activity
20222025
most citedLarge deviations of one-hidden-layer neural networks

4 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

math.CO2025

Playing Sudoku on random 3-regular graphs

Jack Dippel, Austin Eide, Pawel Pralat +1

The Sudoku number of graph with chromatic number is the smallest partial -colouring of that determines a unique -colouring of the entire graph. We…

math.PR2024★ 4 cited

Large deviations of one-hidden-layer neural networks

Christian Hirsch, Daniel Willhalm

We study large deviations in the context of stochastic gradient descent for one-hidden-layer neural networks with quadratic loss. We derive a quenched large deviation principle, wh…

math.PR2023★ 1 cited

Lower large deviations for geometric functionals in sparse, critical and dense regimes

Christian Hirsch, Daniel Willhalm

We prove lower large deviations for geometric functionals in sparse, critical and dense regimes. Our results are tailored for functionals with nonexisting exponential moments, for…

math.PR2022★ 2 cited

Limit theory of sparse random geometric graphs in high dimensions

Gilles Bonnet, Christian Hirsch, Daniel Rosen +1

We study topological and geometric functionals of -random geometric graphs on the high-dimensional torus in a sparse regime, where the expected number of neighbors decays…

math.PR2022★ 2 cited

Upper large deviations for power-weighted edge lengths in spatial random networks

Christian Hirsch, Daniel Willhalm

We study the large-volume asymptotics of the sum of power-weighted edge lengths in Poisson-based spatial random networks. In the regime , we provide a s…