Francesca Mignacco

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Learning Curves

Matrix Factorization

Science Classroom

Contextual Information

Top Venues

Mach. Learn. Sci. Technol.

SIAM J. Math. Data Sci.

Publications

Lorenzo Tiberi, Francesca Mignacco, Kazuki Irie, Haim Sompolinsky
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers. CoRR (2024)
Ravi Francesco Srinivasan, Francesca Mignacco, Martino Sorbaro, Maria Refinetti, Avi Cooper, Gabriel Kreiman, Giorgia Dellaferrera
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization. ICLR (2024)
Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco, Florent Krzakala, Lenka Zdeborová
Rigorous Dynamical Mean-Field Theory for Stochastic Gradient Descent Methods. SIAM J. Math. Data Sci. 6 (2) (2024)
Francesca Mignacco, Chi-Ning Chou, SueYeon Chung
Nonlinear classification of neural manifolds with contextual information. CoRR (2024)
Ravi Francesco Srinivasan, Francesca Mignacco, Martino Sorbaro, Maria Refinetti, Avi Cooper, Gabriel Kreiman, Giorgia Dellaferrera
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization. CoRR (2023)
Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová
Learning curves for the multi-class teacher-student perceptron. Mach. Learn. Sci. Technol. 4 (1) (2023)
Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco, Florent Krzakala, Lenka Zdeborová
Rigorous dynamical mean field theory for stochastic gradient descent methods. CoRR (2022)
Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová
Learning curves for the multi-class teacher-student perceptron. CoRR (2022)
Francesca Mignacco, Pierfrancesco Urbani, Lenka Zdeborová
Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem. CoRR (2021)
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) (2021)
Francesca Mignacco, Pierfrancesco Urbani
The effective noise of Stochastic Gradient Descent. CoRR (2021)
Francesca Mignacco, Florent Krzakala, Yue Lu, Pierfrancesco Urbani, Lenka Zdeborová
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture. ICML (2020)
Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification. NeurIPS (2020)
Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification. CoRR (2020)
Francesca Mignacco, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
The role of regularization in classification of high-dimensional noisy Gaussian mixture. CoRR (2020)