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Pierfrancesco Urbani
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2020 – today
- 2024
- [i11]Samantha J. Fournier, Pierfrancesco Urbani:
Generative modeling through internal high-dimensional chaotic activity. CoRR abs/2405.10822 (2024) - 2023
- [i10]Persia Jana Kamali, Pierfrancesco Urbani:
Stochastic Gradient Descent outperforms Gradient Descent in recovering a high-dimensional signal in a glassy energy landscape. CoRR abs/2309.04788 (2023) - 2021
- [j1]Francesca Mignacco
, Pierfrancesco Urbani, Lenka Zdeborová:
Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem. Mach. Learn. Sci. Technol. 2(3): 35029 (2021) - [c5]Stefano Sarao Mannelli, Pierfrancesco Urbani:
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems. NeurIPS 2021: 187-199 - [i9]Stefano Sarao Mannelli, Pierfrancesco Urbani:
Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problem. CoRR abs/2102.11755 (2021) - [i8]Francesca Mignacco, Pierfrancesco Urbani, Lenka Zdeborová:
Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem. CoRR abs/2103.04902 (2021) - [i7]Francesca Mignacco, Pierfrancesco Urbani:
The effective noise of Stochastic Gradient Descent. CoRR abs/2112.10852 (2021) - 2020
- [c4]Francesca Mignacco, Florent Krzakala
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture. ICML 2020: 6874-6883 - [c3]Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval. NeurIPS 2020 - [c2]Francesca Mignacco, Florent Krzakala
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification. NeurIPS 2020 - [i6]Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification. CoRR abs/2006.06098 (2020) - [i5]Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval. CoRR abs/2006.06997 (2020)
2010 – 2019
- 2019
- [c1]Stefano Sarao Mannelli
Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models. ICML 2019: 4333-4342 - [i4]Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model. CoRR abs/1902.00139 (2019) - 2018
- [i3]Fabrizio Antenucci, Silvio Franz, Pierfrancesco Urbani, Lenka Zdeborová:
On the glassy nature of the hard phase in inference problems. CoRR abs/1805.05857 (2018) - [i2]Fabrizio Antenucci, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Approximate Survey Propagation for Statistical Inference. CoRR abs/1807.01296 (2018) - [i1]Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference. CoRR abs/1812.09066 (2018)
Coauthor Index
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