WebView Maria Resciniti results including current phone number, address, relatives, background check report, and property record with Whitepages. Menu Log In Sign Up WebMaria Refinetti (Laboratoire de Physique de l’Ecole Normale Supérieure Paris) Stéphane d'Ascoli (ENS / FAIR, Paris) Ruben Ohana (Ecole Normale Supérieure & LightOn) Sebastian Goldt (International School of Advanced Studies (SISSA)) I'm an assistant professor working on theories of learning in neural networks.

Optimal learning rate schedules in high-dimensional non-convex ...

WebJul 18, 2024 · Here, we propose a theory of feedback alignment algorithms. We first show that learning in shallow networks proceeds in two steps: an alignment phase, where the model adapts its weights to align the approximate gradient with the true gradient of the loss function, is followed by a memorisation phase, where the model focuses on fitting the data. WebNov 21, 2024 · Neural networks trained with SGD learn distributions of increasing complexity 11/21/2024 ∙ by Maria Refinetti, et al. ∙ SISSA ∙ 0 ∙ share The ability of deep neural networks to generalise well even when they interpolate their training data has been explained using various "simplicity biases". barbara dupre dentista

[2009.09422] Epidemic mitigation by statistical inference from …

WebMaria Refinetti (Laboratoire de Physique de l’Ecole Normale Supérieure Paris) Gabriele Sicuro (King's College London) FLORENT KRZAKALA (EPFL) Related Events (a corresponding poster, oral, or spotlight) 2024 Spotlight: Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension » WebJul 1, 2024 · Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed. Maria Refinetti, Sebastian Goldt, Florent Krzakala, Lenka … putty neue zeile