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2206.06227
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Convergence for score-based generative modeling with polynomial complexity
Neural Information Processing Systems (NeurIPS), 2022
13 June 2022
Holden Lee
Jianfeng Lu
Yixin Tan
DiffM
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Papers citing
"Convergence for score-based generative modeling with polynomial complexity"
50 / 73 papers shown
Dimension-free error estimate for diffusion model and optimal scheduling
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Convergence Dynamics of Over-Parameterized Score Matching for a Single Gaussian
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27 Nov 2025
A PDE Perspective on Generative Diffusion Models
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Sublinear iterations can suffice even for DDPMs
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Stephen Huan
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06 Nov 2025
A Free Probabilistic Framework for Denoising Diffusion Models: Entropy, Transport, and Reverse Processes
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26 Oct 2025
Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors
Hongkai Zheng
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Ricardo Baptista
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200
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13 Oct 2025
Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
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284
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20 Sep 2025
DoubleGen: Debiased Generative Modeling of Counterfactuals
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Kenji Fukumizu
122
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20 Sep 2025
Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance
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04 Sep 2025
A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions
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Tong Zhang
247
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22 Aug 2025
A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
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Chuan Wu
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133
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20 Aug 2025
Non-asymptotic convergence bound of conditional diffusion models
Mengze Li
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128
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13 Aug 2025
Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo
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Litu Rout
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Sanjay Shakkottai
177
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11 Aug 2025
Convergence of Deterministic and Stochastic Diffusion-Model Samplers: A Simple Analysis in Wasserstein Distance
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Francis Bach
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106
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Hyperbolic Deep Learning for Foundation Models: A Survey
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Hiren Madhu
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Rex Ying
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154
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Beyond Scores: Proximal Diffusion Models
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Mateo Díaz
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Jeremias Sulam
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155
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Provable Maximum Entropy Manifold Exploration via Diffusion Models
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Marin Vlastelica
Ya-Ping Hsieh
Zebang Shen
Niao He
Andreas Krause
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199
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Optimization-Free Diffusion Model -- A Perturbation Theory Approach
Y. Khoo
Mathias Oster
Yifan Peng
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254
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29 May 2025
Breaking AR's Sampling Bottleneck: Provable Acceleration via Diffusion Language Models
Gen Li
Changxiao Cai
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175
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27 May 2025
A Malliavin-Gamma calculus approach to Score Based Diffusion Generative models for random fields
Giacomo Greco
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352
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Localized Diffusion Models
Georg Gottwald
Shuigen Liu
Youssef Marzouk
Sebastian Reich
X. Tong
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440
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Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients
Stefano Bruno
Sotirios Sabanis
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477
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Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees
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Xunpeng Huang
Yian Ma
Tong Zhang
419
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02 May 2025
Can Diffusion Models Disentangle? A Theoretical Perspective
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Yishu Gong
Yuan Gong
Jiaqi Zhang
Brian Tracey
Katerina Placek
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James Glass
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CoGe
399
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31 Mar 2025
On the Interpolation Effect of Score Smoothing in Diffusion Models
Zhengdao Chen
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434
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Regularization can make diffusion models more efficient
Mahsa Taheri
Johannes Lederer
416
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Antonio Ocello
Claire Boyer Lpsm
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Vincent Lemaire
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495
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Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models
Wenda Li
Huijie Zhang
Qing Qu
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433
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28 Oct 2024
Diffusing States and Matching Scores: A New Framework for Imitation Learning
International Conference on Learning Representations (ICLR), 2024
Runzhe Wu
Yiding Chen
Gokul Swamy
Kianté Brantley
Wen Sun
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428
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17 Oct 2024
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
International Conference on Learning Representations (ICLR), 2024
Omar Chehab
Anna Korba
Austin Stromme
Adrien Vacher
492
9
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13 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
International Conference on Learning Representations (ICLR), 2024
Yinuo Ren
Haoxuan Chen
Grant M. Rotskoff
Lexing Ying
302
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Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
International Conference on Learning Representations (ICLR), 2024
Zikun Zhang
Zixiang Chen
Quanquan Gu
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416
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DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models
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Avirup Das
Rishabh Dev Yadav
Sihao Sun
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Samuel Kaski
Wei Pan
297
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Reward-Directed Score-Based Diffusion Models via q-Learning
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Jiale Zha
X. Zhou
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Farzan Farnia
490
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Convergence of the denoising diffusion probabilistic models for general noise schedules
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Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
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243
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Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
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Yinuo Ren
Lexing Ying
Grant M. Rotskoff
321
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Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
Émile Pierret
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Cryptographic Hardness of Score Estimation
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198
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Diffusion Model for Data-Driven Black-Box Optimization
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Chengzhuo Ni
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246
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20 Mar 2024
Accelerating Diffusion Sampling with Optimized Time Steps
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Fei Chen
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Tianyang Hu
Enze Xie
Zhenguo Li
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Optimal score estimation via empirical Bayes smoothing
Andre Wibisono
Yihong Wu
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309
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Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial
Statistics Survey (Stat. Surv.), 2024
Wenpin Tang
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397
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Contractive Diffusion Probabilistic Models
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309
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A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models
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Conditional Stochastic Interpolation for Generative Learning
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Ting Li
Guohao Shen
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Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation
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Carola-Bibiane Schönlieb
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174
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The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
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