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 | 30 | 2021 |
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 | 8* | 2023 |
Loop corrections in spin models through density consistency A Braunstein, G Catania, L Dall’Asta Physical Review Letters 123 (2), 020604, 2019 | 5 | 2019 |
Inference in conditioned dynamics through causality restoration A Braunstein, G Catania, L Dall’Asta, M Mariani, AP Muntoni Scientific Reports 13 (1), 7350, 2023 | 2 | 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 | 2 | 2023 |
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 | 1 | 2023 |
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 | 1 | 2021 |
Effectiveness of probabilistic contact tracing in epidemic containment: the role of super-spreaders and transmission paths reconstruction AP Muntoni, F Mazza, A Braunstein, G Catania, L Dall'Asta arXiv preprint arXiv:2312.00910, 2023 | | 2023 |
The Copycat Perceptron: Smashing Barriers Through Collective Learning G Catania, A Decelle, B Seoane arXiv preprint arXiv:2308.03743, 2023 | | 2023 |
Approximate inference on graphical models: message-passing, loop-corrected methods and applications G Catania Politecnico di Torino, 2021 | | 2021 |