Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

25 October 2023

Papers citing "Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution"

34 / 34 papers shown

Title
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models Zemin Huang Zhiyang Chen Zijun Wang Tiancheng Li Guo-Jun Qi DiffM LRM AI4CE 32 0 0 15 May 2025
Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions Dhruvesh Patel Aishwarya Sahoo Avinash Amballa Tahira Naseem Tim G. J. Rudner Andrew McCallum KELM 57 0 0 09 May 2025
Guide your favorite protein sequence generative model Junhao Xiong Hunter Nisonoff Ishan Gaur Jennifer Listgarten DiffM 61 1 0 07 May 2025
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation Hengyuan Hu Aniket Das Dorsa Sadigh Nima Anari DiffM 33 0 0 06 May 2025
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Javier E. Santos Agnese Marcato Roman Colman Nicholas Lubbers Yen Ting Lin 47 0 0 03 May 2025
DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Hao Luan See-Kiong Ng Chun Kai Ling 57 0 0 29 Apr 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models Marianne Arriola Aaron Gokaslan Justin T Chiu Zhihan Yang Zhixuan Qi Jiaqi Han Subham Sekhar Sahoo Volodymyr Kuleshov DiffM 80 6 0 12 Mar 2025
Effective and Efficient Masked Image Generation Models Zebin You Jingyang Ou Xiaolu Zhang Jun Hu Jun Zhou Chongxuan Li DiffM VLM 69 1 0 10 Mar 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms Jiaming Song Linqi Zhou DiffM 74 0 0 10 Mar 2025
Split Gibbs Discrete Diffusion Posterior Sampling Wenda Chu Zihui Wu Yifan Chen Yang Song Yisong Yue 44 2 0 03 Mar 2025
Remasking Discrete Diffusion Models with Inference-Time Scaling Guanghan Wang Yair Schiff Subham Sekhar Sahoo Volodymyr Kuleshov DiffM 48 3 0 01 Mar 2025
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators Alberto Foresti Giulio Franzese Pietro Michiardi 90 0 0 26 Feb 2025
Theoretical Benefit and Limitation of Diffusion Language Model Guhao Feng Yihan Geng Jian Guan Wei Wu Liwei Wang Di He DiffM 60 1 0 13 Feb 2025
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak Hao Wang Hao Li Junda Zhu Xinyuan Wang Changzai Pan Minlie Huang Lei Sha 195 0 0 23 Dec 2024
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference Sebastian Salazar Michal Kucer Yixin Wang Emily Casleton David Blei DiffM 98 0 0 17 Dec 2024
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Zhen Liu Tim Z. Xiao Weiyang Liu Yoshua Bengio Dinghuai Zhang 123 4 0 10 Dec 2024
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows Shufan Li Konstantinos Kallidromitis Akash Gokul Zichun Liao Yusuke Kato Kazuki Kozuka Aditya Grover VGen 105 5 0 02 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 63 9 0 28 Oct 2024
Linear Convergence of Diffusion Models Under the Manifold Hypothesis Peter Potaptchik Iskander Azangulov George Deligiannidis DiffM 52 5 0 11 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations Satoshi Hayakawa Yuhta Takida Masaaki Imaizumi Hiromi Wakaki Yuki Mitsufuji DiffM 61 1 0 11 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 52 3 0 04 Oct 2024
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups Yongxing Zhang Donglin Yang Renjie Liao DiffM 258 0 0 03 Oct 2024
Discrete Copula Diffusion Hoang Trung-Dung Oliver Broadrick Mathias Niepert Guy Van den Broeck DiffM 72 4 0 02 Oct 2024
Alignment of Diffusion Models: Fundamentals, Challenges, and Future Buhua Liu Shitong Shao Bao Li Lichen Bai Zhiqiang Xu Haoyi Xiong James Kwok Sumi Helal Zeke Xie 49 12 0 11 Sep 2024
Neural Entropy Akhil Premkumar DiffM 36 0 0 05 Sep 2024
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion Jacob K Christopher Brian Bartoldson Tal Ben-Nun Michael Cardei B. Kailkhura Ferdinando Fioretto DiffM 66 3 0 10 Aug 2024
Cometh: A continuous-time discrete-state graph diffusion model Antoine Siraudin Fragkiskos D. Malliaros Christopher Morris 41 3 0 10 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 41 30 0 06 Jun 2024
σ-GPTs: A New Approach to Autoregressive Models Arnaud Pannatier Evann Courdier Franccois Fleuret AI4TS 28 7 0 15 Apr 2024
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning Jiasheng Ye Zaixiang Zheng Yu Bao Lihua Qian Quanquan Gu DiffM 57 15 0 23 Aug 2023
Concrete Score Matching: Generalized Score Matching for Discrete Data Chenlin Meng Kristy Choi Jiaming Song Stefano Ermon DiffM 200 54 0 02 Nov 2022
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 197 137 0 30 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 785 0 27 May 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 222 402 0 10 Feb 2021