CE 35 1 0 15 Dec 2023
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space Yiheng Jiang Sinho Chewi Aram-Alexandre Pooladian 29 7 0 05 Dec 2023
Stochastic Optimal Control Matching Carles Domingo-Enrich Jiequn Han Brandon Amos Joan Bruna Ricky T. Q. Chen DiffM 18 6 0 04 Dec 2023
Interpretable Meta-Learning of Physical Systems Matthieu Blanke Marc Lelarge AI4CE 22 4 0 01 Dec 2023
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information Joschka Birk E. Buhmann Cedric Ewen Gregor Kasieczka David Shih 30 12 0 30 Nov 2023
Touring sampling with pushforward maps Vivien A. Cabannes Charles Arnal 26 0 0 23 Nov 2023
Differentiable Visual Computing for Inverse Problems and Machine Learning Andrew Spielberg Fangcheng Zhong Konstantinos Rematas Krishna Murthy Jatavallabhula Cengiz Öztireli Tzu-Mao Li Derek Nowrouzezahrai 45 7 0 21 Nov 2023
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering Ke Xu Yuanjie Zhu Weizhi Zhang Philip S. Yu BDL GNN 21 4 0 21 Nov 2023
Stable Attractors for Neural networks classification via Ordinary Differential Equations (SA-nODE) Raffaele Marino Lorenzo Giambagli Lorenzo Chicchi L. Buffoni Duccio Fanelli 19 7 0 17 Nov 2023
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction G. Jin Lingbo Liu Fuxian Li Jincai Huang AI4TS GNN 3DPC 19 34 0 15 Nov 2023
Hierarchical deep learning-based adaptive time-stepping scheme for multiscale simulations Asif Hamid Danish Rafiq S. A. Nahvi M. A. Bazaz AI4CE 36 1 0 10 Nov 2023
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation Zheng Wang Shibo Li Shikai Fang Shandian Zhe DiffM AI4CE 16 1 0 09 Nov 2023
Real-Time Recurrent Reinforcement Learning Julian Lemmel Radu Grosu 26 1 0 08 Nov 2023
Bespoke Solvers for Generative Flow Models Neta Shaul Juan C. Pérez Ricky T. Q. Chen Ali K. Thabet Albert Pumarola Y. Lipman 25 23 0 29 Oct 2023
On the Neural Tangent Kernel of Equilibrium Models Zhili Feng J. Zico Kolter 18 6 0 21 Oct 2023
TabuLa: Harnessing Language Models for Tabular Data Synthesis Zilong Zhao Robert Birke Lydia Y. Chen LMTD 37 29 0 19 Oct 2023
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation Rachid Zeghlache Pierre-Henri Conze Mostafa EL HABIB DAHO Yi-Hsuan Li Hugo Le Boité ... Pascale Massin B. Cochener Ikram Brahim G. Quellec M. Lamard 21 4 0 16 Oct 2023
Time-vectorized numerical integration for systems of ODEs Mark C. Messner Tianchen Hu Tianju Chen AI4TS 26 1 0 12 Oct 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 34 9 0 11 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay AAML 40 22 0 10 Oct 2023
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers Stéphane d’Ascoli Soren Becker Alexander Mathis Philippe Schwaller Niki Kilbertus 24 21 0 09 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 20 10 0 08 Oct 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 42 1 0 06 Oct 2023
Amortized Network Intervention to Steer the Excitatory Point Processes Zitao Song Wendi Ren Sourav Garg 16 1 0 06 Oct 2023
On the Parallel Complexity of Multilevel Monte Carlo in Stochastic Gradient Descent Kei Ishikawa BDL 63 0 0 03 Oct 2023
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin G. Walters Rose Yu 30 12 0 29 Sep 2023
A Spectral Approach for Learning Spatiotemporal Neural Differential Equations Mingtao Xia Xiangting Li Qijing Shen Tom Chou 13 0 0 28 Sep 2023
Learning Dissipative Neural Dynamical Systems Yuezhu Xu S. Sivaranjani 23 2 0 27 Sep 2023
Neural Stochastic Differential Equations for Robust and Explainable Analysis of Electromagnetic Unintended Radiated Emissions Sumit Kumar Jha Susmit Jha Rickard Ewetz Alvaro Velasquez 12 2 0 27 Sep 2023
Subjective Face Transform using Human First Impressions Chaitanya Roygaga Joshua Krinsky Kai Zhang Kenny Kwok Aparna Bharati CVBM 39 0 0 27 Sep 2023