Discrete Flow Matching

22 July 2024

Yossi Adi

Papers citing "Discrete Flow Matching"

26 / 26 papers shown

Title
Guide your favorite protein sequence generative model Junhao Xiong Hunter Nisonoff Ishan Gaur Jennifer Listgarten DiffM 48 0 0 07 May 2025
FLOWR: Flow Matching for Structure-Aware De Novo, Interaction- and Fragment-Based Ligand Generation Julian Cremer Ross Irwin Alessandro Tibot J. Janet Simon Olsson Djork-Arné Clevert 29 0 0 14 Apr 2025
Effective and Efficient Masked Image Generation Models Zebin You Jingyang Ou Xiaolu Zhang Jun Hu Jun Zhou Chongxuan Li DiffM VLM 54 1 0 10 Mar 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms Jiaming Song Linqi Zhou DiffM 59 0 0 10 Mar 2025
FuncGenFoil: Airfoil Generation and Editing Model in Function Space Jinouwen Zhang Junjie Ren A. Yang Yan Lu Lu Chen Hairun Xie Jing Wang Miao Zhang W. Ouyang Shixiang Tang 79 0 0 15 Feb 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 98 12 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
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 39 0 0 03 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
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 39 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
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models Xiaoxiao He Ligong Han Quan Dao Song Wen Minhao Bai ... Hongdong Li Junzhou Huang Faez Ahmed Akash Srivastava Dimitris Metaxas DiffM SyDa 38 4 0 10 Oct 2024
Think While You Generate: Discrete Diffusion with Planned Denoising Sulin Liu Juno Nam Andrew Campbell Hannes Stärk Yilun Xu Tommi Jaakkola Rafael Gómez-Bombarelli DiffM 33 6 0 08 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting S. H. Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 42 1 0 04 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
Categorical Flow Matching on Statistical Manifolds Chaoran Cheng Jiahan Li Jian-wei Peng Ge Liu 56 10 0 26 May 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 42 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
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets A. Blattmann Tim Dockhorn Sumith Kulal Daniel Mendelevitch Maciej Kilian ... Zion English Vikram S. Voleti Adam Letts Varun Jampani Robin Rombach VGen 150 985 0 25 Nov 2023
A Pytorch Reproduction of Masked Generative Image Transformer Victor Besnier Mickael Chen ViT 46 12 0 22 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 50 14 0 23 Aug 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings Aram-Alexandre Pooladian Heli Ben-Hamu Carles Domingo-Enrich Brandon Amos Y. Lipman Ricky T. Q. Chen 60 125 0 28 Apr 2023
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang Han Zhang Jarred Barber AJ Maschinot José Lezama ... Kevin Patrick Murphy William T. Freeman Michael Rubinstein Yuanzhen Li Dilip Krishnan DiffM 197 515 0 02 Jan 2023
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 183 132 0 30 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 171 768 0 27 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