Elisabetta Cornacchia

Computer Science · Physical Sciences

3h-index38citations19works0.52yr avg
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Research Topics

Neural Networks and Applications(8), Domain Adaptation and Few-Shot Learning(4), Machine Learning and Algorithms(4), Machine Learning and ELM(3), Face and Expression Recognition(2)

Publications19 total

Positive Distribution Shift as a Framework for Understanding Tractable Learning
arXiv (Cornell University)·2026Open Access
Positive Distribution Shift as a Framework for Understanding Tractable Learning
ArXiv.org·2026Open Access
Intransitive dice tournament is not quasirandom
Combinatorial Theory·2025· 3 citedOpen Access
Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions
arXiv (Cornell University)·2025Open Access
Learning High-Degree Parities: The Crucial Role of the Initialization
arXiv (Cornell University)·2024Open Access
Theory and applications of the sum-of-squares technique
Journal of Statistical Mechanics Theory and Experiment·2024Open Access
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs
arXiv (Cornell University)·2023· 4 citedOpen Access
Theory and applications of the Sum-Of-Squares technique
arXiv (Cornell University)·2023· 1 citedOpen Access
A Mathematical Model for Curriculum Learning for Parities
arXiv (Cornell University)·2023Open Access
Learning curves for the multi-class teacher–student perceptron
Machine Learning Science and Technology·2023· 16 citedOpen Access
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
arXiv (Cornell University)·2022· 2 citedOpen Access
Learning curves for the multi-class teacher-student perceptron
arXiv (Cornell University)·2022· 2 citedOpen Access
An initial alignment between neural network and target is needed for gradient descent to learn
arXiv (Cornell University)·2022· 2 citedOpen Access
Polarization in Attraction-Repulsion Models
Infoscience (Ecole Polytechnique Fédérale de Lausanne)·2021· 2 citedOpen Access
Regularization by Misclassification in ReLU Neural Networks
arXiv (Cornell University)·2021Open Access
Stochastic block model entropy and broadcasting on trees with survey
Conference on Learning Theory·2021
Stochastic block model entropy and broadcasting on trees with survey
arXiv (Cornell University)·2021· 6 citedOpen Access
Intransitive dice tournament is not quasirandom
arXiv (Cornell University)·2020Open Access
Polarization in Attraction-Repulsion Models
2020Open Access

Frequent Co-authors

Emmanuel Abbé(8), Jan Hązła(5), Francesca Mignacco(2), Rodrigo Veiga(2), Cédric Gerbelot(2), Bruno Loureiro(2), Lenka Zdeborová(2), Yuzhou Gu(2), Yury Polyanskiy(2), Aryo Lotfi(2), Neta Singer(2), Luca Pesce(2), Giovanni Piccioli(2), Elchanan Mossel(2), Marko Medvedev(2), Idan Attias(2), Theodor Misiakiewicz(2), Gal Vardi(2), Zhaoran Wang(2), Christopher Marquis(1)