Loop corrections in spin models through density consistency. - Alfredo Braunstein; Giovanni Catania; Luca Dall'Asta (CoRR, 2018)

Epidemic mitigation by statistical inference from contact tracing data. - Antoine Baker; Indaco Biazzo; Alfredo Braunstein; Giovanni Catania; Luca Dall'Asta; Alessandro Ingrosso; Florent Krzakala; Fabio Mazza; Marc Mézard; Anna Paola Muntoni; Maria Refinetti; Stefano Sarao Mannelli; et al. (CoRR, 2020)

Inference in conditioned dynamics through causality restoration. - Alfredo Braunstein; Giovanni Catania; Luca Dall'Asta; Matteo Mariani; Anna Paola Muntoni (CoRR, 2022)

Thermodynamics of bidirectional associative memories. - Adriano Barra; Giovanni Catania; Aurélien Decelle; Beatriz Seoane (CoRR, 2022)

Explaining the effects of non-convergent MCMC in the training of Energy-Based Models. - Elisabeth Agoritsas; Giovanni Catania; Aurélien Decelle; Beatriz Seoane (ICML, 2023)

Explaining the effects of non-convergent sampling in the training of Energy-Based Models. - Elisabeth Agoritsas; Giovanni Catania; Aurélien Decelle; Beatriz Seoane (CoRR, 2023)

The Copycat Perceptron: Smashing Barriers Through Collective Learning. - Giovanni Catania; Aurélien Decelle; Beatriz Seoane (CoRR, 2023)

Effectiveness of probabilistic contact tracing in epidemic containment: the role of super-spreaders and transmission paths reconstruction. - Anna Paola Muntoni; Fabio Mazza; Alfredo Braunstein; Giovanni Catania; Luca Dall'Asta (CoRR, 2023)

A theoretical framework for overfitting in energy-based modeling. - Giovanni Catania; Aurélien Decelle; Cyril Furtlehner; Beatriz Seoane (CoRR, 2025)

On the role of non-linear latent features in bipartite generative neural networks. - Tony Bonnaire; Giovanni Catania; Aurélien Decelle; Beatriz Seoane (CoRR, 2025)