Francesca Mignacco

According to our database, Francesca Mignacco authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rigorous Dynamical Mean-Field Theory for Stochastic Gradient Descent Methods.

Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco, Florent Krzakala, Lenka Zdeborová

SIAM J. Math. Data Sci., 2024

Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers.

Lorenzo Tiberi, Francesca Mignacco, Kazuki Irie, Haim Sompolinsky

CoRR, 2024

Nonlinear classification of neural manifolds with contextual information.

Francesca Mignacco, Chi-Ning Chou, SueYeon Chung

CoRR, 2024

2023

Learning curves for the multi-class teacher-student perceptron.

Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová

Mach. Learn. Sci. Technol., March, 2023

Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization.

Ravi Francesco Srinivasan, Francesca Mignacco, Martino Sorbaro, Maria Refinetti, Avi Cooper, Gabriel Kreiman, Giorgia Dellaferrera

CoRR, 2023

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., September, 2021

The effective noise of Stochastic Gradient Descent.

Francesca Mignacco, Pierfrancesco Urbani

CoRR, 2021

2020

The role of regularization in classification of high-dimensional noisy Gaussian mixture.

Francesca Mignacco, Florent Krzakala, Yue M. Lu, Lenka Zdeborová

CoRR, 2020

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

Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová

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.

Francesca Mignacco, Florent Krzakala, Yue Lu, Pierfrancesco Urbani, Lenka Zdeborová

Proceedings of the 37th International Conference on Machine Learning, 2020