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Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
v1v2v3 (latest)

Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models

23 May 2025
Louis Bethune
David Vigouroux
Yilun Du
Rufin VanRullen
Thomas Serre
Victor Boutin
    DiffM
ArXiv (abs)PDFHTMLGithub

Papers citing "Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models"

3 / 3 papers shown
Title
Be Tangential to Manifold: Discovering Riemannian Metric for Diffusion Models
Be Tangential to Manifold: Discovering Riemannian Metric for Diffusion Models
Shinnosuke Saito
Takashi Matsubara
DiffM
168
1
0
07 Oct 2025
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data ManifoldsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Xingzhi Sun
Danqi Liao
Kincaid MacDonald
Yanlei Zhang
Chen Liu
Guillaume Huguet
Guy Wolf
Ian M. Adelstein
Tim G. J. Rudner
Smita Krishnaswamy
417
14
0
16 Oct 2024
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
Willem Diepeveen
Georgios Batzolis
Zakhar Shumaylov
Carola-Bibiane Schönlieb
DiffM
267
5
0
02 Oct 2024
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