Research output per year
Research output per year
Personal profile
Education/Academic qualification
Physics, Doctor of Science, The Euclidean Matching Problem, Università di Pisa
1 Jan 2012 → 15 Jan 2015
Award Date: 15 Jan 2015
Physics, Master of Science, Simmetrie di equazioni di evoluzione alle derivate frazionarie, University of Salento
Award Date: 22 Jul 2011
Physics, Bachelor of Science, Simmetrie di Lie di equazioni di evoluzione ed applicazione all’equazione di Fokker–Planck, University of Salento
Award Date: 23 Jul 2009
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Dive into the research topics where Gabriele Sicuro is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Classification of Superstatistical Features in High Dimensions
Adomaityte, U., Sicuro, G. & Vivo, P., 21 Sept 2023, (Accepted/In press) 2023 Conference on Neural Information Processing Systems.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
Aligning random graphs with a sub-tree similarity message-passing algorithm
Piccioli, G., Semerjian, G., Sicuro, G. & Zdeborová, L., 1 Jun 2022, In: Journal of Statistical Mechanics: Theory and Experiment. 2022, 6, 063401.Research output: Contribution to journal › Article › peer-review
9 Citations (Scopus) -
Planted matching problems on random hypergraphs
Adomaityte, U., Toshniwal, A., Sicuro, G. & Zdeborová, L., 7 Nov 2022, In: Physical Review E. 106, 5, 054302.Research output: Contribution to journal › Article › peer-review
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Criticality and conformality in the random dimer model
Caracciolo, S., Fabbricatore, R., Gherardi, M., Marino, R., Parisi, G. & Sicuro, G., 16 Apr 2021, In: PHYSICAL REVIEW E. 103, 4, 042127.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)33 Downloads (Pure) -
Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions
Loureiro, B., Sicuro, G., Gerbelot, C., Pacco, A., Krzakala, F. & Zdeborová, L., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 10144-10157 14 p. (Advances in Neural Information Processing Systems; vol. 13).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
50 Citations (Scopus)