Concrete Score Matching: Generalized Score Matching for Discrete Data
Chenlin Meng, Kristy Choi, Jiaming Song, Stefano Ermon
NeurIPS 2022. [Paper]
2 Nov 2022
Score-based Continuous-time Discrete Diffusion Models
Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai
ICLR 2023. [Paper]
30 Nov 2022
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
Aaron Lou, Chenlin Meng, Stefano Ermon
ICML 2024. [Paper]
25 Oct 2023
Discrete Copula Diffusion
Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck
Arxiv 2024. [Paper]
2 Oct 2024
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg
NeurIPS 2021. [Paper]
7 Jul 2021
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet
NeurIPS 2022. [Paper]
30 May 2022
From Denoising Diffusions to Denoising Markov Models
Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
Arxiv 2022. [Paper]
7 Nov 2022
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
ICML 2024. [Paper]
7 Feb 2024
Discrete Flow Matching
Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen, Gabriel Synnaeve, Yossi Adi, Yaron Lipman
Arxiv 2024. [Paper]
22 Jul 2024
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto
NeurIPS 2022. [Paper]
27 May 2022
Self-conditioned Embedding Diffusion for Text Generation
Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond
Arxiv 2022. [Paper]
8 Nov 2022
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Ting Chen, Ruixiang Zhang, Geoffrey Hinton
ICLR 2023. [Paper]
8 Aug 2022
Likelihood-Based Diffusion Language Models
Ishaan Gulrajani, Tatsunori B. Hashimoto
NeurIPS 2023. [Paper]
30 May 2023
Dirichlet Flow Matching with Applications to DNA Sequence Design
Hannes Stark, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi Jaakkola
ICML 2024. [Paper]
8 Feb 2024