17 citations · 67 across the 16 of their papers we have counts for
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stat.ML2022★ 17 cited
Gaussian Universality of Perceptrons with Random Labels
Federica Gerace, Florent Krzakala, Bruno Loureiro +2
While classical in many theoretical settings - and in particular in statistical physics-inspired works - the assumption of Gaussian i.i.d. input data is often perceived as a strong…
math.PR2022
Sparse random hypergraphs: Non-backtracking spectra and community detection
Ludovic Stephan, Yizhe Zhu
We consider the community detection problem in a sparse -uniform hypergraph , assuming that is generated according to the Hypergraph Stochastic Block Model (HSBM). We pro…
stat.ML2022★ 11 cited
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
Rodrigo Veiga, Ludovic Stephan, Bruno Loureiro +2
Despite the non-convex optimization landscape, over-parametrized shallow networks are able to achieve global convergence under gradient descent. The picture can be radically differ…