1 code implementation • 18 Mar 2022 • Eric Daoud, Luca Ganassali, Antoine Baker, Marc Lelarge
In these applications, there is somewhat of an asymmetry between users and items: items are viewed as static points, their embeddings, capacities and locations constraining the allocation.
no code implementations • 20 Sep 2020 • Antoine Baker, Indaco Biazzo, Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta, Alessandro Ingrosso, Florent Krzakala, Fabio Mazza, Marc Mézard, Anna Paola Muntoni, Maria Refinetti, Stefano Sarao Mannelli, Lenka Zdeborová
We conclude that probabilistic risk estimation is capable to enhance performance of digital contact tracing and should be considered in the currently developed mobile applications.
1 code implementation • 3 Apr 2020 • Antoine Baker, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová
We introduce Tree-AMP, standing for Tree Approximate Message Passing, a python package for compositional inference in high-dimensional tree-structured models.
no code implementations • 4 Dec 2019 • Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborová
We consider the problem of compressed sensing and of (real-valued) phase retrieval with random measurement matrix.
no code implementations • NeurIPS Workshop Deep_Invers 2019 • Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborova
We consider the problem of compressed sensing and of (real-valued) phase retrieval with random measurement matrix.
1 code implementation • 11 Jun 2019 • Alia Abbara, Antoine Baker, Florent Krzakala, Lenka Zdeborová
In a noiseless linear estimation problem, one aims to reconstruct a vector x* from the knowledge of its linear projections y=Phi x*.