Pierfrancesco Urbani | DeepAI

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Featured Co-authors

Florent Krzakala
88 publications
Lenka Zdeborová
80 publications
Giulio Biroli
21 publications
Stefano Sarao Mannelli
15 publications
Francesca Mignacco
7 publications
Chiara Cammarota
5 publications
Fabrizio Antenucci
3 publications
Persia Jana Kamali
1 publication
Silvio Franz
1 publication

∙ 09/09/2023

Stochastic Gradient Descent outperforms Gradient Descent in recovering a high-dimensional signal in a glassy energy landscape

Stochastic Gradient Descent (SGD) is an out-of-equilibrium algorithm use...

0 Persia Jana Kamali, et al. ∙

∙ 12/20/2021

The effective noise of Stochastic Gradient Descent

Stochastic Gradient Descent (SGD) is the workhorse algorithm of deep lea...

0 Francesca Mignacco, et al. ∙

∙ 03/08/2021

Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem

In this paper we investigate how gradient-based algorithms such as gradi...

0 Francesca Mignacco, et al. ∙

∙ 02/23/2021

Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problem

When optimizing over loss functions it is common practice to use momentu...

0 Stefano Sarao Mannelli, et al. ∙

∙ 06/12/2020

Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval

Despite the widespread use of gradient-based algorithms for optimizing h...

0 Stefano Sarao Mannelli, et al. ∙

∙ 06/10/2020

Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification

We analyze in a closed form the learning dynamics of stochastic gradient...

57 Francesca Mignacco, et al. ∙

∙ 02/01/2019

Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model

In this work we analyse quantitatively the interplay between the loss la...

28 Stefano Sarao Mannelli, et al. ∙

∙ 12/21/2018

Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference

Gradient-descent-based algorithms and their stochastic versions have wid...

20 Stefano Sarao Mannelli, et al. ∙

∙ 07/03/2018

Approximate Survey Propagation for Statistical Inference

Approximate message passing algorithm enjoyed considerable attention in ...

14 Fabrizio Antenucci, et al. ∙

∙ 05/15/2018

On the glassy nature of the hard phase in inference problems

An algorithmically hard phase was described in a range of inference prob...

0 Fabrizio Antenucci, et al. ∙

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