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Beta Diffusion
v1v2v3v4 (latest)

Beta Diffusion

Neural Information Processing Systems (NeurIPS), 2023
14 September 2023
Mingyuan Zhou
Tianqi Chen
Zhendong Wang
Huangjie Zheng
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Beta Diffusion"

13 / 13 papers shown
Title
Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
Huangjie Zheng
Shansan Gong
Ruixiang Zhang
Tianrong Chen
Jiatao Gu
Mingyuan Zhou
Navdeep Jaitly
Y. Zhang
DiffM
267
4
0
01 Oct 2025
Score Distillation of Flow Matching Models
Score Distillation of Flow Matching Models
Mingyuan Zhou
Yi Gu
Huangjie Zheng
Liangchen Song
Guande He
Y. Zhang
Wenze Hu
Yinfei Yang
DiffM
145
0
0
29 Sep 2025
Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularization
Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularization
Jonathan R. Landers
99
0
0
31 Jul 2025
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
Sagnik Bhattacharya
Abhiram Gorle
Ahmed Mohsin
Ahsan Bilal
Connor Ding
Amit Kumar Singh Yadav
DiffM
532
1
0
08 May 2025
Marked Temporal Bayesian Flow Point Processes
Marked Temporal Bayesian Flow Point Processes
Hui Chen
Xuhui Fan
Hengyu Liu
Longbing Cao
AI4TS
115
0
0
25 Oct 2024
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein DesignInternational Conference on Learning Representations (ICLR), 2024
Chenyu Wang
Masatoshi Uehara
Yichun He
Amy Wang
Tommaso Biancalani
Avantika Lal
Tommi Jaakkola
Sergey Levine
Hanchen Wang
Aviv Regev
269
39
0
17 Oct 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024
Tianqi Chen
Shujian Zhang
Mingyuan Zhou
DiffM
406
16
0
17 Sep 2024
Advancing Graph Generation through Beta Diffusion
Advancing Graph Generation through Beta Diffusion
Yilin He
Xinyang Liu
Bo Chen
Mingyuan Zhou
DiffM
164
3
0
13 Jun 2024
Diffusion-RPO: Aligning Diffusion Models through Relative Preference
  Optimization
Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization
Yi Gu
Zhendong Wang
Yueqin Yin
Yujia Xie
Mingyuan Zhou
200
29
0
10 Jun 2024
ParamReL: Learning Parameter Space Representation via Progressively
  Encoding Bayesian Flow Networks
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks
Zhangkai Wu
Xuhui Fan
Jin Li
Zhilin Zhao
Hui Chen
LongBing Cao
233
4
0
24 May 2024
Improving In-Context Learning in Diffusion Models with Visual
  Context-Modulated Prompts
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts
Tianqi Chen
Yongfei Liu
Zhendong Wang
Jianbo Yuan
Quanzeng You
Hongxia Yang
Mingyuan Zhou
VLM
194
6
0
03 Dec 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion ModelingInternational Conference on Learning Representations (ICLR), 2023
Huangjie Zheng
Zhendong Wang
Jianbo Yuan
Guanghan Ning
Pengcheng He
Quanzeng You
Hongxia Yang
Mingyuan Zhou
271
16
0
10 Oct 2023
InstaFlow: One Step is Enough for High-Quality Diffusion-Based
  Text-to-Image Generation
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image GenerationInternational Conference on Learning Representations (ICLR), 2023
Xingchao Liu
Xiwen Zhang
Jianzhu Ma
Jian Peng
Qiang Liu
491
303
0
12 Sep 2023
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