Autoregressive Diffusion Models

5 October 2021

Papers citing "Autoregressive Diffusion Models"

42 / 42 papers shown

Title
Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions Dhruvesh Patel Aishwarya Sahoo Avinash Amballa Tahira Naseem Tim G. J. Rudner Andrew McCallum KELM 47 0 0 09 May 2025
Guide your favorite protein sequence generative model Junhao Xiong Hunter Nisonoff Ishan Gaur Jennifer Listgarten DiffM 56 0 0 07 May 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 72 5 0 12 Mar 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 110 15 0 14 Feb 2025
Rolling Ahead Diffusion for Traffic Scene Simulation Yunpeng Liu Matthew Niedoba William Harvey Adam Scibior Berend Zwartsenberg Frank D. Wood 69 0 0 13 Feb 2025
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Z. Wang Arnaud Doucet Michalis K. Titsias DiffM 79 62 0 17 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 54 2 0 13 Jan 2025
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Mufei Li Viraj Shitole Eli Chien Changhai Man Zhaodong Wang Srinivas Sridharan Ying Zhang Tushar Krishna P. Li 37 0 0 04 Nov 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 46 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 50 13 0 24 Oct 2024
Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gong Shivam Agarwal Yizhe Zhang Jiacheng Ye Lin Zheng ... Peilin Zhao W. Bi Jiawei Han Hao Peng Lingpeng Kong AI4CE 75 15 0 23 Oct 2024
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning Jiacheng Ye Jiahui Gao Shansan Gong Lin Zheng Xin Jiang Z. Li Lingpeng Kong DiffM LRM 48 15 0 18 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 47 3 0 04 Oct 2024
BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation Seyed Rohollah Hosseyni Ali Ahmad Rahmani S. J. Seyedmohammadi Sanaz Seyedin Arash Mohammadi DiffM 42 7 0 17 Sep 2024
Informed Correctors for Discrete Diffusion Models Yixiu Zhao Jiaxin Shi Lester W. Mackey Scott W. Linderman Lester Mackey Scott Linderman 46 9 0 30 Jul 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 29 0 06 Jun 2024
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models Hunter Nisonoff Junhao Xiong Stephan Allenspach Jennifer Listgarten 57 31 0 03 Jun 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation Lingxiao Zhao Xueying Ding L. Akoglu DiffM 23 8 0 06 Feb 2024
4M: Massively Multimodal Masked Modeling David Mizrahi Roman Bachmann Ouguzhan Fatih Kar Teresa Yeo Mingfei Gao Afshin Dehghan Amir Zamir MLLM 44 63 0 11 Dec 2023
Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent Junfeng Liu Zhuocheng Mei Kewen Peng R. Vatsavai 14 1 0 01 Dec 2023
DiffCap: Exploring Continuous Diffusion on Image Captioning Yufeng He Zefan Cai Xu Gan Baobao Chang DiffM 21 5 0 20 May 2023
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise Jiaao Chen Aston Zhang Mu Li Alexander J. Smola Diyi Yang DiffM 29 17 0 10 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 24 50 0 10 Apr 2023
A Reparameterized Discrete Diffusion Model for Text Generation Lin Zheng Jianbo Yuan Lei Yu Lingpeng Kong DiffM 36 57 0 11 Feb 2023
Latent Diffusion for Language Generation Justin Lovelace Varsha Kishore Chao-gang Wan Eliot Shekhtman Kilian Q. Weinberger DiffM 24 71 0 19 Dec 2022
Denoising Diffusion for Sampling SAT Solutions Kārlis Freivalds Sergejs Kozlovics 13 2 0 30 Nov 2022
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models Zhengfu He Tianxiang Sun Kuan-Chieh Jackson Wang Xuanjing Huang Xipeng Qiu DiffM VLM 22 113 0 28 Nov 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 37 20 0 07 Nov 2022
Graphically Structured Diffusion Models Christian Weilbach William Harvey Frank D. Wood DiffM 35 7 0 20 Oct 2022
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 32 60 0 07 Oct 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 85 52 0 04 Oct 2022
Lossy Image Compression with Conditional Diffusion Models Ruihan Yang Stephan Mandt DiffM 11 125 0 14 Sep 2022
Soft Diffusion: Score Matching for General Corruptions Giannis Daras M. Delbracio Hossein Talebi A. Dimakis P. Milanfar DiffM 64 106 0 12 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,302 0 02 Sep 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models Giulio Franzese Simone Rossi Lixuan Yang A. Finamore Dario Rossi Maurizio Filippone Pietro Michiardi DiffM 13 46 0 10 Jun 2022
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 185 134 0 30 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 776 0 27 May 2022
Training and Inference on Any-Order Autoregressive Models the Right Way Andy Shih Dorsa Sadigh Stefano Ermon BDL TPM OOD CML 29 23 0 26 May 2022
Improving Source Separation by Explicitly Modeling Dependencies Between Sources Ethan Manilow Curtis Hawthorne Cheng-Zhi Anna Huang Bryan Pardo Jesse Engel BDL 28 7 0 28 Mar 2022
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models Daniel D. Johnson Jacob Austin Rianne van den Berg Daniel Tarlow DiffM 178 18 0 16 Jul 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 207 394 0 10 Feb 2021
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016