On the Universality of Noiseless Linear Estimation with Respect to the Measurement Matrix. - Alia Abbara; Antoine Baker; Florent Krzakala; Lenka Zdeborová (CoRR, 2019)

Learning performance in inverse Ising problems with sparse teacher couplings. - Alia Abbara; Yoshiyuki Kabashima; Tomoyuki Obuchi; Yingying Xu (CoRR, 2019)

Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices. - Cédric Gerbelot; Alia Abbara; Florent Krzakala (COLT, 2020)

Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning. - Alia Abbara; Benjamin Aubin; Florent Krzakala; Lenka Zdeborová (MSML, 2020)

Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima's Replica Formula). - Cédric Gerbelot; Alia Abbara; Florent Krzakala (IEEE Trans. Inf. Theory, 2023)

Mutant fate in spatially structured populations on graphs: Connecting models to experiments. - Alia Abbara; Lisa Pagani; Celia García-Pareja; Anne-Florence Bitbol (PLoS Comput. Biol., 2024)

Impact of phylogeny on the inference of functional sectors from protein sequence data. - Nicola Dietler; Alia Abbara; Subham Choudhury; Anne-Florence Bitbol (PLoS Comput. Biol., 2024)