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Francesca Mignacco
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2020 – today
- 2024
- [j3]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): 400-427 (2024) - [c3]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 - [i10]Francesca Mignacco, Chi-Ning Chou, SueYeon Chung:
Nonlinear classification of neural manifolds with contextual information. CoRR abs/2405.06851 (2024) - [i9]Lorenzo Tiberi, Francesca Mignacco, Kazuki Irie, Haim Sompolinsky:
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers. CoRR abs/2405.15926 (2024) - [i8]Francesco Mori, Stefano Sarao Mannelli, Francesca Mignacco:
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory. CoRR abs/2409.18061 (2024) - 2023
- [j2]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): 15019 (2023) - [i7]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 abs/2302.05440 (2023) - 2022
- [i6]Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová:
Learning curves for the multi-class teacher-student perceptron. CoRR abs/2203.12094 (2022) - [i5]Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco, Florent Krzakala, Lenka Zdeborová:
Rigorous dynamical mean field theory for stochastic gradient descent methods. CoRR abs/2210.06591 (2022) - 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) - [i4]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) - [i3]Francesca Mignacco, Pierfrancesco Urbani:
The effective noise of Stochastic Gradient Descent. CoRR abs/2112.10852 (2021) - 2020
- [c2]Francesca Mignacco, Florent Krzakala, Yue Lu, Pierfrancesco Urbani, Lenka Zdeborová:
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture. ICML 2020: 6874-6883 - [c1]Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification. NeurIPS 2020 - [i2]Francesca Mignacco, Florent Krzakala, Yue M. Lu, Lenka Zdeborová:
The role of regularization in classification of high-dimensional noisy Gaussian mixture. CoRR abs/2002.11544 (2020) - [i1]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)
Coauthor Index
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