Structured Denoising Diffusion Models in Discrete State-Spaces

7 July 2021

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

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Title
A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery Yiheng Zhu Mingyang Li Junlong Liu Kun Fu Jian Wu Yue Liu Mingze Yin Jieping Ye Jian Wu Zehua Wang 62 0 0 06 Mar 2025
Split Gibbs Discrete Diffusion Posterior Sampling Wenda Chu Yang Song Yisong Yue 37 1 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 Xuan Li Jun Zhu Qinsheng Zhang DiffM 49 0 0 03 Mar 2025
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution Xingyuan Li Z. Wang Yang Zou Zhaoyu Chen Jun Ma Zhiying Jiang Long Ma Jinyuan Liu 78 1 0 03 Mar 2025
Molecule Generation for Target Protein Binding with Hierarchical Consistency Diffusion Model Bernard Ghanem Chenran Jiang Ziqi Gao Yu Liu Chenyang Liu Jiean Chen Yong Huang Jia Li 46 0 0 02 Mar 2025
A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning Shashank Gupta Chaitanya Ahuja Tsung-Yu Lin Sreya Dutta Roy Harrie Oosterhuis Maarten de Rijke Satya Narayan Shukla 46 1 0 02 Mar 2025
AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models Sohan Patnaik Rishabh Jain Balaji Krishnamurthy Mausoom Sarkar 34 0 0 01 Mar 2025
Periodic Materials Generation using Text-Guided Joint Diffusion Model Kishalay Das Subhojyoti Khastagir Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly DiffM 34 0 0 01 Mar 2025
Remasking Discrete Diffusion Models with Inference-Time Scaling Guanghan Wang Yair Schiff S. Sahoo Volodymyr Kuleshov DiffM 43 2 0 01 Mar 2025
Implicit Search via Discrete Diffusion: A Study on Chess Jiacheng Ye Zhenyu Wu Jiahui Gao Zhiyong Wu Xin Jiang Zeju Li Lingpeng Kong DiffM 50 2 0 27 Feb 2025
EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models Che Hyun Lee Heeseung Kim Jiheum Yeom Sungroh Yoon DiffM 59 0 0 27 Feb 2025
A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models Vu Tuan Truong Long Bao Le DiffM AAML 201 0 0 26 Feb 2025
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators Alberto Foresti Giulio Franzese Pietro Michiardi 82 0 0 26 Feb 2025
GCDance: Genre-Controlled 3D Full Body Dance Generation Driven By Music Xinran Liu Xu Dong Diptesh Kanojia Wenwu Wang Zhenhua Feng DiffM 62 0 0 25 Feb 2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions Zhong Li Qi Huang Lincen Yang Jiayang Shi Zhao Yang Niki van Stein Thomas Bäck M. Leeuwen DiffM 47 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 58 1 0 20 Feb 2025
FragFM: Efficient Fragment-Based Molecular Generation via Discrete Flow Matching Joongwon Lee Seonghwan Kim Wou Youn Kim 54 0 0 19 Feb 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling Haoyu Lei Kaiwen Zhou Y. Li Zhitang Chen Farzan Farnia DiffM 70 1 0 15 Feb 2025
Large Language Diffusion Models Shen Nie Fengqi Zhu Zebin You Xiaolu Zhang Jingyang Ou Jun Hu Jun Zhou Yankai Lin Zhicheng Dou Chongxuan Li 112 15 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 55 0 0 13 Feb 2025
UniMoD: Efficient Unified Multimodal Transformers with Mixture-of-Depths Weijia Mao Zhengyuan Yang Mike Zheng Shou MoE 78 0 0 10 Feb 2025
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo Filip Ekstrom Kelvinius Zheng Zhao Fredrik Lindsten DiffM 52 0 0 10 Feb 2025
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification Jiayi Luo Qingyun Sun Haonan Yuan Xingcheng Fu Jianxin Li DiffM AAML 81 0 0 07 Feb 2025
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models Daniel Levy Siba Smarak Panigrahi Sékou-Oumar Kaba Qiang Zhu Kin Long Kelvin Lee Mikhail Galkin Santiago Miret Siamak Ravanbakhsh 216 12 0 05 Feb 2025
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization Yang Li Jinpei Guo Runzhong Wang H. Zha Junchi Yan 63 4 0 05 Feb 2025
Blackout DIFUSCO Jun Pyo Seo 41 0 0 05 Feb 2025
Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling Markus Krimmel Jenna Wiens Karsten M. Borgwardt Dexiong Chen 91 0 0 04 Feb 2025
$Categorical Schr\"odinger Bridge Matching$ Categorical Schr\"odinger Bridge Matching Grigoriy Ksenofontov Alexander Korotin 61 0 0 03 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 83 5 0 03 Feb 2025
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods Oussama Zekri Nicolas Boullé DiffM 68 3 0 03 Feb 2025
Understanding and Mitigating the High Computational Cost in Path Data Diffusion D. Shi L. Zhang Yongxin Tong Ke Xu 55 0 0 02 Feb 2025
Regularized Langevin Dynamics for Combinatorial Optimization Shengyu Feng Yiming Yang 73 0 0 01 Feb 2025
TRADES: Generating Realistic Market Simulations with Diffusion Models Leonardo Berti Bardh Prenkaj Paola Velardi DiffM 97 1 0 31 Jan 2025
An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem Mingzhao Wang You Zhou Zhiguang Cao Yubin Xiao Xuan Wu Wei Pang Yuan Jiang Hui Yang Peng Zhao Yuanshu Li MedIm 37 1 0 23 Jan 2025
Graph Representation Learning with Diffusion Generative Models Daniel Wesego DiffM 41 0 0 22 Jan 2025
DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning Yukun Cao Lisheng Wang Luobing Huang DiffM 47 0 0 20 Jan 2025
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Zehao Wang Arnaud Doucet Michalis K. Titsias DiffM 85 62 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 63 15 0 17 Jan 2025
Conditional Diffusion Model for Electrical Impedance Tomography Duanpeng Shi Wendong Zheng Di Guo Huaping Liu DiffM MedIm 159 2 0 10 Jan 2025
DiffGraph: Heterogeneous Graph Diffusion Model Zongwei Li Lianghao Xia Hua Hua Shijie Zhang Shuangyang Wang Chenyu Huang 41 0 0 04 Jan 2025
Graph Generative Pre-trained Transformer Xiaohui Chen Yinkai Wang Jiaxing He Yuanqi Du S. Hassoun Xiaolin Xu Li Liu 43 1 0 03 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 89 3 0 22 Dec 2024
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference Sebastian Salazar Michal Kucer Yixin Wang Emily Casleton David Blei DiffM 90 0 0 17 Dec 2024
[MASK] is All You Need Vincent Tao Hu Bjorn Ommer DiffM 137 2 0 09 Dec 2024
Generative modeling assisted simulation of measurement-altered quantum criticality Yuchen Zhu Molei Tao Yuebo Jin Xie Chen 71 1 0 02 Dec 2024
DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation Zhaoxing Gan Guangnan Ye DiffM 69 0 0 30 Nov 2024
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Shijie Zhou Huaisheng Zhu Rohan Sharma R. Zhang Kaiyi Ji Changyou Chen 34 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 Brinton Tian-Shing Lan 38 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 Yu Wu Mingyang Li Jieping Ye Zehua Wang Jian Wu 41 4 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 37 0 0 04 Nov 2024