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Structured Denoising Diffusion Models in Discrete State-Spaces

7 July 2021

Papers citing "Structured Denoising Diffusion Models in Discrete State-Spaces"

50 / 648 papers shown

Title
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Zehao Wang Arnaud Doucet Michalis K. Titsias DiffM 208 105 0 17 Jan 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 147 31 0 17 Jan 2025
Conditional Diffusion Model for Electrical Impedance Tomography Duanpeng Shi Wendong Zheng Di Guo Huaping Liu DiffM MedIm 407 2 0 10 Jan 2025
DiffGraph: Heterogeneous Graph Diffusion Model Zongwei Li Lianghao Xia Hua Hua Shijie Zhang Shuangyang Wang Chenyu Huang 73 3 0 04 Jan 2025
Graph Generative Pre-trained Transformer Xiaohui Chen Yinkai Wang Jiaxing He Yuanqi Du S. Hassoun Xiaolin Xu Li Liu 130 2 0 02 Jan 2025
DreamOmni: Unified Image Generation and Editing Bin Xia Yuechen Zhang Jingyao Li Chengyao Wang Yitong Wang Xinglong Wu Bei Yu Jiaya Jia SyDa MLLM 132 5 0 22 Dec 2024
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference Sebastian Salazar Michal Kucer Yixin Wang Emily Casleton David Blei DiffM 147 0 0 17 Dec 2024
Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models Xiaochen Zhu Georgi Karadzhov Chenxi Whitehouse Andreas Vlachos DiffM 179 1 0 15 Dec 2024
[MASK] is All You Need Vincent Tao Hu Bjorn Ommer DiffM 214 5 0 09 Dec 2024
Generative modeling assisted simulation of measurement-altered quantum criticality Yuchen Zhu Molei Tao Yuebo Jin Xie Chen 103 1 0 02 Dec 2024
DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation Zhaoxing Gan Guangnan Ye DiffM 110 0 0 30 Nov 2024
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Shijie Zhou Huaisheng Zhu Rohan Sharma Ruiyi Zhang Kaiyi Ji Kaiyi Ji Changyou Chen 69 0 0 15 Nov 2024
Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen? Yongsheng Mei Liangqi Yuan Dong-Jun Han Kevin S. Chan Christopher G. Brinton Tian-Shing Lan 90 0 0 10 Nov 2024
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges Yiheng Zhu Jialu Wu Yue Liu Jiahuan Yan Mingze Yin Wei Wu Mingyang Li Jieping Ye Zehua Wang Jian Wu 82 8 0 04 Nov 2024
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 83 2 0 04 Nov 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model Wenjia Xie Hao Wang Lefei Zhang Rui Zhou Defu Lian Enhong Chen DiffM 128 4 0 31 Oct 2024
Discrete Modeling via Boundary Conditional Diffusion Processes Yuxuan Gu Xiaocheng Feng Lei Huang Yingsheng Wu Zekun Zhou Weihong Zhong Kun Zhu Bing Qin DiffM 62 0 0 29 Oct 2024
Absorb & Escape: Overcoming Single Model Limitations in Generating Genomic Sequences Zehui Li Yuhao Ni Guoxuan Xia W. Beardall Akashaditya Das Guy-Bart Stan Yiren Zhao 61 0 0 28 Oct 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Justin Deschenaux Çağlar Gülçehre 126 5 0 28 Oct 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 117 19 0 28 Oct 2024
TabDiff: a Multi-Modal Diffusion Model for Tabular Data Generation Juntong Shi Minkai Xu Harper Hua Hengrui Zhang Stefano Ermon J. Leskovec DiffM 32 1 0 27 Oct 2024
Scaling up Masked Diffusion Models on Text Shen Nie Fengqi Zhu Chao Du Tianyu Pang Qian Liu Guangtao Zeng Min Lin Chongxuan Li AI4CE 206 30 0 24 Oct 2024
Structure Language Models for Protein Conformation Generation Jiarui Lu Xiaoyin Chen Stephen Zhewen Lu Chence Shi Hongyu Guo Yoshua Bengio Xiangbo Shu DiffM 102 5 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 Dianbo Sui AI4CE 136 27 0 23 Oct 2024
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model Haoye Chai Shiyuan Zhang Xiaoqian Qi Yong Li 169 1 0 20 Oct 2024
Synergistic Dual Spatial-aware Generation of Image-to-Text and Text-to-Image Yu Zhao Hao Fei Xiangtai Li L. Qin Jiayi Ji Erik Cambria Meishan Zhang Hao Fei Jianguo Wei DiffM 98 1 0 20 Oct 2024
FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputation Shaokang Cheng Nada Osman Shiru Qu Lamberto Ballan DiffM 46 1 0 20 Oct 2024
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning Jiacheng Ye Jiahui Gao Shansan Gong Lin Zheng Xin Jiang Zhiyu Li Dianbo Sui DiffM LRM 178 25 0 18 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 103 0 0 18 Oct 2024
DPLM-2: A Multimodal Diffusion Protein Language Model Xinze Wang Zaixiang Zheng Fei Ye Dongyu Xue Shujian Huang Quanquan Gu 79 20 0 17 Oct 2024
Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration Yun-Yen Chuang Hung-Min Hsu Kevin Lin Chen-Sheng Gu Ling Zhen Li Ray-I Chang Hung-yi Lee DiffM VLM 66 1 0 17 Oct 2024
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance Jiwan Hur Dong-Jae Lee Gyojin Han Jaehyun Choi Yunho Jeon Junmo Kim DiffM 99 0 0 17 Oct 2024
Probing the Latent Hierarchical Structure of Data via Diffusion Models Antonio Sclocchi Alessandro Favero Noam Itzhak Levi Matthieu Wyart DiffM 121 5 0 17 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 124 17 0 17 Oct 2024
On the Relation Between Linear Diffusion and Power Iteration Dana Weitzner M. Delbracio P. Milanfar Raja Giryes DiffM 80 0 0 16 Oct 2024
A distance function for stochastic matrices Antony Lee Peter Tino Iain Bruce Styles 63 0 0 16 Oct 2024
SF-Speech: Straightened Flow for Zero-Shot Voice Clone Xuyuan Li Zengqiang Shang Hua Hua Peiyang Shi Chen Yang Li Wang Pengyuan Zhang 151 3 0 16 Oct 2024
COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement Yuxi Xie Anirudh Goyal Xiaobao Wu Xunjian Yin Xiao Xu Min-Yen Kan Liangming Pan William Yang Wang LRM 358 1 0 12 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations Satoshi Hayakawa Yuhta Takida Masaaki Imaizumi Hiromi Wakaki Yuki Mitsufuji DiffM 168 4 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 108 12 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 93 7 0 10 Oct 2024
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models Xiaoxiao He Ligong Han Quan Dao Song Wen Minhao Bai ... Hongdong Li Junzhou Huang Faez Ahmed Akash Srivastava Dimitris Metaxas DiffM SyDa 157 5 0 10 Oct 2024
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving Naoki Murata Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka Bac Nguyen Stefano Ermon Yuki Mitsufuji DiffM 104 2 0 09 Oct 2024
PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling Junchao Gong Siwei Tu Weidong Yang Ben Fei Kun Chen Wenlong Zhang Xiaokang Yang Wanli Ouyang Lei Bai DiffM 65 3 0 08 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 146 11 0 08 Oct 2024
ACDC: Autoregressive Coherent Multimodal Generation using Diffusion Correction Hyungjin Chung Dohun Lee Jong Chul Ye VGen DiffM 63 2 0 07 Oct 2024
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning Gang Liu Michael Sun Wojciech Matusik Meng Jiang Jie Chen 126 9 0 05 Oct 2024
ECHOPulse: ECG controlled echocardio-grams video generation Yiwei Li Sekeun Kim Zihao Wu Hanqi Jiang Yi Pan ... Sifan Song Yucheng Shi Tianming Liu Quanzheng Li Xiang Li VGen 62 1 0 04 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 111 9 0 04 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Zikun Zhang Zixiang Chen Quanquan Gu DiffM 156 5 0 03 Oct 2024