Efficient Diffusion Models for Symmetric Manifolds

27 May 2025

Papers citing "Efficient Diffusion Models for Symmetric Manifolds"

20 / 20 papers shown

Title
Private Low-Rank Approximation for Covariance Matrices, Dyson Brownian Motion, and Eigenvalue-Gap Bounds for Gaussian Perturbations Oren Mangoubi Nisheeth K. Vishnoi 107 2 0 11 Feb 2025
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu Tianrong Chen Lingkai Kong Evangelos A. Theodorou Molei Tao DiffM 112 6 0 25 May 2024
Scaling Riemannian Diffusion Models Aaron Lou Minkai Xu Stefano Ermon 79 9 0 30 Oct 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 98 10 0 11 Oct 2023
Nearly $d$ -Linear Convergence Bounds for Diffusion Models via Stochastic Localization Joe Benton Valentin De Bortoli Arnaud Doucet George Deligiannidis DiffM 106 117 0 07 Aug 2023
Private Covariance Approximation and Eigenvalue-Gap Bounds for Complex Gaussian Perturbations Oren Mangoubi Nisheeth K. Vishnoi 46 5 0 29 Jun 2023
Flow Matching on General Geometries Ricky T. Q. Chen Y. Lipman AI4CE 151 85 0 07 Feb 2023
SE(3) diffusion model with application to protein backbone generation Jason Yim Brian L. Trippe Valentin De Bortoli Emile Mathieu Arnaud Doucet Regina Barzilay Tommi Jaakkola DiffM 118 210 0 05 Feb 2023
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions Hongrui Chen Holden Lee Jianfeng Lu DiffM 89 142 0 03 Nov 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 227 278 0 22 Sep 2022
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion Julen Urain Niklas Funk Jan Peters Georgia Chalvatzaki DiffM 160 127 0 08 Sep 2022
Matching Normalizing Flows and Probability Paths on Manifolds Heli Ben-Hamu Samuel N. Cohen Joey Bose Brandon Amos Aditya Grover Maximilian Nickel Ricky T. Q. Chen Y. Lipman 113 42 0 11 Jul 2022
Torsional Diffusion for Molecular Conformer Generation Bowen Jing Gabriele Corso Jeffrey Chang Regina Barzilay Tommi Jaakkola DiffM BDL 110 276 0 01 Jun 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 309 172 0 06 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 591 15,845 0 20 Dec 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds N. Rozen Aditya Grover Maximilian Nickel Y. Lipman DRL AI4CE 113 60 0 18 Aug 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 953 18,496 0 19 Jun 2020
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 136 126 0 18 Jun 2020
Geodesic Convex Optimization: Differentiation on Manifolds, Geodesics, and Convexity Nisheeth K. Vishnoi 65 38 0 17 Jun 2018
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 230 407 0 20 Oct 2016