Pierfrancesco Urbani

18 papers A* 5Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks. CoRR Andrea Montanari, Pierfrancesco Urbani
2024	J	`jnl`	Generative modeling through internal high-dimensional chaotic activity. CoRR Samantha J. Fournier, Pierfrancesco Urbani
2023	J	`jnl`	Stochastic Gradient Descent outperforms Gradient Descent in recovering a high-dimensional signal in a glassy energy landscape. CoRR Persia Jana Kamali, Pierfrancesco Urbani
2021	A*	`conf`	Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems. NeurIPS Stefano Sarao Mannelli, Pierfrancesco Urbani
2021	J	`jnl`	Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problem. CoRR Stefano Sarao Mannelli, Pierfrancesco Urbani
2021	J	`jnl`	Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem. CoRR Francesca Mignacco, Pierfrancesco Urbani, Lenka Zdeborová
2021	J	`jnl`	Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem. Mach. Learn. Sci. Technol. Francesca Mignacco, Pierfrancesco Urbani, Lenka Zdeborová
2021	J	`jnl`	The effective noise of Stochastic Gradient Descent. CoRR Francesca Mignacco, Pierfrancesco Urbani
2020	A*	`conf`	Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval. NeurIPS Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2020	J	`jnl`	Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval. CoRR Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2020	A*	`conf`	Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification. NeurIPS Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2020	J	`jnl`	Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification. CoRR Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2020	A*	`conf`	The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture. ICML Francesca Mignacco, Florent Krzakala, Yue M. Lu, Pierfrancesco Urbani, Lenka Zdeborová
2019	A*	`conf`	Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models. ICML Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2019	J	`jnl`	Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model. CoRR Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2018	J	`jnl`	Approximate Survey Propagation for Statistical Inference. CoRR Fabrizio Antenucci, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2018	J	`jnl`	Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference. CoRR Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2018	J	`jnl`	On the glassy nature of the hard phase in inference problems. CoRR Fabrizio Antenucci, Silvio Franz, Pierfrancesco Urbani, Lenka Zdeborová