52 citations · 160 across the 10 of their papers we have counts for
4 papers · 1 filter
Bootstrapping traceless symmetric scalars
Marten Reehorst, Maria Refinetti, Alessandro Vichi
We use numerical bootstrap techniques to study correlation functions of traceless symmetric tensors of with two indexes . We obtain upper bounds on operator dimensio…
Align, then memorise: the dynamics of learning with feedback alignment
Maria Refinetti, Stéphane d'Ascoli, Ruben Ohana +1
Direct Feedback Alignment (DFA) is emerging as an efficient and biologically plausible alternative to the ubiquitous backpropagation algorithm for training deep neural networks. De…
Epidemic mitigation by statistical inference from contact tracing data
Antoine Baker, Indaco Biazzo, Alfredo Braunstein +10
Contact-tracing is an essential tool in order to mitigate the impact of pandemic such as the COVID-19. In order to achieve efficient and scalable contact-tracing in real time, digi…
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli +1
Deep neural networks can achieve remarkable generalization performances while interpolating the training data perfectly. Rather than the U-curve emblematic of the bias-variance tra…