Generalization in diffusion models arises from geometry-adaptive harmonic representations

4 October 2023

Papers citing "Generalization in diffusion models arises from geometry-adaptive harmonic representations"

21 / 21 papers shown

Title
Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Jonathan Brokman Amit Giloni Omer Hofman Roman Vainshtein Hisashi Kojima Guy Gilboa 30 2 0 21 Apr 2025
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 188 2 0 16 Apr 2025
On Memorization in Diffusion Models Xiangming Gu Chao Du Tianyu Pang Chongxuan Li Min-Bin Lin Ye Wang DiffM TDI 166 43 0 21 Feb 2025
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 67 0 0 04 Feb 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models Xintong Duan Yutong He Fahim Tajwar Wen-Tse Chen Ruslan Salakhutdinov Jeff Schneider OffRL AI4CE 101 0 0 22 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 64 0 0 03 Jan 2025
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 G. Loaiza-Ganem 61 6 0 31 Oct 2024
Brain-like variational inference Hadi Vafaii Dekel Galor Jacob L. Yates DRL 49 0 0 25 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 47 2 0 17 Oct 2024
Influence Functions for Scalable Data Attribution in Diffusion Models Bruno Mlodozeniec Runa Eschenhagen Juhan Bae Alexander Immer David Krueger Richard E. Turner TDI DiffM 75 4 0 17 Oct 2024
On the Relation Between Linear Diffusion and Power Iteration Dana Weitzner M. Delbracio P. Milanfar Raja Giryes DiffM 36 0 0 16 Oct 2024
Linear Convergence of Diffusion Models Under the Manifold Hypothesis Peter Potaptchik Iskander Azangulov George Deligiannidis DiffM 47 5 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 32 5 0 08 Oct 2024
Classification-Denoising Networks Louis Thiry Florentin Guth 34 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 35 22 0 05 Aug 2024
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation Guillaume Huguet James Vuckovic Kilian Fatras Eric Thibodeau-Laufer Pablo Lemos ... Jarrid Rector-Brooks Tara Akhound-Sadegh Michael M. Bronstein Alexander Tong A. Bose 32 28 0 30 May 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos V. Cevher DiffM 52 3 0 29 May 2024
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method Mian Zou Baosheng Yu Yibing Zhan Siwei Lyu Kede Ma CVBM 56 3 0 14 May 2024
Dynamical Regimes of Diffusion Models Giulio Biroli Tony Bonnaire Valentin De Bortoli Marc Mézard DiffM 58 41 0 28 Feb 2024
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 95 9 0 19 Oct 2023
Learning multi-scale local conditional probability models of images Zahra Kadkhodaie Florentin Guth S. Mallat Eero P. Simoncelli DiffM 37 17 0 06 Mar 2023