Unlocking Guidance for Discrete State-Space Diffusion and Flow Models

3 June 2024

Papers citing "Unlocking Guidance for Discrete State-Space Diffusion and Flow Models"

30 / 30 papers shown

Title
Guide your favorite protein sequence generative model Junhao Xiong Hunter Nisonoff Ishan Gaur Jennifer Listgarten DiffM 40 0 0 07 May 2025
DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Hao Luan See-Kiong Ng Chun Kai Ling 46 0 0 29 Apr 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 30 0 0 23 Apr 2025
Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation Sophia Tang Yinuo Zhang Alexander Tong Pranam Chatterjee 39 1 0 21 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 58 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
Dynamic Search for Inference-Time Alignment in Diffusion Models Xiner Li Masatoshi Uehara Xingyu Su Gabriele Scalia Tommaso Biancalani Aviv Regev Sergey Levine Shuiwang Ji 42 0 0 03 Mar 2025
Split Gibbs Discrete Diffusion Posterior Sampling Wenda Chu Yang Song Yisong Yue 24 1 0 03 Mar 2025
Remasking Discrete Diffusion Models with Inference-Time Scaling Guanghan Wang Yair Schiff S. Sahoo Volodymyr Kuleshov DiffM 37 2 0 01 Mar 2025
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design Masatoshi Uehara Xingyu Su Yulai Zhao Xiner Li Aviv Regev Shuiwang Ji Sergey Levine Tommaso Biancalani 37 1 0 20 Feb 2025
FragFM: Efficient Fragment-Based Molecular Generation via Discrete Flow Matching Joongwon Lee Seonghwan Kim Wou Youn Kim 34 0 0 19 Feb 2025
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods Oussama Zekri Nicolas Boullé DiffM 47 2 0 03 Feb 2025
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Z. Wang Arnaud Doucet Michalis K. Titsias DiffM 70 61 0 17 Jan 2025
Diffusion Twigs with Loop Guidance for Conditional Graph Generation Giangiacomo Mercatali Yogesh Verma André Freitas Vikas K. Garg 24 3 0 31 Oct 2024
Reinforcement learning on structure-conditioned categorical diffusion for protein inverse folding Yasha Ektefaie Olivia Viessmann Siddharth Narayanan Drew Dresser J. Mark Kim Armen Mkrtchyan 24 0 0 22 Oct 2024
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 41 8 0 17 Oct 2024
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction Jarrid Rector-Brooks Mohsin Hasan Zhangzhi Peng Zachary Quinn Chenghao Liu ... Michael Bronstein Yoshua Bengio Pranam Chatterjee Alexander Tong Avishek Joey Bose DiffM 37 4 0 10 Oct 2024
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving Naoki Murata Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka Bac Nguyen Stefano Ermon Yuki Mitsufuji DiffM 51 1 0 09 Oct 2024
Conditional Enzyme Generation Using Protein Language Models with Adapters Jason Yang Aadyot Bhatnagar Jeffrey A. Ruffolo Ali Madani 21 4 0 04 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework Yinuo Ren Haoxuan Chen Grant M. Rotskoff Lexing Ying 33 3 0 04 Oct 2024
Plug-and-Play Controllable Generation for Discrete Masked Models Wei Guo Yuchen Zhu Molei Tao Yongxin Chen 32 1 0 03 Oct 2024
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding Xiner Li Yulai Zhao Chenyu Wang Gabriele Scalia Gökçen Eraslan Surag Nair Tommaso Biancalani Aviv Regev Sergey Levine Masatoshi Uehara 44 22 0 15 Aug 2024
Discrete generative diffusion models without stochastic differential equations: a tensor network approach Luke Causer Grant M. Rotskoff J. P. Garrahan DiffM 24 2 0 15 Jul 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design Hannes Stärk Bowen Jing Chenyu Wang Gabriele Corso Bonnie Berger Regina Barzilay Tommi Jaakkola BDL 36 45 0 08 Feb 2024
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design Andrew Campbell Jason Yim Regina Barzilay Tom Rainforth Tommi Jaakkola AI4CE 60 96 0 07 Feb 2024
Concrete Score Matching: Generalized Score Matching for Discrete Data Chenlin Meng Kristy Choi Jiaming Song Stefano Ermon DiffM 175 53 0 02 Nov 2022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 130 399 0 04 Oct 2022
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 172 132 0 30 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 163 768 0 27 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