Simplified and Generalized Masked Diffusion for Discrete Data

17 January 2025

Papers citing "Simplified and Generalized Masked Diffusion for Discrete Data"

50 / 58 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 27 0 0 09 May 2025
Guide your favorite protein sequence generative model Junhao Xiong Hunter Nisonoff Ishan Gaur Jennifer Listgarten DiffM 35 0 0 07 May 2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion Ruixiang Zhang Shuangfei Zhai Yizhe Zhang James Thornton Zijing Ou Joshua M. Susskind Navdeep Jaitly DiffM 23 0 0 23 Apr 2025
$α$ -Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models Chaoran Cheng Jiahan Li Jiajun Fan Ge Liu 16 0 0 14 Apr 2025
DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation Peizhi Niu Yu-Hsiang Wang Vishal Rana Chetan Rupakheti Abhishek Pandey O. Milenkovic 21 0 0 08 Apr 2025
Unified Multimodal Discrete Diffusion Alexander Swerdlow Mihir Prabhudesai Siddharth Gandhi Deepak Pathak Katerina Fragkiadaki DiffM 58 0 0 26 Mar 2025
Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation Sophia Tang Yinuo Zhang Alexander Tong Pranam Chatterjee 34 1 0 21 Mar 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 50 3 0 12 Mar 2025
Constrained Language Generation with Discrete Diffusion Models Michael Cardei Jacob K Christopher Thomas Hartvigsen Brian Bartoldson B. Kailkhura Ferdinando Fioretto DiffM 47 0 0 12 Mar 2025
Preference-Based Alignment of Discrete Diffusion Models Umberto Borso Davide Paglieri Jude Wells Tim Rocktaschel 53 1 0 11 Mar 2025
Effective and Efficient Masked Image Generation Models Zebin You Jingyang Ou Xiaolu Zhang Jun Hu Jun Zhou Chongxuan Li DiffM VLM 49 1 0 10 Mar 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms Jiaming Song Linqi Zhou DiffM 50 0 0 10 Mar 2025
Learning-Order Autoregressive Models with Application to Molecular Graph Generation Zhe Wang Jiaxin Shi N. Heess A. Gretton Michalis K. Titsias 41 0 0 07 Mar 2025
Generalized Interpolating Discrete Diffusion Dimitri von Rutte J. Fluri Yuhui Ding Antonio Orvieto Bernhard Scholkopf Thomas Hofmann DiffM 51 0 0 06 Mar 2025
Dynamic Search for Inference-Time Alignment in Diffusion Models Xiner Li Masatoshi Uehara Xingyu Su Gabriele Scalia Tommaso Biancalani Aviv Regev Sergey Levine Shuiwang Ji 37 0 0 03 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator Kaiwen Zheng Yongxin Chen Huayu Chen Guande He Ming-Yu Liu J. Zhu Qinsheng Zhang DiffM 33 0 0 03 Mar 2025
Remasking Discrete Diffusion Models with Inference-Time Scaling Guanghan Wang Yair Schiff S. Sahoo Volodymyr Kuleshov DiffM 32 2 0 01 Mar 2025
Implicit Search via Discrete Diffusion: A Study on Chess Jiacheng Ye Zhenyu Wu Jiahui Gao Zhiyong Wu Xin Jiang Z. Li Lingpeng Kong DiffM 35 2 0 27 Feb 2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions Zhong Li Qi Huang Lincen Yang Jiayang Shi Zhao Yang N. V. Stein Thomas Bäck M. Leeuwen DiffM 32 0 0 24 Feb 2025
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design Masatoshi Uehara Xingyu Su Yulai Zhao Xiner Li Aviv Regev Shuiwang Ji Sergey Levine Tommaso Biancalani 37 1 0 20 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 68 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 36 0 0 13 Feb 2025
Scalable Language Models with Posterior Inference of Latent Thought Vectors Deqian Kong Minglu Zhao Dehong Xu Bo Pang Shu Wang ... Zhangzhang Si Chuan Li Jianwen Xie Sirui Xie Ying Nian Wu VLM LRM BDL 65 5 0 03 Feb 2025
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods Oussama Zekri Nicolas Boullé DiffM 42 2 0 03 Feb 2025
A General Framework for Inference-time Scaling and Steering of Diffusion Models R. Singhal Zachary Horvitz Ryan Teehan Mengye Ren Zhou Yu Kathleen McKeown Rajesh Ranganath DiffM 51 15 0 17 Jan 2025
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference Sebastian Salazar Michal Kucer Yixin Wang Emily Casleton David Blei DiffM 78 0 0 17 Dec 2024
[MASK] is All You Need Vincent Tao Hu Bjorn Ommer DiffM 130 2 0 09 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 31 7 0 28 Oct 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Justin Deschenaux Çağlar Gülçehre 24 2 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 23 13 0 24 Oct 2024
Structure Language Models for Protein Conformation Generation Jiarui Lu Xiaoyin Chen Stephen Zhewen Lu Chence Shi Hongyu Guo Yoshua Bengio J. Tang DiffM 20 2 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 41 14 0 23 Oct 2024
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion Bac Nguyen and Chieh-Hsin Lai Yuhta Takida Naoki Murata Toshimitsu Uesaka Stefano Ermon Yuki Mitsufuji 45 0 0 18 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 29 15 0 18 Oct 2024
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design Chenyu Wang Masatoshi Uehara Yichun He Amy Wang Tommaso Biancalani Avantika Lal Tommi Jaakkola Sergey Levine Hanchen Wang Aviv Regev 33 8 0 17 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations Satoshi Hayakawa Yuhta Takida Masaaki Imaizumi Hiromi Wakaki Yuki Mitsufuji DiffM 48 0 0 11 Oct 2024
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction Jarrid Rector-Brooks Mohsin Hasan Zhangzhi Peng Zachary Quinn Chenghao Liu ... Michael Bronstein Yoshua Bengio Pranam Chatterjee Alexander Tong Avishek Joey Bose DiffM 32 4 0 10 Oct 2024
$$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete Diffusion Models$ $\textit{Jump Your Steps}$ : Optimizing Sampling Schedule of Discrete Diffusion Models Yong-Hyun Park Chieh-Hsin Lai Satoshi Hayakawa Yuhta Takida Yuki Mitsufuji 46 3 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 18 6 0 08 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 31 3 0 04 Oct 2024
Plug-and-Play Controllable Generation for Discrete Masked Models Wei Guo Yuchen Zhu Molei Tao Yongxin Chen 24 1 0 03 Oct 2024
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups Yongxing Zhang Donglin Yang Renjie Liao DiffM 27 0 0 03 Oct 2024
Discrete Copula Diffusion Anji Liu Oliver Broadrick Mathias Niepert Guy Van den Broeck DiffM 24 4 0 02 Oct 2024
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding Xiner Li Yulai Zhao Chenyu Wang Gabriele Scalia Gökçen Eraslan Surag Nair Tommaso Biancalani Aviv Regev Sergey Levine Masatoshi Uehara 39 22 0 15 Aug 2024
Informed Correctors for Discrete Diffusion Models Yixiu Zhao Jiaxin Shi Lester W. Mackey Scott W. Linderman Lester Mackey Scott Linderman 25 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 28 27 0 06 Jun 2024
Fisher Flow Matching for Generative Modeling over Discrete Data Oscar Davis Samuel Kessler Mircea Petrache .Ismail .Ilkan Ceylan Michael M. Bronstein A. Bose 25 6 0 23 May 2024
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models Fan Bao Chendong Xiang Gang Yue Guande He Hongzhou Zhu Kaiwen Zheng Min Zhao Shilong Liu Yaole Wang Jun Zhu VGen 107 50 0 07 May 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 52 96 0 07 Feb 2024
Transfer Learning for Text Diffusion Models Kehang Han Kathleen Kenealy Aditya Barua Noah Fiedel Noah Constant VLM AI4CE 57 3 0 30 Jan 2024