Neural Ordinary Differential Equations on Manifolds

Neural Ordinary Differential Equations on Manifolds

11 June 2020

Papers citing "Neural Ordinary Differential Equations on Manifolds"

11 / 11 papers shown

Title
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu Tianrong Chen Lingkai Kong Evangelos A. Theodorou Molei Tao DiffM 40 4 0 25 May 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
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 37 9 0 11 Oct 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 21 6 0 04 Aug 2023
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs Karthik Elamvazhuthi Xuechen Zhang Samet Oymak Fabio Pasqualetti AI4CE 26 6 0 15 May 2023
Deep Efficient Continuous Manifold Learning for Time Series Modeling Seungwoo Jeong Wonjun Ko A. Mulyadi Heung-Il Suk AI4TS 29 8 0 03 Dec 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds N. Rozen Aditya Grover Maximilian Nickel Y. Lipman DRL AI4CE 27 57 0 18 Aug 2021
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 27 119 0 18 Jun 2020
Neural Manifold Ordinary Differential Equations Aaron Lou Derek Lim Isay Katsman Leo Huang Qingxuan Jiang Ser-Nam Lim Christopher De Sa BDL AI4CE 23 79 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 22 31 0 12 Jun 2020
The Power Spherical distribution Nicola De Cao Wilker Aziz 22 28 0 08 Jun 2020