On the glassy nature of the hard phase in inference problems. - Fabrizio Antenucci; Silvio Franz; Pierfrancesco Urbani; Lenka Zdeborová (CoRR, 2018)

Approximate Survey Propagation for Statistical Inference. - Fabrizio Antenucci; Florent Krzakala; Pierfrancesco Urbani; Lenka Zdeborová (CoRR, 2018)

Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference. - Stefano Sarao Mannelli; Giulio Biroli; Chiara Cammarota; Florent Krzakala; Pierfrancesco Urbani; Lenka Zdeborová (CoRR, 2018)

Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models. - Stefano Sarao Mannelli; Florent Krzakala; Pierfrancesco Urbani; Lenka Zdeborová (ICML, 2019)

Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model. - Stefano Sarao Mannelli; Florent Krzakala; Pierfrancesco Urbani; Lenka Zdeborová (CoRR, 2019)

The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture. - Francesca Mignacco; Florent Krzakala; Yue M. Lu; Pierfrancesco Urbani; Lenka Zdeborová (ICML, 2020)

Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval. - Stefano Sarao Mannelli; Giulio Biroli; Chiara Cammarota; Florent Krzakala; Pierfrancesco Urbani; Lenka Zdeborová (NeurIPS, 2020)

Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification. - Francesca Mignacco; Florent Krzakala; Pierfrancesco Urbani; Lenka Zdeborová (NeurIPS, 2020)

Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems. - Stefano Sarao Mannelli; Pierfrancesco Urbani (NeurIPS, 2021)

Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problem. - Stefano Sarao Mannelli; Pierfrancesco Urbani (CoRR, 2021)

The effective noise of Stochastic Gradient Descent. - Francesca Mignacco; Pierfrancesco Urbani (CoRR, 2021)

Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem. - Francesca Mignacco; Pierfrancesco Urbani; Lenka Zdeborová (Mach. Learn. Sci. Technol., 2021)

Stochastic Gradient Descent outperforms Gradient Descent in recovering a high-dimensional signal in a glassy energy landscape. - Persia Jana Kamali; Pierfrancesco Urbani (CoRR, 2023)

Generative modeling through internal high-dimensional chaotic activity. - Samantha J. Fournier; Pierfrancesco Urbani (CoRR, 2024)

Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks. - Andrea Montanari; Pierfrancesco Urbani (CoRR, 2025)