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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
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More
Arvid Frydenlund
LRM
173
0
0
13 Mar 2025
On the Generalization Properties of Diffusion Models
On the Generalization Properties of Diffusion Models
Puheng Li
Zhong Li
Huishuai Zhang
Jiang Bian
238
39
0
13 Mar 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Marianne Arriola
Aaron Gokaslan
Justin T Chiu
Zhihan Yang
Zhixuan Qi
Jiaqi Han
Subham Sekhar Sahoo
Volodymyr Kuleshov
DiffM
267
25
0
12 Mar 2025
Preference-Based Alignment of Discrete Diffusion Models
Preference-Based Alignment of Discrete Diffusion Models
Umberto Borso
Davide Paglieri
Jude Wells
Tim Rocktaschel
108
3
0
11 Mar 2025
Understanding the Quality-Diversity Trade-off in Diffusion Language Models
Zak Buzzard
DiffM
80
0
0
11 Mar 2025
Efficient Distillation of Classifier-Free Guidance using Adapters
Cristian Perez Jensen
Seyedmorteza Sadat
96
1
0
10 Mar 2025
Controllable 3D Outdoor Scene Generation via Scene Graphs
Yuheng Liu
Xinke Li
Yuning Zhang
Lu Qi
Xin Li
Wenping Wang
Chongshou Li
Xueting Li
Ming-Hsuan Yang
3DV
438
0
0
10 Mar 2025
Effective and Efficient Masked Image Generation Models
Effective and Efficient Masked Image Generation Models
Zebin You
Jingyang Ou
Xiaolu Zhang
Jun Hu
Jun Zhou
Chongxuan Li
DiffMVLM
113
3
0
10 Mar 2025
Backdoor Attacks on Discrete Graph Diffusion Models
Jiawen Wang
Samin Karim
Yuan Hong
Binghui Wang
DiffM
183
0
0
08 Mar 2025
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
Zhe Wang
Jiaxin Shi
N. Heess
Arthur Gretton
Michalis K. Titsias
98
2
0
07 Mar 2025
THE-SEAN: A Heart Rate Variation-Inspired Temporally High-Order Event-Based Visual Odometry with Self-Supervised Spiking Event Accumulation Networks
Chaoran Xiong
Litao Wei
Kehui Ma
Zhen Sun
Yan Xiang
Zihan Nan
Trieu-Kien Truong
Ling Pei
92
8
0
07 Mar 2025
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
143
0
0
06 Mar 2025
Generalized Interpolating Discrete Diffusion
Generalized Interpolating Discrete Diffusion
Dimitri von Rutte
J. Fluri
Yuhui Ding
Antonio Orvieto
Bernhard Scholkopf
Thomas Hofmann
DiffM
129
2
0
06 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
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
149
3
0
03 Mar 2025
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution
Xingyuan Li
Zhenting Wang
Yang Zou
Zhaoyu Chen
Jun Ma
Zhiying Jiang
Long Ma
Jinyuan Liu
114
2
0
03 Mar 2025
Split Gibbs Discrete Diffusion Posterior Sampling
Split Gibbs Discrete Diffusion Posterior Sampling
Wenda Chu
Zihui Wu
Yifan Chen
Yang Song
Yisong Yue
84
2
0
03 Mar 2025
Molecule Generation for Target Protein Binding with Hierarchical Consistency Diffusion Model
Ge Li
Chenran Jiang
Ziqi Gao
Yu Liu
Chenyang Liu
Jiean Chen
Yong Huang
Jia Li
81
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
117
2
0
02 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
61
2
0
01 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
87
0
0
01 Mar 2025
Remasking Discrete Diffusion Models with Inference-Time Scaling
Remasking Discrete Diffusion Models with Inference-Time Scaling
Guanghan Wang
Yair Schiff
Subham Sekhar Sahoo
Volodymyr Kuleshov
DiffM
155
16
0
01 Mar 2025
Implicit Search via Discrete Diffusion: A Study on Chess
Implicit Search via Discrete Diffusion: A Study on Chess
Jiacheng Ye
Zhenyu Wu
Jiahui Gao
Zhiyong Wu
Xin Jiang
Zhiyu Li
Dianbo Sui
DiffM
103
4
0
27 Feb 2025
EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models
EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models
Che Hyun Lee
Heeseung Kim
Jiheum Yeom
Sungroh Yoon
DiffM
118
1
0
27 Feb 2025
A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models
A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models
Vu Tuan Truong Long
Bao Le
DiffMAAML
529
0
0
26 Feb 2025
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
Alberto Foresti
Giulio Franzese
Pietro Michiardi
140
0
0
26 Feb 2025
GCDance: Genre-Controlled 3D Full Body Dance Generation Driven By Music
GCDance: Genre-Controlled 3D Full Body Dance Generation Driven By Music
Xinran Liu
Xu Dong
Diptesh Kanojia
Wenwu Wang
Zhenhua Feng
DiffM
96
0
0
25 Feb 2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions
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
114
0
0
24 Feb 2025
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design
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
125
3
0
20 Feb 2025
FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching
FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching
Joongwon Lee
Seonghwan Kim
Wou Youn Kim
H. Kim
Woo Youn Kim
136
0
0
19 Feb 2025
Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
Yingqing Guo
Yukang Yang
Hui Yuan
Mengdi Wang
87
3
0
17 Feb 2025
How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
Alessandro Favero
Antonio Sclocchi
Francesco Cagnetta
Pascal Frossard
Matthieu Wyart
DiffMCoGe
110
6
0
17 Feb 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
Haoyu Lei
Kaiwen Zhou
Yunshui Li
Zhitang Chen
Farzan Farnia
DiffM
116
1
0
15 Feb 2025
Large Language Diffusion Models
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
263
55
0
14 Feb 2025
Theoretical Benefit and Limitation of Diffusion Language Model
Theoretical Benefit and Limitation of Diffusion Language Model
Guhao Feng
Yihan Geng
Jian Guan
Wei Wu
Liwei Wang
Di He
DiffM
152
1
0
13 Feb 2025
UniMoD: Efficient Unified Multimodal Transformers with Mixture-of-Depths
Weijia Mao
Zhiyong Yang
Mike Zheng Shou
MoE
190
1
0
10 Feb 2025
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
Filip Ekstrom Kelvinius
Zheng Zhao
Fredrik Lindsten
DiffM
94
3
0
10 Feb 2025
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
Jiayi Luo
Qingyun Sun
Haonan Yuan
Xingcheng Fu
Jianxin Li
DiffMAAML
161
0
0
07 Feb 2025
Blackout DIFUSCO
Blackout DIFUSCO
Jun Pyo Seo
90
0
0
05 Feb 2025
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
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
549
15
0
05 Feb 2025
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
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
161
11
0
05 Feb 2025
Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling
Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling
Markus Krimmel
Jenna Wiens
Karsten Borgwardt
Dexiong Chen
150
0
0
04 Feb 2025
Latent Thought Models with Variational Bayes Inference-Time Computation
Latent Thought Models with Variational Bayes Inference-Time Computation
Deqian Kong
Minglu Zhao
Dehong Xu
Bo Pang
Shu Wang
...
Zhangzhang Si
Chuan Li
Jianwen Xie
Sirui Xie
Ying Nian Wu
VLMLRMBDL
136
10
0
03 Feb 2025
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
Oussama Zekri
Nicolas Boullé
DiffM
149
4
0
03 Feb 2025
Categorical Schrödinger Bridge Matching
Categorical Schrödinger Bridge Matching
Grigoriy Ksenofontov
Alexander Korotin
116
1
0
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Understanding and Mitigating the High Computational Cost in Path Data Diffusion
Understanding and Mitigating the High Computational Cost in Path Data Diffusion
D. Shi
Lulu Zhang
Yongxin Tong
Ke Xu
72
0
0
02 Feb 2025
Regularized Langevin Dynamics for Combinatorial Optimization
Regularized Langevin Dynamics for Combinatorial Optimization
Shengyu Feng
Yiming Yang
135
1
0
01 Feb 2025
TRADES: Generating Realistic Market Simulations with Diffusion Models
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Leonardo Berti
Bardh Prenkaj
Paola Velardi
DiffM
222
1
0
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An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem
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
106
3
0
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Graph Representation Learning with Diffusion Generative Models
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Daniel Wesego
DiffM
94
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0
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DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
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
108
2
0
20 Jan 2025
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