Neural Manifold Ordinary Differential Equations

18 June 2020

Ser-Nam Lim

Papers citing "Neural Manifold Ordinary Differential Equations"

20 / 20 papers shown

Title
Riemannian Denoising Diffusion Probabilistic Models Z. Liu Wei Zhang Christof Schütte Tiejun Li DiffM 73 0 0 07 May 2025
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 71 4 0 17 Feb 2025
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu Tianrong Chen Lingkai Kong Evangelos A. Theodorou Molei Tao DiffM 37 4 0 25 May 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 30 3 0 25 Jan 2024
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control T. Duong Abdullah Altawaitan Jason Stanley Nikolay A. Atanasov 28 10 0 17 Jan 2024
Non-parametric regression for robot learning on manifolds P. C. López-Custodio K. Bharath A. Kucukyilmaz S. P. Preston 23 1 0 30 Oct 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 31 9 0 11 Oct 2023
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs Karthik Elamvazhuthi Xuechen Zhang Samet Oymak Fabio Pasqualetti AI4CE 24 6 0 15 May 2023
Flow Matching on General Geometries Ricky T. Q. Chen Y. Lipman AI4CE 24 67 0 07 Feb 2023
Rigid Body Flows for Sampling Molecular Crystal Structures Jonas Köhler Michele Invernizzi P. D. Haan Frank Noé AI4CE 35 27 0 26 Jan 2023
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections Clément Bonet Laetitia Chapel Lucas Drumetz Nicolas Courty 11 14 0 18 Nov 2022
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms Jiechao Zhang Hadi Beik-Mohammadi Leonel Rozo 16 15 0 06 Nov 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,302 0 02 Sep 2022
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics Ke Alexander Wang Danielle C. Maddix Yuyang Wang AI4CE 26 1 0 18 Dec 2021
Deep Efficient Continuous Manifold Learning for Time Series Modeling Seungwoo Jeong Wonjun Ko A. Mulyadi Heung-Il Suk AI4TS 26 8 0 03 Dec 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds N. Rozen Aditya Grover Maximilian Nickel Y. Lipman DRL AI4CE 19 57 0 18 Aug 2021
Riemannian Convex Potential Maps Samuel N. Cohen Brandon Amos Y. Lipman 18 22 0 18 Jun 2021
Continuous normalizing flows on manifolds Luca Falorsi BDL AI4CE 21 10 0 14 Mar 2021
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 25 119 0 18 Jun 2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data Kristopher T. Jensen Ta-Chu Kao Marco Tripodi Guillaume Hennequin DRL 18 31 0 12 Jun 2020