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Optimal score estimation via empirical Bayes smoothing

12 February 2024

Papers citing "Optimal score estimation via empirical Bayes smoothing"

21 / 21 papers shown

Title
DiffEM: Learning from Corrupted Data with Diffusion Models via Expectation Maximization Danial Hosseintabar Fan Chen Giannis Daras Antonio Torralba C. Daskalakis 64 1 0 14 Oct 2025
A Black-Box Debiasing Framework for Conditional Sampling Han Cui Jingbo Liu 36 0 0 13 Oct 2025
Non-asymptotic convergence bound of conditional diffusion models Mengze Li DiffM 104 0 0 13 Aug 2025
Algorithm- and Data-Dependent Generalization Bounds for Score-Based Generative Models Benjamin Dupuis Dario Shariatian Maxime Haddouche Alain Durmus Umut Simsekli 169 2 0 04 Jun 2025
A Convergence Theory for Diffusion Language Models: An Information-Theoretic Perspective Gen Li Changxiao Cai DiffM 131 9 0 27 May 2025
Improved Sample Complexity For Diffusion Model Training Without Empirical Risk Minimizer Access Mudit Gaur Prashant Trivedi Sasidhar Kunapuli Amrit Singh Bedi Vaneet Aggarwal 390 0 0 23 May 2025
Localized Diffusion Models Georg Gottwald Shuigen Liu Youssef Marzouk Sebastian Reich X. Tong DiffM 348 4 0 07 May 2025
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures Gen Li Changxiao Cai Yuting Wei DiffM 235 5 0 07 Apr 2025
On the Interpolation Effect of Score Smoothing in Diffusion Models Zhengdao Chen DiffM 370 4 0 26 Feb 2025
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 361 1 0 13 Feb 2025
Shallow diffusion networks provably learn hidden low-dimensional structure Nicholas M. Boffi Arthur Jacot Stephen Tu Ingvar M. Ziemann DiffM 202 5 0 15 Oct 2024
Linear Convergence of Diffusion Models Under the Manifold HypothesisAnnual Conference Computational Learning Theory (COLT), 2024 Peter Potaptchik Iskander Azangulov George Deligiannidis DiffM 255 19 0 11 Oct 2024
Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals Fuqun Han Stanley Osher Wuchen Li 172 3 0 03 Sep 2024
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 345 3 0 03 Sep 2024
Plug-in estimation of Schrödinger bridges Aram-Alexandre Pooladian Jonathan Niles-Weed DiffM OT 218 6 0 21 Aug 2024
Evaluating the design space of diffusion-based generative modelsNeural Information Processing Systems (NeurIPS), 2024 Yuqing Wang Ye He Molei Tao DiffM 275 16 0 18 Jun 2024
Gradient Guidance for Diffusion Models: An Optimization Perspective Yingqing Guo Hui Yuan Yukang Yang Minshuo Chen Mengdi Wang 183 44 0 23 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization Minshuo Chen Song Mei Jianqing Fan Mengdi Wang VLM MedIm DiffM 244 81 0 11 Apr 2024
Cryptographic Hardness of Score EstimationNeural Information Processing Systems (NeurIPS), 2024 Min Jae Song 151 1 0 04 Apr 2024
Diffusion Model for Data-Driven Black-Box Optimization Zihao Li Hui Yuan Kaixuan Huang Chengzhuo Ni Yinyu Ye Minshuo Chen Mengdi Wang DiffM 175 19 0 20 Mar 2024
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 438 22 0 19 Oct 2023