activity
20232026
collaborators

5 papers

math.DG2026

Jacobian estimates and geometric inequalities under intermediate Ricci curvature

Kwok-Kun Kwong, Jihye Lee, Fabio Ricci

We prove a Jacobian estimate underlying both the Heintze--Karcher comparison and the Alexandrov--Bakelman--Pucci method for submanifolds of arbitrary codimension. The estimate reta…

stat.ML2026

A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights

Fabiola Ricci, Claudia Merger, Sebastian Goldt

Neural networks trained with gradient-based methods exhibit a strong simplicity bias: they learn simpler statistical features of their data before moving to more complex features.…

stat.ML2025

Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions

Fabiola Ricci, Lorenzo Bardone, Sebastian Goldt

Deep neural networks learn structured features from complex, non-Gaussian inputs, but the mechanisms behind this process remain poorly understood. Our work is motivated by the obse…

math.DG2024

Isoperimetric profile function comparisons with Integral Ricci curvature bounds

Jihye Lee, Fabio Ricci

We prove comparison results for the Isoperimetric profile function in the setting of manifolds with integral bounds on the Ricci curvature. We extend previous work of Ni and Wang a…

math.DG2023

The Log-Sobolev inequality for a submanifold in manifolds with asymptotic non-negative intermediate Ricci curvature

Jihye Lee, Fabio Ricci

We prove a sharp Log-Sobolev inequality for submanifolds of a complete non-compact Riemannian manifold with asymptotic non-negative intermediate Ricci curvature and Euclidean volum…