Polarization in Attraction-Repulsion Models. - Elisabetta Cornacchia; Neta Singer; Emmanuel Abbe (ISIT, 2020)

Stochastic block model entropy and broadcasting on trees with survey. - Emmanuel Abbe; Elisabetta Cornacchia; Yuzhou Gu; Yury Polyanskiy (COLT, 2021)

Regularization by Misclassification in ReLU Neural Networks. - Elisabetta Cornacchia; Jan Hazla; Ido Nachum; Amir Yehudayoff (CoRR, 2021)

An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn. - Emmanuel Abbe; Elisabetta Cornacchia; Jan Hazla; Christopher Marquis (ICML, 2022)

Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures. - Emmanuel Abbe; Samy Bengio; Elisabetta Cornacchia; Jon M. Kleinberg; Aryo Lotfi; Maithra Raghu; Chiyuan Zhang (NeurIPS, 2022)

A Mathematical Model for Curriculum Learning for Parities. - Elisabetta Cornacchia; Elchanan Mossel (ICML, 2023)

Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs. - Emmanuel Abbe; Elisabetta Cornacchia; Aryo Lotfi (NeurIPS, 2023)

A Mathematical Model for Curriculum Learning. - Elisabetta Cornacchia; Elchanan Mossel (CoRR, 2023)

Theory and applications of the Sum-Of-Squares technique. - Francis R. Bach; Elisabetta Cornacchia; Luca Pesce; Giovanni Piccioli (CoRR, 2023)

Learning curves for the multi-class teacher-student perceptron. - Elisabetta Cornacchia; Francesca Mignacco; Rodrigo Veiga 001; Cédric Gerbelot; Bruno Loureiro; Lenka Zdeborová (Mach. Learn. Sci. Technol., 2023)

Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions. - Elisabetta Cornacchia; Dan Mikulincer; Elchanan Mossel (COLT, 2025)

Learning High-Degree Parities: The Crucial Role of the Initialization. - Emmanuel Abbe; Elisabetta Cornacchia; Jan Hazla; Donald Kougang-Yombi (ICLR, 2025)

Intransitive dice tournament is not quasirandom. - Elisabetta Cornacchia; Jan Hazla (Comb. Theory, 2025)