Unifying Bayesian Flow Networks and Diffusion Models through Stochastic
Differential Equations

Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

24 April 2024

Papers citing "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"

12 / 12 papers shown

Title
IgCraft: A versatile sequence generation framework for antibody discovery and engineering Matthew Greenig Haowen Zhao Vladimir Radenkovic Aubin Ramon Pietro Sormanni 42 0 0 25 Mar 2025
Straight-Line Diffusion Model for Efficient 3D Molecular Generation Yuyan Ni Shikun Feng Haohan Chi Bowen Zheng Huan-ang Gao Wei-Ying Ma Zhi-Ming Ma Yanyan Lan DiffM 68 2 0 04 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 90 12 0 14 Feb 2025
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Z. Wang Arnaud Doucet Michalis K. Titsias DiffM 74 61 0 17 Jan 2025
Bayesian Flow Is All You Need to Sample Out-of-Distribution Chemical Spaces Nianze Tao OOD OODD BDL 95 0 0 16 Dec 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 40 13 0 24 Oct 2024
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model Min Zhao Hongzhou Zhu Chendong Xiang Kaiwen Zheng Chongxuan Li Jun Zhu 61 8 0 22 Jun 2024
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data Jingyang Ou Shen Nie Kaiwen Xue Fengqi Zhu Jiacheng Sun Zhenguo Li Chongxuan Li DiffM 36 27 0 06 Jun 2024
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks Zhangkai Wu Xuhui Fan Jin Li Zhilin Zhao Hui Chen LongBing Cao 36 2 0 24 May 2024
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 191 147 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 175 132 0 30 May 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 392 0 10 Feb 2021