Statistical Efficiency of Score Matching: The View from Isoperimetry

3 October 2022

Andrej Risteski

Papers citing "Statistical Efficiency of Score Matching: The View from Isoperimetry"

37 / 37 papers shown

Title
Proper scoring rules for estimation and forecast evaluation Kartik Waghmare Johanna Ziegel AI4TS 33 0 0 02 Apr 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 66 29 0 13 Mar 2025
Discrete distributions are learnable from metastable samples Abhijith Jayakumar A. Lokhov Sidhant Misra Marc Vuffray 37 1 0 17 Oct 2024
Shallow diffusion networks provably learn hidden low-dimensional structure Nicholas M. Boffi Arthur Jacot Stephen Tu Ingvar M. Ziemann DiffM 31 1 0 15 Oct 2024
Classification-Denoising Networks Louis Thiry Florentin Guth 31 0 0 04 Oct 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 33 22 0 05 Aug 2024
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines Yuchen Li Alexandre Kirchmeyer Aashay Mehta Yilong Qin Boris Dadachev Kishore Papineni Sanjiv Kumar Andrej Risteski 47 0 0 22 Jul 2024
Hierarchic Flows to Estimate and Sample High-dimensional Probabilities Etienne Lempereur Stéphane Mallat 41 1 0 06 May 2024
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models Jingyang Zhang Jingwei Sun Eric C. Yeats Ouyang Yang Martin Kuo Jianyi Zhang Hao Frank Yang Hai Li 35 41 0 03 Apr 2024
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction Xingyu Xu Yuejie Chi DiffM 36 20 0 25 Mar 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial Wenpin Tang Hanyang Zhao DiffM 38 23 0 12 Feb 2024
Contractive Diffusion Probabilistic Models Wenpin Tang Hanyang Zhao DiffM 38 12 0 23 Jan 2024
Reflected Schrödinger Bridge for Constrained Generative Modeling Wei Deng Yu Chen Nicole Tianjiao Yang Hengrong Du Qi Feng Ricky T. Q. Chen 23 7 0 06 Jan 2024
Adversarial Estimation of Topological Dimension with Harmonic Score Maps Eric C. Yeats Cameron Darwin Frank Liu Hai Li 26 2 0 11 Dec 2023
Improved Sample Complexity Bounds for Diffusion Model Training Shivam Gupta Aditya Parulekar Eric Price Zhiyang Xun 22 2 0 23 Nov 2023
A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width Jason Gaitonde Elchanan Mossel 14 8 0 15 Nov 2023
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling Zhenyu Zhu Francesco Locatello V. Cevher 18 6 0 27 Oct 2023
Particle-based Variational Inference with Generalized Wasserstein Gradient Flow Ziheng Cheng Shiyue Zhang Longlin Yu Cheng Zhang BDL 26 6 0 25 Oct 2023
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 92 9 0 19 Oct 2023
Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization Frederic Koehler T. Vuong DiffM SyDa 11 3 0 03 Oct 2023
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation Hyunwoo Ryu Jiwoo Kim Hyun Seok Ahn Junwoo Chang Joohwan Seo Taehan Kim Yubin Kim Chaewon Hwang Jongeun Choi R. Horowitz DiffM 19 33 0 06 Sep 2023
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models Tianyu Chen Kevin Bello Bryon Aragam Pradeep Ravikumar CML 22 1 0 30 Jun 2023
Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions Yilong Qin Andrej Risteski DiffM 21 2 0 15 Jun 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li Yuting Wei Yuxin Chen Yuejie Chi DiffM 31 57 0 15 Jun 2023
Provable benefits of score matching Chirag Pabbaraju Dhruv Rohatgi A. Sevekari Holden Lee Ankur Moitra Andrej Risteski 13 9 0 03 Jun 2023
White-Box Transformers via Sparse Rate Reduction Yaodong Yu Sam Buchanan Druv Pai Tianzhe Chu Ziyang Wu Shengbang Tong B. Haeffele Y. Ma ViT 16 80 0 01 Jun 2023
Conditionally Strongly Log-Concave Generative Models Florentin Guth Etienne Lempereur Joan Bruna S. Mallat 27 3 0 31 May 2023
Stein $Π$ -Importance Sampling Congye Wang Ye Chen Heishiro Kanagawa Chris J. Oates 29 2 0 17 May 2023
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation Yu Chen Wei Deng Shikai Fang Fengpei Li Ni Yang Yikai Zhang Kashif Rasul Shandian Zhe Anderson Schneider Yuriy Nevmyvaka OT AI4TS 24 25 0 12 May 2023
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data Asad Aali Marius Arvinte Sidharth Kumar Jonathan I. Tamir DiffM MedIm 34 26 0 02 May 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 24 49 0 10 Apr 2023
Your diffusion model secretly knows the dimension of the data manifold Jan Stanczuk Georgios Batzolis Teo Deveney Carola-Bibiane Schönlieb DiffM 26 24 0 23 Dec 2022
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions Hongrui Chen Holden Lee Jianfeng Lu DiffM 18 124 0 03 Nov 2022
Convergence of the Inexact Langevin Algorithm and Score-based Generative Models in KL Divergence Kaylee Yingxi Yang Andre Wibisono 16 12 0 02 Nov 2022
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 179 128 0 26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 125 246 0 22 Sep 2022
Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities Frank Nielsen 30 12 0 13 Jul 2021