Autoregressive Diffusion Models

5 October 2021

Papers citing "Autoregressive Diffusion Models"

35 / 35 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 42 0 0 09 May 2025
Guide your favorite protein sequence generative model Junhao Xiong Hunter Nisonoff Ishan Gaur Jennifer Listgarten DiffM 51 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 67 3 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 100 12 0 14 Feb 2025
Rolling Ahead Diffusion for Traffic Scene Simulation Yunpeng Liu Matthew Niedoba William Harvey Adam Scibior Berend Zwartsenberg Frank D. Wood 64 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 74 62 0 17 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 52 2 0 13 Jan 2025
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 44 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
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 70 14 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 42 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 33 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 36 5 0 17 Sep 2024
Informed Correctors for Discrete Diffusion Models Yixiu Zhao Jiaxin Shi Lester W. Mackey Scott W. Linderman Lester Mackey Scott Linderman 37 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 27 0 06 Jun 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
4M: Massively Multimodal Masked Modeling David Mizrahi Roman Bachmann Ouguzhan Fatih Kar Teresa Yeo Mingfei Gao Afshin Dehghan Amir Zamir MLLM 39 62 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 24 17 0 10 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 16 49 0 10 Apr 2023
A Reparameterized Discrete Diffusion Model for Text Generation Lin Zheng Jianbo Yuan Lei Yu Lingpeng Kong DiffM 23 57 0 11 Feb 2023
Latent Diffusion for Language Generation Justin Lovelace Varsha Kishore Chao-gang Wan Eliot Shekhtman Kilian Q. Weinberger DiffM 19 71 0 19 Dec 2022
Denoising Diffusion for Sampling SAT Solutions Kārlis Freivalds Sergejs Kozlovics 11 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 30 20 0 07 Nov 2022
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 32 59 0 07 Oct 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 83 51 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 183 134 0 30 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 171 772 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 21 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 15 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 172 18 0 16 Jul 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 394 0 10 Feb 2021
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016