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Score-Based Generative Models Detect Manifolds

2 June 2022

Papers citing "Score-Based Generative Models Detect Manifolds"

23 / 23 papers shown

Title
Provable Maximum Entropy Manifold Exploration via Diffusion Models Riccardo De Santi Marin Vlastelica Ya-Ping Hsieh Zebang Shen Niao He Andreas Krause DiffM 12 1 0 18 Jun 2025
Geometric Regularity in Deterministic Sampling of Diffusion-based Generative Models Defang Chen Zhenyu Zhou C. Wang Siwei Lyu DiffM 58 0 0 11 Jun 2025
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis Qi Chen Jierui Zhu Florian Shkurti DiffM 57 1 0 01 Jun 2025
Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity Ziqiang Liu Wei Zhang Tiejun Li DiffM 71 0 0 15 May 2025
Image Interpolation with Score-based Riemannian Metrics of Diffusion Models Shinnosuke Saito Takashi Matsubara DiffM 147 1 0 28 Apr 2025
TCFG: Tangential Damping Classifier-free Guidance Mingi Kwon Shin seong Kim Jaeseok Jeong. Yi Ting Hsiao Youngjung Uh DiffM 106 0 0 23 Mar 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 226 39 0 13 Mar 2025
When are dynamical systems learned from time series data statistically accurate? Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 65 5 0 09 Nov 2024
A Geometric Framework for Understanding Memorization in Generative Models Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell Gabriel Loaiza-Ganem 134 9 0 31 Oct 2024
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow Tonghan Wang Heng Dong Yanchen Jiang David C. Parkes Milind Tambe DiffM 117 3 0 17 Oct 2024
Linear Convergence of Diffusion Models Under the Manifold Hypothesis Peter Potaptchik Iskander Azangulov George Deligiannidis DiffM 91 6 0 11 Oct 2024
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion Enrico Ventura Beatrice Achilli Gianluigi Silvestri Carlo Lucibello L. Ambrogioni DiffM 135 10 0 08 Oct 2024
Operator-Informed Score Matching for Markov Diffusion Models Zheyang Shen Huihui Wang Marina Riabiz Chris J. Oates DiffM 139 0 0 13 Jun 2024
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models Yuchen Wu Minshuo Chen Zihao Li Mengdi Wang Yuting Wei 110 29 0 03 Mar 2024
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 189 12 0 19 Oct 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li Yuting Wei Yuxin Chen Yuejie Chi DiffM 115 62 0 15 Jun 2023
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction Francesco Pedrotti J. Maas Marco Mondelli DiffM 111 15 0 23 May 2023
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-Type Samplers Sitan Chen Giannis Daras A. Dimakis DiffM 89 65 0 06 Mar 2023
Infinite-Dimensional Diffusion Models Jakiw Pidstrigach Youssef Marzouk Sebastian Reich Sven Wang 132 13 0 20 Feb 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data Minshuo Chen Kaixuan Huang Tuo Zhao Mengdi Wang DiffM 71 108 0 14 Feb 2023
Denoising Deep Generative Models Gabriel Loaiza-Ganem Brendan Leigh Ross Luhuan Wu John P. Cunningham Jesse C. Cresswell Anthony L. Caterini DiffM 102 5 0 30 Nov 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 227 278 0 22 Sep 2022
Convergence of denoising diffusion models under the manifold hypothesis Valentin De Bortoli DiffM 88 171 0 10 Aug 2022