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Structured Denoising Diffusion Models in Discrete State-Spaces
v1v2v3 (latest)

Structured Denoising Diffusion Models in Discrete State-Spaces

7 July 2021
Jacob Austin
Daniel D. Johnson
Jonathan Ho
Daniel Tarlow
Rianne van den Berg
    DiffM
ArXiv (abs)PDFHTML

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

50 / 648 papers shown
Title
Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning
Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning
Chuangtao Chen
Qinglin Zhao
Mengchu Zhou
Dusit Niyato
Zhimin He
Haozhen Situ
DiffM
229
0
0
01 Jul 2025
Generating Directed Graphs with Dual Attention and Asymmetric Encoding
Generating Directed Graphs with Dual Attention and Asymmetric Encoding
Alba Carballo-Castro
Manuel Madeira
Yiming Qin
D. Thanou
Pascal Frossard
7
0
0
19 Jun 2025
Echo-DND: A dual noise diffusion model for robust and precise left ventricle segmentation in echocardiography
Echo-DND: A dual noise diffusion model for robust and precise left ventricle segmentation in echocardiography
Abdur Rahman
Keerthiveena Balraj
Manojkumar Ramteke
Anurag Singh Rathore
DiffMMedIm
15
0
0
18 Jun 2025
Flexible-length Text Infilling for Discrete Diffusion Models
Flexible-length Text Infilling for Discrete Diffusion Models
Andrew Zhang
Anushka Sivakumar
Chiawei Tang
Chris Thomas
DiffM
14
0
0
16 Jun 2025
Discrete Diffusion in Large Language and Multimodal Models: A Survey
Discrete Diffusion in Large Language and Multimodal Models: A Survey
Runpeng Yu
Qi Li
Xinchao Wang
DiffMAI4CE
18
0
0
16 Jun 2025
Scaling Probabilistic Circuits via Monarch Matrices
Scaling Probabilistic Circuits via Monarch Matrices
Honghua Zhang
Meihua Dang
Benjie Wang
Stefano Ermon
Nanyun Peng
Guy Van den Broeck
TPMMoE
28
2
0
14 Jun 2025
PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design
PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design
Zhenqiao Song
Tiaoxiao Li
Lei Li
Martin Renqiang Min
10
0
0
13 Jun 2025
Generative or Discriminative? Revisiting Text Classification in the Era of Transformers
Generative or Discriminative? Revisiting Text Classification in the Era of Transformers
Siva Rajesh Kasa
Karan Gupta
Sumegh Roychowdhury
Ashutosh Kumar
Yaswanth Biruduraju
Santhosh Kumar Kasa
Nikhil Pattisapu
Arindam Bhattacharya
Shailendra Agarwal
Vijay huddar
7
0
0
13 Jun 2025
A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models
A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models
Yu Zhang
Yang Hu
D. B. Wang
LRM
97
0
0
12 Jun 2025
Build the web for agents, not agents for the web
Build the web for agents, not agents for the web
Xing Han Lù
Gaurav Kamath
Marius Mosbach
Siva Reddy
LLMAGLM&Ro
115
0
0
12 Jun 2025
The Diffusion Duality
The Diffusion Duality
Subham S. Sahoo
Justin Deschenaux
Aaron Gokaslan
Guanghan Wang
Justin T Chiu
Volodymyr Kuleshov
DiffM
123
4
0
12 Jun 2025
Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement
Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement
Yuqi Shen
Fengyang Xiao
Sujie Hu
Youwei Pang
Yifan Pu
Chengyu Fang
Xiu Li
Chunming He
94
0
0
12 Jun 2025
Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning
Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning
Jiajin Liu
Dongzhe Fan
Jiacheng Shen
Chuanhao Ji
Daochen Zha
Qiaoyu Tan
113
0
0
12 Jun 2025
Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment
Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment
Yuhui Ding
Thomas Hofmann
DiffMBDL
68
0
0
11 Jun 2025
EnerBridge-DPO: Energy-Guided Protein Inverse Folding with Markov Bridges and Direct Preference Optimization
EnerBridge-DPO: Energy-Guided Protein Inverse Folding with Markov Bridges and Direct Preference Optimization
Dingyi Rong
Haotian Lu
Wenzhuo Zheng
Fan Zhang
Shuangjia Zheng
Ning Liu
49
0
0
11 Jun 2025
Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation
Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation
Xinyu Yang
Yuwei An
Hongyi Liu
Tianqi Chen
Beidi Chen
SyDaLRM
120
0
0
11 Jun 2025
Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion
Alan Nawzad Amin
Nate Gruver
Andrew Gordon Wilson
20
0
0
10 Jun 2025
Edit Flows: Flow Matching with Edit Operations
Marton Havasi
Brian Karrer
Itai Gat
Ricky T. Q. Chen
BDL
27
0
0
10 Jun 2025
Branched Schrödinger Bridge Matching
Sophia Tang
Yinuo Zhang
Alexander Tong
Pranam Chatterjee
23
0
0
10 Jun 2025
RNE: a plug-and-play framework for diffusion density estimation and inference-time control
RNE: a plug-and-play framework for diffusion density estimation and inference-time control
Jiajun He
Jose Miguel Hernandez-Lobato
Yuanqi Du
Francisco Vargas
92
0
0
06 Jun 2025
Latent Diffusion Model Based Denoising Receiver for 6G Semantic Communication: From Stochastic Differential Theory to Application
Latent Diffusion Model Based Denoising Receiver for 6G Semantic Communication: From Stochastic Differential Theory to Application
Xiucheng Wang
Honggang Jia
Nan Cheng
Dusit Niyato
DiffM
69
0
0
06 Jun 2025
Exponential Family Variational Flow Matching for Tabular Data Generation
Exponential Family Variational Flow Matching for Tabular Data Generation
Andrés Guzmán-Cordero
Floor Eijkelboom
Jan-Willem van de Meent
50
0
0
06 Jun 2025
Differentially Private Distribution Release of Gaussian Mixture Models via KL-Divergence Minimization
Differentially Private Distribution Release of Gaussian Mixture Models via KL-Divergence Minimization
Hang Liu
Anna Scaglione
S. Peisert
50
0
0
04 Jun 2025
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
Haoxuan Chen
Yinuo Ren
Martin Renqiang Min
Lexing Ying
Zachary Izzo
DiffMMedIm
74
2
0
04 Jun 2025
Algorithm- and Data-Dependent Generalization Bounds for Score-Based Generative Models
Algorithm- and Data-Dependent Generalization Bounds for Score-Based Generative Models
Benjamin Dupuis
Dario Shariatian
Maxime Haddouche
Alain Durmus
Umut Simsekli
56
0
0
04 Jun 2025
Esoteric Language Models
Esoteric Language Models
Subham Sekhar Sahoo
Zhihan Yang
Yash Akhauri
Johnna Liu
Deepansha Singh
Zhoujun Cheng
Zhengzhong Liu
Eric P. Xing
John Thickstun
Arash Vahdat
59
0
0
02 Jun 2025
Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
Yuchen Liang
Renxiang Huang
Lifeng Lai
Ness B. Shroff
Yingbin Liang
24
0
0
02 Jun 2025
Diffusion-Based Symbolic Regression
Diffusion-Based Symbolic Regression
Zachary Bastiani
R. Kirby
Jacob Hochhalter
Shandian Zhe
DiffM
24
0
0
30 May 2025
SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation
SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation
Yuqi Fan
Zhiyong Cui
Zhenning Li
Yilong Ren
Haiyang Yu
30
0
0
30 May 2025
DLM-One: Diffusion Language Models for One-Step Sequence Generation
DLM-One: Diffusion Language Models for One-Step Sequence Generation
Tianqi Chen
Shujian Zhang
Mingyuan Zhou
28
0
0
30 May 2025
Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking
Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking
Heli Ben-Hamu
Itai Gat
Daniel Severo
Niklas Nolte
Brian Karrer
40
0
0
30 May 2025
DINGO: Constrained Inference for Diffusion LLMs
DINGO: Constrained Inference for Diffusion LLMs
Tarun Suresh
Debangshu Banerjee
Shubham Ugare
Sasa Misailovic
Gagandeep Singh
DiffM
49
0
0
29 May 2025
DiffER: Categorical Diffusion for Chemical Retrosynthesis
DiffER: Categorical Diffusion for Chemical Retrosynthesis
Sean Current
Ziqi Chen
Daniel Adu-Ampratwum
Xia Ning
Srinivasan Parthasarathy
DiffM
29
0
0
29 May 2025
Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving
Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving
Y. Wang
Yicheng Liu
Tianyuan Yuan
Yucheng Mao
Yingshi Liang
Xiuyu Yang
Honggang Zhang
DiffM
28
0
0
29 May 2025
Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes
Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes
Bocheng Li
Zhujin Gao
Linli Xu
DiffM
26
0
0
28 May 2025
CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models
CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models
Junbo Yin
Chao Zha
Wenjia He
Chencheng Xu
Xin Gao
DiffM
17
1
0
28 May 2025
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
Chengyue Wu
Hao Zhang
Shuchen Xue
Zhijian Liu
Shizhe Diao
Ligeng Zhu
Ping Luo
Song Han
Enze Xie
11
1
0
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Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
Jipeng Li
Yanning Shen
DiffMAI4CE
39
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0
28 May 2025
Test-Time Alignment of Discrete Diffusion Models with Sequential Monte Carlo
Test-Time Alignment of Discrete Diffusion Models with Sequential Monte Carlo
Chinmay Pani
Zijing Ou
Yingzhen Li
DiffM
60
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0
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A Convergence Theory for Diffusion Language Models: An Information-Theoretic Perspective
A Convergence Theory for Diffusion Language Models: An Information-Theoretic Perspective
Gen Li
Changxiao Cai
DiffM
27
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0
27 May 2025
Dub-S2ST: Textless Speech-to-Speech Translation for Seamless Dubbing
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Jeongsoo Choi
Jaehun Kim
Joon Son Chung
22
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0
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ReDDiT: Rehashing Noise for Discrete Visual Generation
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Tianren Ma
Xiaosong Zhang
Boyu Yang
Junlan Feng
QiXiang Ye
DiffM
118
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0
26 May 2025
MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning
MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning
Yuanxin Zhuang
Dazhong Shen
Ying Sun
35
1
0
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FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities
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Jin Wang
Yao Lai
Aoxue Li
Shifeng Zhang
Jiacheng Sun
Ning Kang
Chengyue Wu
Zhenguo Li
Ping Luo
63
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0
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Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking
Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking
Pengxiang Li
Shilin Yan
Joey Tsai
Renrui Zhang
Ruichuan An
Ziyu Guo
Xiaowei Gao
61
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0
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Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation
Victor M. Tenorio
Nicolas Zilberstein
Santiago Segarra
A. Marques
68
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0
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Discrete Markov Bridge
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Hengli Li
Yuxuan Wang
Song-Chun Zhu
Ying Nian Wu
Zilong Zheng
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66
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LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
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Fengqi Zhu
Rongzhen Wang
Shen Nie
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Jianfei Chen
Yankai Lin
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Chongxuan Li
190
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Plug-and-Play Context Feature Reuse for Efficient Masked Generation
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Anji Liu
Guy Van den Broeck
Yitao Liang
40
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Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation
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Viacheslav Meshchaninov
Dmitry Vetrov
42
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