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Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow
  Matching on Assignment Manifolds

Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds

12 February 2024
Bastian Boll
Daniel Gonzalez-Alvarado
Christoph Schnörr
    DRL
ArXivPDFHTML

Papers citing "Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds"

5 / 5 papers shown
Title
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data
Bastian Boll
Daniel Gonzalez-Alvarado
Stefania Petra
Christoph Schnörr
31
4
0
06 Jun 2024
Diffusion Models: A Comprehensive Survey of Methods and Applications
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
208
1,277
0
02 Sep 2022
Matching Normalizing Flows and Probability Paths on Manifolds
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
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
Argmax Flows and Multinomial Diffusion: Learning Categorical
  Distributions
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
191
392
0
10 Feb 2021
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