Clarissa Lauditi

According to our database, Clarissa Lauditi authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer.

Clarissa Lauditi, Cengiz Pehlevan, Blake Bordelon

CoRR, May, 2026

2025

Transfer Learning in Infinite Width Feature Learning Networks.

Clarissa Lauditi, Blake Bordelon, Cengiz Pehlevan

CoRR, July, 2025

Generalization performance of narrow one-hidden layer networks in the teacher-student setting.

Jean Barbier, Federica Gerace, Alessandro Ingrosso, Clarissa Lauditi, Enrico M. Malatesta, Gibbs Nwemadji, Rodrigo Pérez Ortiz

CoRR, July, 2025

Adaptive kernel predictors from feature-learning infinite limits of neural networks.

Clarissa Lauditi, Blake Bordelon, Cengiz Pehlevan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Random Features Hopfield Networks generalize retrieval to previously unseen examples.

Silvio Kalaj, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta, Matteo Negri

CoRR, 2024

2023

Sparse Representations, Inference and Learning.

Clarissa Lauditi, Emanuele Troiani, Marc Mézard

CoRR, 2023

The star-shaped space of solutions of the spherical negative perceptron.

Brandon Livio Annesi, Clarissa Lauditi, Carlo Lucibello, Enrico M. Malatesta, Gabriele Perugini, Fabrizio Pittorino, Luca Saglietti

CoRR, 2023

The Hidden-Manifold Hopfield Model and a learning phase transition.

Matteo Negri, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta

CoRR, 2023

2021

Learning through atypical "phase transitions" in overparameterized neural networks.

Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Rosalba Pacelli, Gabriele Perugini, Riccardo Zecchina

CoRR, 2021

Unveiling the structure of wide flat minima in neural networks.

Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina

CoRR, 2021