Pierfrancesco Urbani

According to our database1, Pierfrancesco Urbani authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Generative modeling through internal high-dimensional chaotic activity.
CoRR, 2024

2023
Stochastic Gradient Descent outperforms Gradient Descent in recovering a high-dimensional signal in a glassy energy landscape.
CoRR, 2023

2021
Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem.
Mach. Learn. Sci. Technol., September, 2021

The effective noise of Stochastic Gradient Descent.
CoRR, 2021

Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problem.
CoRR, 2021

Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model.
CoRR, 2019

Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference.
CoRR, 2018

Approximate Survey Propagation for Statistical Inference.
CoRR, 2018

On the glassy nature of the hard phase in inference problems.
CoRR, 2018


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