Beta Diffusion

Beta Diffusion

14 September 2023

Mingyuan Zhou

Huangjie Zheng

Papers citing "Beta Diffusion"

11 / 11 papers shown

Title
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design Chenyu Wang Masatoshi Uehara Yichun He Amy Wang Tommaso Biancalani Avantika Lal Tommi Jaakkola Sergey Levine Hanchen Wang Aviv Regev 48 8 0 17 Oct 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 66 3 0 17 Sep 2024
Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization Yi Gu Zhendong Wang Yueqin Yin Yujia Xie Mingyuan Zhou 24 15 0 10 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
In-Context Learning Unlocked for Diffusion Models Zhendong Wang Yifan Jiang Yadong Lu Yelong Shen Pengcheng He Weizhu Chen Zhangyang Wang Mingyuan Zhou VLM DiffM 86 68 0 01 May 2023
Soft Diffusion: Score Matching for General Corruptions Giannis Daras M. Delbracio Hossein Talebi A. Dimakis P. Milanfar DiffM 55 105 0 12 Sep 2022
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
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 622 0 20 May 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 209 163 0 06 Feb 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
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 184 256 0 07 Jan 2021