Следене
Francesca Mignacco
Francesca Mignacco
Simons Junior Fellow, Princeton University & City University of New York
Потвърден имейл адрес: princeton.edu
Заглавие
Позовавания
Позовавания
Година
The role of regularization in classification of high-dimensional noisy gaussian mixture
F Mignacco, F Krzakala, Y Lu, P Urbani, L Zdeborova
International conference on machine learning, 6874-6883, 2020
892020
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification
F Mignacco, F Krzakala, P Urbani, L Zdeborová
Advances in Neural Information Processing Systems 33, 2020
762020
The effective noise of stochastic gradient descent
F Mignacco, P Urbani
Journal of Statistical Mechanics: Theory and Experiment 2022 (8), 083405, 2022
392022
Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem
F Mignacco, P Urbani, L Zdeborová
Machine Learning: Science and Technology 2 (3), 035029, 2021
372021
Rigorous dynamical mean-field theory for stochastic gradient descent methods
C Gerbelot, E Troiani, F Mignacco, F Krzakala, L Zdeborova
SIAM Journal on Mathematics of Data Science 6 (2), 400-427, 2024
242024
Learning curves for the multi-class teacher–student perceptron
E Cornacchia, F Mignacco, R Veiga, C Gerbelot, B Loureiro, L Zdeborová
Machine Learning: Science and Technology 4 (1), 015019, 2023
172023
Forward learning with top-down feedback: Empirical and analytical characterization
RF Srinivasan, F Mignacco, M Sorbaro, M Refinetti, A Cooper, G Kreiman, ...
arXiv preprint arXiv:2302.05440, 2023
122023
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers
L Tiberi, F Mignacco, K Irie, H Sompolinsky
arXiv preprint arXiv:2405.15926, 2024
22024
High-Dimensional Non-Convex Landscapes and Gradient Descent Dynamics
T Bonnaire, D Ghio, K Krishnamurthy, F Mignacco, A Yamamura, G Biroli
arXiv preprint arXiv:2308.03754, 2023
12023
Nonlinear classification of neural manifolds with contextual information
F Mignacco, CN Chou, SY Chung
arXiv preprint arXiv:2405.06851, 2024
2024
Nonlinear classification of neural manifolds with context information: geometrical properties and storage capacity
F Mignacco, CN Chou, SY Chung
Bulletin of the American Physical Society, 2024
2024
Minimax entropy principle and dimensionality reduction in neural data
L Di Carlo, F Mignacco, W Bialek
Bulletin of the American Physical Society, 2024
2024
Statistical physics insights on the dynamics and generalisation of artificial neural networks
F Mignacco
Université Paris-Saclay, 2022
2022
Statistical physics insights on learning in high dimensions
F Mignacco
APS March Meeting Abstracts 2022, B42. 001, 2022
2022
Understanding multi-pass stochastic gradient descent via dynamical mean-field theory
F Mignacco
APS March Meeting Abstracts 2022, K02. 009, 2022
2022
Learning from setbacks: the impact of adversarial initialization on generalization performance
K Ravichandran, Y Dandi, S Karp, F Mignacco
NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 0
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Статии 1–16