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Informed Correctors for Discrete Diffusion Models

Informed Correctors for Discrete Diffusion Models

30 July 2024
Yixiu Zhao
Jiaxin Shi
Lester W. Mackey
Scott W. Linderman
Lester Mackey
Scott Linderman
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Papers citing "Informed Correctors for Discrete Diffusion Models"

13 / 13 papers shown
Title
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
Ruixiang Zhang
Shuangfei Zhai
Yizhe Zhang
James Thornton
Zijing Ou
Joshua M. Susskind
Navdeep Jaitly
DiffM
30
0
0
23 Apr 2025
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs
Yoann Boget
Alexandros Kalousis
DiffM
51
0
0
27 Mar 2025
Remasking Discrete Diffusion Models with Inference-Time Scaling
Guanghan Wang
Yair Schiff
S. Sahoo
Volodymyr Kuleshov
DiffM
37
2
0
01 Mar 2025
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
Oussama Zekri
Nicolas Boullé
DiffM
47
2
0
03 Feb 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
70
61
0
17 Jan 2025
$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete
  Diffusion Models
Jump Your Steps\textit{Jump Your Steps}Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models
Yong-Hyun Park
Chieh-Hsin Lai
Satoshi Hayakawa
Yuhta Takida
Yuki Mitsufuji
54
4
0
10 Oct 2024
G2D2: Gradient-guided Discrete Diffusion for image inverse problem
  solving
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving
Naoki Murata
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
Bac Nguyen
Stefano Ermon
Yuki Mitsufuji
DiffM
51
1
0
09 Oct 2024
From Denoising Diffusions to Denoising Markov Models
From Denoising Diffusions to Denoising Markov Models
Joe Benton
Yuyang Shi
Valentin De Bortoli
George Deligiannidis
Arnaud Doucet
DiffM
63
16
0
07 Nov 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data
Concrete Score Matching: Generalized Score Matching for Discrete Data
Chenlin Meng
Kristy Choi
Jiaming Song
Stefano Ermon
DiffM
175
53
0
02 Nov 2022
Discrete Langevin Sampler via Wasserstein Gradient Flow
Discrete Langevin Sampler via Wasserstein Gradient Flow
Haoran Sun
H. Dai
Bo Dai
Haomin Zhou
Dale Schuurmans
BDL
32
19
0
29 Jun 2022
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
172
132
0
30 May 2022
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
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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