3 papers
hep-ph2026
The Latent Information Geometry of Jet Classification
Rebecca Maria Kuntz, Tilman Plehn, Björn Malte Schäfer +2
Latent representations are an important theme in modern machine learning. Any network training with the notion of locality introduces a latent geometry which we can analyze with th…
astro-ph.IM2025
A novel inversion algorithm for weak gravitational lensing using quasi-conformal geometry
Jan Jakob, Björn Malte Schäfer
The challenge in weak gravitational lensing caused by galaxies and clusters is to infer the projected mass density distribution from gravitational lensing measurements, known as th…
math.ST2025
Rényi-Induced Information Geometry and Hartigan's Prior Family
Rebecca Maria Kuntz, Heinrich von Campe, Björn Malte Schäfer
We derive the information geometry induced by the statistical Rényi divergence, namely its metric tensor, its dual parametrized connections, as well as its dual Laplacians. Based…