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2406.03736
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Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
6 June 2024
Jingyang Ou
Shen Nie
Kaiwen Xue
Fengqi Zhu
Jiacheng Sun
Zhenguo Li
Chongxuan Li
DiffM
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Papers citing
"Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data"
26 / 26 papers shown
Title
Guide your favorite protein sequence generative model
Junhao Xiong
Hunter Nisonoff
Ishan Gaur
Jennifer Listgarten
DiffM
35
0
0
07 May 2025
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
23
0
0
23 Apr 2025
Shushing! Let's Imagine an Authentic Speech from the Silent Video
Jiaxin Ye
Hongming Shan
DiffM
VGen
49
1
0
19 Mar 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Marianne Arriola
Aaron Gokaslan
Justin T Chiu
Zhihan Yang
Zhixuan Qi
Jiaqi Han
S. Sahoo
Volodymyr Kuleshov
DiffM
50
3
0
12 Mar 2025
Preference-Based Alignment of Discrete Diffusion Models
Umberto Borso
Davide Paglieri
Jude Wells
Tim Rocktaschel
53
1
0
11 Mar 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms
Jiaming Song
Linqi Zhou
DiffM
50
0
0
10 Mar 2025
Effective and Efficient Masked Image Generation Models
Zebin You
Jingyang Ou
Xiaolu Zhang
Jun Hu
Jun Zhou
Chongxuan Li
DiffM
VLM
49
1
0
10 Mar 2025
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
Zhe Wang
Jiaxin Shi
N. Heess
A. Gretton
Michalis K. Titsias
41
0
0
07 Mar 2025
Generalized Interpolating Discrete Diffusion
Dimitri von Rutte
J. Fluri
Yuhui Ding
Antonio Orvieto
Bernhard Scholkopf
Thomas Hofmann
DiffM
51
0
0
06 Mar 2025
Remasking Discrete Diffusion Models with Inference-Time Scaling
Guanghan Wang
Yair Schiff
S. Sahoo
Volodymyr Kuleshov
DiffM
32
2
0
01 Mar 2025
Large Language Diffusion Models
Shen Nie
Fengqi Zhu
Zebin You
Xiaolu Zhang
Jingyang Ou
Jun Hu
Jun Zhou
Yankai Lin
Ji-Rong Wen
Chongxuan Li
68
12
0
14 Feb 2025
Theoretical Benefit and Limitation of Diffusion Language Model
Guhao Feng
Yihan Geng
Jian-Yu Guan
Wei Yu Wu
Liwei Wang
Di He
DiffM
36
0
0
13 Feb 2025
Enabling Autoregressive Models to Fill In Masked Tokens
Daniel Israel
Aditya Grover
Guy Van den Broeck
AI4CE
41
1
0
09 Feb 2025
Simplified and Generalized Masked Diffusion for Discrete Data
Jiaxin Shi
Kehang Han
Z. Wang
Arnaud Doucet
Michalis K. Titsias
DiffM
61
61
0
17 Jan 2025
[MASK] is All You Need
Vincent Tao Hu
Bjorn Ommer
DiffM
130
2
0
09 Dec 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
Justin Deschenaux
Çağlar Gülçehre
24
2
0
28 Oct 2024
Scaling up Masked Diffusion Models on Text
Shen Nie
Fengqi Zhu
Chao Du
Tianyu Pang
Qian Liu
Guangtao Zeng
Min-Bin Lin
Chongxuan Li
AI4CE
23
13
0
24 Oct 2024
Scaling Diffusion Language Models via Adaptation from Autoregressive Models
Shansan Gong
Shivam Agarwal
Yizhe Zhang
Jiacheng Ye
Lin Zheng
...
Peilin Zhao
W. Bi
Jiawei Han
Hao Peng
Lingpeng Kong
AI4CE
41
14
0
23 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations
Satoshi Hayakawa
Yuhta Takida
Masaaki Imaizumi
Hiromi Wakaki
Yuki Mitsufuji
DiffM
48
0
0
11 Oct 2024
Plug-and-Play Controllable Generation for Discrete Masked Models
Wei Guo
Yuchen Zhu
Molei Tao
Yongxin Chen
24
1
0
03 Oct 2024
Informed Correctors for Discrete Diffusion Models
Yixiu Zhao
Jiaxin Shi
Lester W. Mackey
Scott W. Linderman
Lester Mackey
Scott Linderman
25
9
0
30 Jul 2024
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
Fan Bao
Chendong Xiang
Gang Yue
Guande He
Hongzhou Zhu
Kaiwen Zheng
Min Zhao
Shilong Liu
Yaole Wang
Jun Zhu
VGen
107
50
0
07 May 2024
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Jiasheng Ye
Zaixiang Zheng
Yu Bao
Lihua Qian
Quanquan Gu
DiffM
34
14
0
23 Aug 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
Fan Bao
Shen Nie
Kaiwen Xue
Chongxuan Li
Shiliang Pu
Yaole Wang
Gang Yue
Yue Cao
Hang Su
Jun Zhu
DiffM
188
102
0
12 Mar 2023
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
172
68
0
30 May 2022
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
1