Cornacchia, Elisabetta

7 publications

ICLR 2025 Learning High-Degree Parities: The Crucial Role of the Initialization Emmanuel Abbe, Elisabetta Cornacchia, Jan Hązła, Donald Kougang-Yombi

COLT 2025 Low-Dimensional Functions Are Efficiently Learnable Under Randomly Biased Distributions Elisabetta Cornacchia, Dan Mikulincer, Elchanan Mossel

ICML 2023 A Mathematical Model for Curriculum Learning for Parities Elisabetta Cornacchia, Elchanan Mossel

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

ICML 2022 An Initial Alignment Between Neural Network and Target Is Needed for Gradient Descent to Learn Emmanuel Abbe, Elisabetta Cornacchia, Jan Hazla, Christopher Marquis

NeurIPS 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

COLT 2021 Stochastic Block Model Entropy and Broadcasting on Trees with Survey Emmanuel Abbe, Elisabetta Cornacchia, Yuzhou Gu, Yury Polyanskiy