Ph.D. in Fisica , 28th cycle (2013-2016)
Ph.D. obtained in 2016
Dissertation:
Problemi inversi su reti: un approccio meccanico statistico
Tutors:
Riccardo ZecchinaPublications
Works published during the Ph.D. View all publications in Porto@Iris
- Braunstein, Alfredo; Ingrosso, Alessandro (2016)
Inference of causality in epidemics on temporal contact networks. In: SCIENTIFIC REPORTS, vol. 6. ISSN 2045-2322
Contributo su Rivista - Baldassi, Carlo; Borgs, Christian; Chayes, Jennifer T; Ingrosso, Alessandro; Lucibello, ... (2016)
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes. In: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, vol. 113, pp. E7655-E7662. ISSN 0027-8424
Contributo su Rivista - Ingrosso, Alessandro (2016)
Statistical Mechanics Approach to Inverse Problems on Networks. relatore: Zecchina R., 28. XXVIII Ciclo
Doctoral Thesis - Baldassi, Carlo; Ingrosso, Alessandro; Lucibello, Carlo; Saglietti, Luca; Zecchina, ... (2015)
Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses. In: PHYSICAL REVIEW LETTERS, vol. 115. ISSN 0031-9007
Contributo su Rivista