Metric Flow Matching for Smooth Interpolations on the Data Manifold

23 May 2024

Papers citing "Metric Flow Matching for Smooth Interpolations on the Data Manifold"

6 / 6 papers shown

Title
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Y. Lin Ronald R. Coifman Gal Mishne Ronen Talmon 23 2 0 28 Oct 2024
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds Xingzhi Sun Danqi Liao Kincaid MacDonald Yanlei Zhang Chen Liu Guillaume Huguet Guy Wolf Ian M. Adelstein Tim G. J. Rudner Smita Krishnaswamy 36 2 0 16 Oct 2024
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 22 20 0 15 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 50 39 0 11 Jul 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 206 163 0 06 Feb 2022
Towards a mathematical theory of trajectory inference Hugo Lavenant Stephen X. Zhang Young-Heon Kim Geoffrey Schiebinger 21 37 0 18 Feb 2021