Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2211.15089
Cited By
Continuous diffusion for categorical data
28 November 2022
Sander Dieleman
Laurent Sartran
Arman Roshannai
Nikolay Savinov
Yaroslav Ganin
Pierre Harvey Richemond
Arnaud Doucet
Robin Strudel
Chris Dyer
Conor Durkan
Curtis Hawthorne
Rémi Leblond
Will Grathwohl
J. Adler
DiffM
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Continuous diffusion for categorical data"
30 / 30 papers shown
Title
Entropic Time Schedulers for Generative Diffusion Models
Dejan Stancevic
Luca Ambrogioni
DiffM
OOD
38
0
0
18 Apr 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
67
4
0
12 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
100
14
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
48
0
0
13 Feb 2025
Simplified and Generalized Masked Diffusion for Discrete Data
Jiaxin Shi
Kehang Han
Z. Wang
Arnaud Doucet
Michalis K. Titsias
DiffM
74
62
0
17 Jan 2025
Energy-Based Diffusion Language Models for Text Generation
Minkai Xu
Tomas Geffner
Karsten Kreis
Weili Nie
Yilun Xu
J. Leskovec
Stefano Ermon
Arash Vahdat
DiffM
44
7
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
45
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
70
15
0
23 Oct 2024
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
Jiacheng Ye
Jiahui Gao
Shansan Gong
Lin Zheng
Xin Jiang
Z. Li
Lingpeng Kong
DiffM
LRM
42
15
0
18 Oct 2024
Discrete Copula Diffusion
Anji Liu
Oliver Broadrick
Mathias Niepert
Guy Van den Broeck
DiffM
59
4
0
02 Oct 2024
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Hunter Nisonoff
Junhao Xiong
Stephan Allenspach
Jennifer Listgarten
55
31
0
03 Jun 2024
Amortizing intractable inference in diffusion models for vision, language, and control
S. Venkatraman
Moksh Jain
Luca Scimeca
Minsu Kim
Marcin Sendera
...
Alexandre Adam
Jarrid Rector-Brooks
Yoshua Bengio
Glen Berseth
Nikolay Malkin
60
24
0
31 May 2024
Glauber Generative Model: Discrete Diffusion Models via Binary Classification
Harshit Varma
Dheeraj M. Nagaraj
Karthikeyan Shanmugam
VLM
62
2
0
27 May 2024
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
Continuous Diffusion for Mixed-Type Tabular Data
Markus Mueller
Kathrin Gruber
Dennis Fok
DiffM
53
5
0
16 Dec 2023
Closed-Form Diffusion Models
Christopher Scarvelis
Haitz Sáez de Ocáriz Borde
Justin Solomon
DiffM
90
9
0
19 Oct 2023
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Jiasheng Ye
Zaixiang Zheng
Yu Bao
Lihua Qian
Quanquan Gu
DiffM
52
14
0
23 Aug 2023
Likelihood-Based Diffusion Language Models
Ishaan Gulrajani
Tatsunori B. Hashimoto
DiffM
18
51
0
30 May 2023
TESS: Text-to-Text Self-Conditioned Simplex Diffusion
Rabeeh Karimi Mahabadi
Hamish Ivison
Jaesung Tae
James Henderson
Iz Beltagy
Matthew E. Peters
Arman Cohan
24
20
0
15 May 2023
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise
Jiaao Chen
Aston Zhang
Mu Li
Alexander J. Smola
Diyi Yang
DiffM
24
17
0
10 Apr 2023
Reflected Diffusion Models
Aaron Lou
Stefano Ermon
22
49
0
10 Apr 2023
Learning Gradually Non-convex Image Priors Using Score Matching
Erich Kobler
T. Pock
38
3
0
21 Feb 2023
A Reparameterized Discrete Diffusion Model for Text Generation
Lin Zheng
Jianbo Yuan
Lei Yu
Lingpeng Kong
DiffM
23
57
0
11 Feb 2023
Latent Diffusion for Language Generation
Justin Lovelace
Varsha Kishore
Chao-gang Wan
Eliot Shekhtman
Kilian Q. Weinberger
DiffM
19
71
0
19 Dec 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data
Chenlin Meng
Kristy Choi
Jiaming Song
Stefano Ermon
DiffM
192
53
0
02 Nov 2022
DiffusER: Discrete Diffusion via Edit-based Reconstruction
Machel Reid
Vincent J. Hellendoorn
Graham Neubig
DiffM
43
39
0
30 Oct 2022
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
183
134
0
30 May 2022
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
171
772
0
27 May 2022
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
325
1,586
0
10 Nov 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
202
394
0
10 Feb 2021
1