activity
20132025
most citedAsymptotics of self-similar growth-fragmentation processes

20 citations · 20 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2025

On the Stability of the Jacobian Matrix in Deep Neural Networks

Benjamin Dadoun, Soufiane Hayou, Hanan Salam +2

Deep neural networks are known to suffer from exploding or vanishing gradients as depth increases, a phenomenon closely tied to the spectral behavior of the input-output Jacobian.…

math.PR2022

Monotonicity of the logarithmic energy for random matrices

Djalil Chafaï, Benjamin Dadoun, Pierre Youssef

It is well-known that the semi-circle law, which is the limiting distribution in the Wigner theorem, is the minimizer of the logarithmic energy penalized by the second moment. A ve…

math.OA2020

Maximal correlation and monotonicity of free entropy and Stein discrepancy

Benjamin Dadoun, Pierre Youssef

We introduce the maximal correlation coefficient between two noncommutative probability subspaces and and show that the maximal correlation coefficient bet…

math.PR2017

Self-similar growth-fragmentations as scaling limits of Markov branching processes

Benjamin Dadoun

We provide explicit conditions, in terms of the transition kernel of its driving particle, for a Markov branching process to admit a scaling limit toward a self-similar growth-frag…

math.PR2016★ 20 cited

Asymptotics of self-similar growth-fragmentation processes

Benjamin Dadoun

Markovian growth-fragmentation processes introduced by Bertoin extend the pure fragmentation model by allowing the fragments to grow larger or smaller between dislocation events. W…

math.PR2013

A statistical view on exchanges in Quickselect

Benjamin Dadoun, Ralph Neininger

In this paper we study the number of key exchanges required by Hoare's FIND algorithm (also called Quickselect) when operating on a uniformly distributed random permutation and sel…