Moser Flow: Divergence-based Generative Modeling on Manifolds

18 August 2021

Papers citing "Moser Flow: Divergence-based Generative Modeling on Manifolds"

41 / 41 papers shown

Title
Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity Ziqiang Liu Wei Zhang Tiejun Li DiffM 21 0 0 15 May 2025
Riemannian Denoising Diffusion Probabilistic Models Ziqiang Liu Wei Zhang Christof Schütte Tiejun Li DiffM 76 0 0 07 May 2025
Ergodic Generative Flows Leo Maxime Brunswic Mateo Clemente Rui Heng Yang Adam Sigal Amir Rasouli Yinchuan Li 42 0 0 06 May 2025
Riemannian Neural Geodesic Interpolant Jiawen Wu Bingguang Chen Yuyi Zhou Qi Meng Rongchan Zhu Zhi-Ming Ma 24 0 0 22 Apr 2025
LocDiffusion: Identifying Locations on Earth by Diffusing in the Hilbert Space Zhangyu Wang Jielu Zhang Zhongliang Zhou Qian Cao Nemin Wu ... Lan Mu Yang Song Yiqun Xie Ni Lao Gengchen Mai DiffM 36 0 0 23 Mar 2025
Towards Hierarchical Rectified Flow Yichi Zhang Yici Yan A. Schwing Zhizhen Zhao 47 1 0 24 Feb 2025
Mean-Shift Distillation for Diffusion Mode Seeking Vikas Thamizharasan Nikitas Chatzis Iliyan Georgiev Matthew Fisher Difan Liu Nanxuan Zhao E. Kalogerakis Michal Lukac DiffM 43 0 0 21 Feb 2025
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Yang Cao Zhao-quan Song Chiwun Yang VGen 46 2 0 01 Feb 2025
Variational Flow Matching for Graph Generation Floor Eijkelboom Grigory Bartosh C. A. Naesseth Max Welling Jan Willem van de Meent 31 10 0 07 Jun 2024
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
Metric Flow Matching for Smooth Interpolations on the Data Manifold Kacper Kapusniak Peter Potaptchik Teodora Reu Leo Zhang Alexander Tong Michael M. Bronstein A. Bose Francesco Di Giovanni 41 12 0 23 May 2024
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds Bastian Boll Daniel Gonzalez-Alvarado Christoph Schnörr DRL 45 4 0 12 Feb 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
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
Learning Distributions on Manifolds with Free-form Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Ullrich Kothe DRL AI4CE 29 2 0 15 Dec 2023
Noise in the reverse process improves the approximation capabilities of diffusion models Karthik Elamvazhuthi Samet Oymak Fabio Pasqualetti DiffM 10 0 0 13 Dec 2023
Scaling Riemannian Diffusion Models Aaron Lou Minkai Xu Stefano Ermon 24 8 0 30 Oct 2023
Riemannian Residual Neural Networks Isay Katsman Eric Chen Sidhanth Holalkere Anna Asch Aaron Lou Ser-Nam Lim Christopher De Sa 21 10 0 16 Oct 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 34 9 0 11 Oct 2023
Parallelizing non-linear sequential models over the sequence length Yi Heng Lim Qi Zhu Joshua Selfridge M. F. Kasim 22 13 0 21 Sep 2023
Simulation-free Schrödinger bridges via score and flow matching Alexander Tong Nikolay Malkin Kilian Fatras Lazar Atanackovic Yanlei Zhang G. Huguet Guy Wolf Yoshua Bengio DiffM OT 36 29 0 07 Jul 2023
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints Alistair J R White Niki Kilbertus Maximilian Gelbrecht Niklas Boers 20 6 0 16 Jun 2023
Error Bounds for Flow Matching Methods Joe Benton George Deligiannidis Arnaud Doucet DiffM 28 31 0 26 May 2023
Manifold Diffusion Fields Ahmed A. A. Elhag Yuyang Wang J. Susskind Miguel Angel Bautista DiffM AI4CE 36 4 0 24 May 2023
Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling Yulin Liu Haoran Liu Yingda Yin Yang Wang Baoquan Chen Heru Wang 16 13 0 08 Apr 2023
DIME-Net: Neural Network-Based Dynamic Intrinsic Parameter Rectification for Cameras with Optical Image Stabilization System Shu-Hao Yeh Shuangyun Xie Di Wang Wei Yan Dezhen Song 25 1 0 20 Mar 2023
Conformal Generative Modeling on Triangulated Surfaces Victor D. Dorobantu Charlotte Borcherds Yisong Yue 25 1 0 17 Mar 2023
Diffusion Probabilistic Fields Peiye Zhuang Samira Abnar Jiatao Gu Alex Schwing Joshua M. Susskind Miguel Angel Bautista DiffM 22 25 0 01 Mar 2023
Flow Matching on General Geometries Ricky T. Q. Chen Y. Lipman AI4CE 27 67 0 07 Feb 2023
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 39 231 0 01 Feb 2023
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 41 1,046 0 06 Oct 2022
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 48 50 0 04 Oct 2022
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data Mao Ye Lemeng Wu Qiang Liu DiffM 15 19 0 02 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 55 39 0 11 Jul 2022
Gradual Domain Adaptation via Normalizing Flows Shogo Sagawa H. Hino CLL OOD 22 9 0 23 Jun 2022
Neural Vector Fields for Implicit Surface Representation and Inference Edoardo Mello Rella Ajad Chhatkuli E. Konukoglu Luc Van Gool AI4CE 33 3 0 13 Apr 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 222 164 0 06 Feb 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs I. D. Rodriguez Aaron D. Ames Yisong Yue 33 49 0 05 Feb 2022
Autoencoding Hyperbolic Representation for Adversarial Generation Eric Qu Dongmian Zou GAN 36 4 0 30 Jan 2022
Density estimation on smooth manifolds with normalizing flows Dimitris Kalatzis J. Z. Ye Alison Pouplin Jesper Wohlert Søren Hauberg 11 5 0 07 Jun 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 119 95 0 10 Dec 2020