ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.03686
  4. Cited By
Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic
  Localization
v1v2v3 (latest)

Nearly ddd-Linear Convergence Bounds for Diffusion Models via Stochastic Localization

International Conference on Learning Representations (ICLR), 2023
7 August 2023
Joe Benton
Valentin De Bortoli
Arnaud Doucet
George Deligiannidis
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization"

50 / 113 papers shown
Dimension-free error estimate for diffusion model and optimal scheduling
Dimension-free error estimate for diffusion model and optimal scheduling
Valentin de Bortoli
Romuald Elie
A. Kazeykina
Zhenjie Ren
Jiacheng Zhang
DiffM
100
2
0
01 Dec 2025
FREE: Uncertainty-Aware Autoregression for Parallel Diffusion Transformers
FREE: Uncertainty-Aware Autoregression for Parallel Diffusion Transformers
Xinwan Wen
Bowen Li
Jiajun Luo
Ye Li
Zhi Wang
VGen
126
0
0
25 Nov 2025
ProxT2I: Efficient Reward-Guided Text-to-Image Generation via Proximal Diffusion
ProxT2I: Efficient Reward-Guided Text-to-Image Generation via Proximal Diffusion
Zhenghan Fang
Jian Zheng
Qiaozi Gao
Xiaofeng Gao
Jeremias Sulam
225
0
0
24 Nov 2025
MURPHY: Multi-Turn GRPO for Self Correcting Code Generation
MURPHY: Multi-Turn GRPO for Self Correcting Code Generation
C. Ekbote
Vijay Lingam
Behrooz Omidvar-Tehrani
Jun Huan
Sujay Sanghavi
Anoop Deoras
Stefano Soatto
LRM
162
0
0
11 Nov 2025
A PDE Perspective on Generative Diffusion Models
A PDE Perspective on Generative Diffusion Models
Kang Liu
Enrique Zuazua
DiffM
112
2
0
08 Nov 2025
Optimal Inference Schedules for Masked Diffusion Models
Optimal Inference Schedules for Masked Diffusion Models
Sitan Chen
Kevin Cong
Jerry Li
DiffM
367
2
0
06 Nov 2025
Sublinear iterations can suffice even for DDPMs
Sublinear iterations can suffice even for DDPMs
Matthew Shunshi Zhang
Stephen Huan
Jerry Huang
Nicholas M. Boffi
Sitan Chen
Sinho Chewi
DiffM
176
1
0
06 Nov 2025
Optimal Convergence Analysis of DDPM for General Distributions
Optimal Convergence Analysis of DDPM for General Distributions
Yuchen Jiao
Yuchen Zhou
Gen Li
301
3
0
31 Oct 2025
Discrete State Diffusion Models: A Sample Complexity Perspective
Discrete State Diffusion Models: A Sample Complexity Perspective
Aadithya Srikanth
Mudit Gaur
Vaneet Aggarwal
DiffM
128
1
0
12 Oct 2025
Perspectives on Stochastic Localization
Perspectives on Stochastic Localization
Bobby Shi
Kevin Tian
Matthew S. Zhang
119
0
0
06 Oct 2025
Fine-Tuning Diffusion Models via Intermediate Distribution Shaping
Fine-Tuning Diffusion Models via Intermediate Distribution Shaping
Gautham Govind Anil
Shaan Ul Haque
Nithish Kannen
Dheeraj M. Nagaraj
Sanjay Shakkottai
Karthikeyan Shanmugam
181
0
0
03 Oct 2025
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
Zeqi Ye
Minshuo Chen
152
0
0
02 Oct 2025
CINDES: Classification induced neural density estimator and simulator
CINDES: Classification induced neural density estimator and simulator
Dehao Dai
Jianqing Fan
Yihong Gu
Debarghya Mukherjee
DiffMCML
136
0
0
01 Oct 2025
Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models
Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models
Cheng Jin
Qitan Shi
Yuantao Gu
261
2
0
26 Sep 2025
Error Analysis of Discrete Flow with Generator Matching
Error Analysis of Discrete Flow with Generator Matching
Zhengyan Wan
Yidong Ouyang
Qiang Yao
Liyan Xie
Fang Fang
Hongyuan Zha
Guang Cheng
142
2
0
26 Sep 2025
Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
Yuchen Liang
Yingbin Liang
Lifeng Lai
Ness B. Shroff
293
3
0
20 Sep 2025
Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance
Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance
Zhengyi Guo
Jiatu Li
Wenpin Tang
D. Yao
DiffMMedIm
243
0
0
04 Sep 2025
The Information Dynamics of Generative Diffusion
The Information Dynamics of Generative Diffusion
Luca Ambrogioni
DiffM
231
0
0
27 Aug 2025
A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions
A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions
Nishant Jain
Tong Zhang
254
1
0
22 Aug 2025
Sampling by averaging: A multiscale approach to score estimation
Sampling by averaging: A multiscale approach to score estimation
Paula Cordero Encinar
Andrew Duncan
Sebastian Reich
O.Deniz Akyildiz
DiffM
167
1
0
20 Aug 2025
A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
Junwei Su
Chuan Wu
DiffM
138
0
0
20 Aug 2025
Non-asymptotic convergence bound of conditional diffusion models
Non-asymptotic convergence bound of conditional diffusion models
Mengze Li
DiffM
151
0
0
13 Aug 2025
Elucidating Rectified Flow with Deterministic Sampler: Polynomial Discretization Complexity for Multi and One-step Models
Elucidating Rectified Flow with Deterministic Sampler: Polynomial Discretization Complexity for Multi and One-step Models
Ruofeng Yang
Zhaoyu Zhu
Bo Jiang
Cheng Chen
Shuai Li
164
1
0
12 Aug 2025
Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants
Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants
Yuhao Liu
Rui Hu
Yu Chen
Daigang Xu
117
0
0
10 Aug 2025
Likelihood Matching for Diffusion Models
Likelihood Matching for Diffusion Models
Lei Qian
Wu Su
Yanqi Huang
Song Xi Chen
DiffM
162
0
0
05 Aug 2025
Convergence of Deterministic and Stochastic Diffusion-Model Samplers: A Simple Analysis in Wasserstein Distance
Convergence of Deterministic and Stochastic Diffusion-Model Samplers: A Simple Analysis in Wasserstein Distance
Eliot Beyler
Francis Bach
DiffM
114
10
0
05 Aug 2025
Beyond Scores: Proximal Diffusion Models
Beyond Scores: Proximal Diffusion Models
Zhenghan Fang
Mateo Díaz
Sam Buchanan
Jeremias Sulam
DiffM
175
2
0
11 Jul 2025
Faster Diffusion Models via Higher-Order Approximation
Faster Diffusion Models via Higher-Order Approximation
Gen Li
Yuchen Zhou
Yuting Wei
Yuxin Chen
260
11
0
30 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
212
2
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
389
11
0
04 Jun 2025
Efficiently Access Diffusion Fisher: Within the Outer Product Span Space
Efficiently Access Diffusion Fisher: Within the Outer Product Span Space
Fangyikang Wang
Hubery Yin
Shaobin Zhuang
Huminhao Zhu
Yinan Li
Lei Qian
Chao Zhang
Hanbin Zhao
Hui Qian
Chen Li
214
3
0
29 May 2025
Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion
Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion
Xunpeng Huang
Yingyu Lin
Nikki Lijing Kuang
Hanze Dong
Difan Zou
Yian Ma
Tong Zhang
DiffM
205
3
0
28 May 2025
Efficient Diffusion Models for Symmetric Manifolds
Efficient Diffusion Models for Symmetric Manifolds
Oren Mangoubi
Neil He
Nisheeth K. Vishnoi
MedIm
248
2
0
27 May 2025
Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage
Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage
Chenguang Wang
Xiaoyu Zhang
Kaiyuan Cui
Weichen Zhao
Yongtao Guan
Tianshu Yu
DiffM
303
1
0
26 May 2025
Improved Sample Complexity For Diffusion Model Training Without Empirical Risk Minimizer Access
Improved Sample Complexity For Diffusion Model Training Without Empirical Risk Minimizer Access
Mudit Gaur
Prashant Trivedi
Sasidhar Kunapuli
Amrit Singh Bedi
Vaneet Aggarwal
528
0
0
23 May 2025
Joint stochastic localization and applications
Joint stochastic localization and applications
Tom Alberts
Yiming Xu
Qiang Ye
224
1
0
19 May 2025
Localized Diffusion Models
Localized Diffusion Models
Georg Gottwald
Shuigen Liu
Youssef Marzouk
Sebastian Reich
X. Tong
DiffM
457
4
0
07 May 2025
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation
Hengyuan Hu
Aniket Das
Dorsa Sadigh
Nima Anari
DiffM
353
5
0
06 May 2025
Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients
Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients
Stefano Bruno
Sotirios Sabanis
DiffM
479
7
0
06 May 2025
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees
Nishant Jain
Xunpeng Huang
Yian Ma
Tong Zhang
419
1
0
02 May 2025
Provable Efficiency of Guidance in Diffusion Models for General Data Distribution
Provable Efficiency of Guidance in Diffusion Models for General Data Distribution
Gen Li
Yuchen Jiao
193
5
0
02 May 2025
Capturing Conditional Dependence via Auto-regressive Diffusion Models
Capturing Conditional Dependence via Auto-regressive Diffusion Models
Xunpeng Huang
Yujin Han
Difan Zou
Yian Ma
Tong Zhang
DiffM
306
0
0
30 Apr 2025
Planning with Diffusion Models for Target-Oriented Dialogue Systems
Planning with Diffusion Models for Target-Oriented Dialogue SystemsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Hanwen Du
Bo Peng
Xia Ning
407
0
0
23 Apr 2025
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures
Gen Li
Changxiao Cai
Yuting Wei
DiffM
273
12
0
07 Apr 2025
On the Interpolation Effect of Score Smoothing in Diffusion Models
On the Interpolation Effect of Score Smoothing in Diffusion Models
Zhengdao Chen
DiffM
435
5
0
26 Feb 2025
Regularization can make diffusion models more efficient
Regularization can make diffusion models more efficient
Mahsa Taheri
Johannes Lederer
427
1
0
13 Feb 2025
On the query complexity of sampling from non-log-concave distributions
On the query complexity of sampling from non-log-concave distributionsAnnual Conference Computational Learning Theory (COLT), 2025
Yuchen He
Chihao Zhang
478
6
0
10 Feb 2025
Information-Theoretic Proofs for Diffusion Sampling
Information-Theoretic Proofs for Diffusion SamplingInternational Symposium on Information Theory (ISIT), 2025
Galen Reeves
H. Pfister
DiffM
506
0
0
04 Feb 2025
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
Yinuo Ren
Haoxuan Chen
Yuchen Zhu
Wei Guo
Yongxin Chen
Grant M. Rotskoff
Molei Tao
Lexing Ying
DiffM
322
25
0
01 Feb 2025
Optimizing Noise Schedules of Generative Models in High Dimensionss
Santiago Aranguri
Giulio Biroli
Marc Mézard
Eric Vanden-Eijnden
DiffM
215
3
0
03 Jan 2025
123
Next
Page 1 of 3