Score-based generative models learn manifold-like structures with constrained mixing

16 November 2023

Papers citing "Score-based generative models learn manifold-like structures with constrained mixing"

5 / 5 papers shown

Title
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models Ezgi Demircan-Tureyen F. Lucka Tristan van Leeuwen DiffM 144 0 0 09 Nov 2024
How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces? Weiguo Gao Ming Li OOD 99 3 0 31 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
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows Willem Diepeveen Georgios Batzolis Zakhar Shumaylov Carola-Bibiane Schönlieb DiffM 105 3 0 02 Oct 2024
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints Lingkai Kong Yuanqi Du Wenhao Mu Kirill Neklyudov Valentin De Bortol ... D. Wu Aaron Ferber Yi-An Ma Carla P. Gomes Chao Zhang 84 13 0 28 Feb 2024