Analysis of one-hidden-layer neural networks via the resolvent method. - Vanessa Piccolo; Dominik Schröder (NeurIPS, 2021)

High-dimensional optimization for multi-spiked tensor PCA. - Gérard Ben Arous; Cédric Gerbelot; Vanessa Piccolo (CoRR, 2024)

Stochastic gradient descent in high dimensions for multi-spiked tensor PCA. - Gérard Ben Arous; Cédric Gerbelot; Vanessa Piccolo (CoRR, 2024)

Permutation recovery of spikes in noisy high-dimensional tensor estimation. - Gérard Ben Arous; Cédric Gerbelot; Vanessa Piccolo (CoRR, 2024)

Some problems in Random Matrix Theory and High-Dimensional Statistics. (Quelques problèmes de matrices aléatoires et de statistiques en grande dimension). - Vanessa Piccolo (2025)

Global law of conjugate kernel random matrices with heavy-tailed weights. - Alice Guionnet; Vanessa Piccolo (CoRR, 2025)