Obserwuj
Giovanni Catania
Giovanni Catania
Zweryfikowany adres z ucm.es
Tytuł
Cytowane przez
Cytowane przez
Rok
Epidemic mitigation by statistical inference from contact tracing data
A Baker, I Biazzo, A Braunstein, G Catania, L Dall’Asta, A Ingrosso, ...
Proceedings of the National Academy of Sciences 118 (32), e2106548118, 2021
322021
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
E Agoritsas, G Catania, A Decelle, B Seoane
International Conference on Machine Learning, 322-336, 2023
12*2023
Thermodynamics of bidirectional associative memories
A Barra, G Catania, A Decelle, B Seoane
Journal of Physics A: Mathematical and Theoretical 56 (20), 205005, 2023
52023
Loop corrections in spin models through density consistency
A Braunstein, G Catania, L Dall’Asta
Physical Review Letters 123 (2), 020604, 2019
52019
Small-Coupling Dynamic Cavity: a Bayesian mean-field framework for epidemic inference
A Braunstein, G Catania, L Dall'Asta, M Mariani, F Mazza, M Tarabolo
arXiv preprint arXiv:2306.03829, 2023
22023
Inference in conditioned dynamics through causality restoration
A Braunstein, G Catania, L Dall’Asta, M Mariani, AP Muntoni
Scientific Reports 13 (1), 7350, 2023
22023
A density consistency approach to the inverse Ising problem
A Braunstein, G Catania, L Dall’Asta, AP Muntoni
Journal of Statistical Mechanics: Theory and Experiment 2021 (3), 033416, 2021
12021
Effectiveness of probabilistic contact tracing in epidemic containment: The role of superspreaders and transmission path reconstruction
AP Muntoni, F Mazza, A Braunstein, G Catania, L Dall’Asta
PNAS nexus 3 (9), pgae377, 2024
2024
Copycat perceptron: Smashing barriers through collective learning
G Catania, A Decelle, B Seoane
Physical Review E 109 (6), 065313, 2024
2024
Approximate inference on graphical models: message-passing, loop-corrected methods and applications
G Catania
Politecnico di Torino, 2021
2021
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–10