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Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces

Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces

18 May 2023
Javier E. Santos
Z. Fox
Nicholas Lubbers
Yen Ting Lin
    DiffM
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Papers citing "Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces"

9 / 9 papers shown
Title
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling
Javier E. Santos
Agnese Marcato
Roman Colman
Nicholas Lubbers
Yen Ting Lin
42
0
0
03 May 2025
Simplified and Generalized Masked Diffusion for Discrete Data
Simplified and Generalized Masked Diffusion for Discrete Data
Jiaxin Shi
Kehang Han
Z. Wang
Arnaud Doucet
Michalis K. Titsias
DiffM
79
62
0
17 Jan 2025
Posterior Mean Matching: Generative Modeling through Online Bayesian
  Inference
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference
Sebastian Salazar
Michal Kucer
Yixin Wang
Emily Casleton
David Blei
DiffM
90
0
0
17 Dec 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
Yinuo Ren
Haoxuan Chen
Grant M. Rotskoff
Lexing Ying
47
3
0
04 Oct 2024
Informed Correctors for Discrete Diffusion Models
Informed Correctors for Discrete Diffusion Models
Yixiu Zhao
Jiaxin Shi
Lester W. Mackey
Scott W. Linderman
Lester Mackey
Scott Linderman
48
9
0
30 Jul 2024
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Hunter Nisonoff
Junhao Xiong
Stephan Allenspach
Jennifer Listgarten
60
31
0
03 Jun 2024
Categorical Flow Matching on Statistical Manifolds
Categorical Flow Matching on Statistical Manifolds
Chaoran Cheng
Jiahan Li
Jian-wei Peng
Ge Liu
61
10
0
26 May 2024
A Continuous Time Framework for Discrete Denoising Models
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
188
134
0
30 May 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
207
394
0
10 Feb 2021
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