Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2505.18230
Cited By
v1
v2
v3 (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
Re-assign community
ArXiv (abs)
PDF
HTML
Github
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
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
International 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
Willem Diepeveen
Georgios Batzolis
Zakhar Shumaylov
Carola-Bibiane Schönlieb
DiffM
267
5
0
02 Oct 2024
1