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2020 – today
- 2023
[c1]Elisabeth Agoritsas, Giovanni Catania, Aurélien Decelle, Beatriz Seoane:
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models. ICML 2023: 322-336- [i7]Elisabeth Agoritsas
, Giovanni Catania, Aurélien Decelle, Beatriz Seoane:
Explaining the effects of non-convergent sampling in the training of Energy-Based Models. CoRR abs/2301.09428 (2023) - [i6]Giovanni Catania, Aurélien Decelle, Beatriz Seoane:
The Copycat Perceptron: Smashing Barriers Through Collective Learning. CoRR abs/2308.03743 (2023) - [i5]Anna Paola Muntoni, Fabio Mazza, Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta:
Effectiveness of probabilistic contact tracing in epidemic containment: the role of super-spreaders and transmission paths reconstruction. CoRR abs/2312.00910 (2023) - 2022
- [i4]Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta, Matteo Mariani, Anna Paola Muntoni:
Inference in conditioned dynamics through causality restoration. CoRR abs/2210.10179 (2022) - [i3]Adriano Barra, Giovanni Catania, Aurélien Decelle, Beatriz Seoane:
Thermodynamics of bidirectional associative memories. CoRR abs/2211.09694 (2022) - 2020
- [i2]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, Lenka Zdeborová:
Epidemic mitigation by statistical inference from contact tracing data. CoRR abs/2009.09422 (2020)
2010 – 2019
- 2018
- [i1]Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta:
Loop corrections in spin models through density consistency. CoRR abs/1810.10602 (2018)
Coauthor Index
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