30 citations · 112 across the 22 of their papers we have counts for
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stat.ML2023
Les Houches Lectures on Deep Learning at Large & Infinite Width
Yasaman Bahri, Boris Hanin, Antonin Brossollet +4
These lectures, presented at the 2022 Les Houches Summer School on Statistical Physics and Machine Learning, focus on the infinite-width limit and large-width regime of deep neural…
stat.ML2023
Asymptotic Characterisation of Robust Empirical Risk Minimisation Performance in the Presence of Outliers
Matteo Vilucchio, Emanuele Troiani, Vittorio Erba +1
We study robust linear regression in high-dimension, when both the dimension and the number of data points diverge with a fixed ratio , and study a data model that i…
cond-mat.dis-nn2023★ 5 cited
Statistical mechanics of the maximum-average submatrix problem
Vittorio Erba, Florent Krzakala, Rodrigo Pérez +1
We study the maximum-average submatrix problem, in which given an matrix one needs to find the submatrix with the largest average of entries. We study…