299 citations · 741 across the 8 of their papers we have counts for
8 papers
Learning curves of generic features maps for realistic datasets with a teacher-student model
Bruno Loureiro, Cédric Gerbelot, Hugo Cui +4
Teacher-student models provide a framework in which the typical-case performance of high-dimensional supervised learning can be described in closed form. The assumptions of Gaussia…
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…
The Gaussian equivalence of generative models for learning with shallow neural networks
Sebastian Goldt, Bruno Loureiro, Galen Reeves +3
Understanding the impact of data structure on the computational tractability of learning is a key challenge for the theory of neural networks. Many theoretical works do not explici…
Generalisation error in learning with random features and the hidden manifold model
Federica Gerace, Bruno Loureiro, Florent Krzakala +2
We study generalised linear regression and classification for a synthetically generated dataset encompassing different problems of interest, such as learning with random features,…
Cavity Method: Message Passing from a Physics Perspective
Gino Del Ferraro, Chuang Wang, Dani Martí +1
In this three-sections lecture cavity method is introduced as heuristic framework from a Physics perspective to solve probabilistic graphical models and it is presented both at the…
Linearization effect in multifractal analysis: Insights from the Random Energy Model
Florian Angeletti, Marc Mézard, Eric Bertin +1
The analysis of the linearization effect in multifractal analysis, and hence of the estimation of moments for multifractal processes, is revisited borrowing concepts from the stati…
Measuring equilibrium properties in aging systems
Silvio Franz, Marc Mézard, Giorgio Parisi +1
We corroborate the idea of a close connection between replica symmetry breaking and aging in the linear response function for a large class of finite-dimensional systems with short…
Mode-Coupling Approximations, Glass Theory and Disordered Systems
Jean-Philippe Bouchaud, Leticia Cugliandolo, Jorge Kurchan +1
We discuss the general link between mode-coupling like equations (which serve as the basis of some recent theories of supercooled liquids) and the dynamical equations governing mea…