G. Sicuro

发表

One-loop diagrams in the Random Euclidean Matching Problem

Giorgio Parisi, Carlo Lucibello, Gabriele Sicuro, 2016, Physical review. E.

Random-link matching problems on random regular graphs

G. Parisi, G. Sicuro, Gianmarco Perrupato, 2019, Journal of Statistical Mechanics: Theory and Experiment.

The random fractional matching problem

G. Parisi, C. Lucibello, G. Sicuro, 2018, 1802.02997.

On the robustness of the $q$-Gaussian family

Gabriele Sicuro, Piergiulio Tempesta, Constantino Tsallis, 2015, 1506.02136.

Fluctuations in the random-link matching problem.

G. Parisi, G. Sicuro, E. M. Malatesta, 2019, Physical review. E.

Quadratic Stochastic Euclidean Bipartite Matching Problem.

S. Caracciolo, G. Sicuro, 2015, Physical review letters.

Scaling hypothesis for the Euclidean bipartite matching problem. II. Correlation functions.

S. Caracciolo, G. Sicuro, 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

Anomalous Scaling of the Optimal Cost in the One-Dimensional Random Assignment Problem

S. Caracciolo, G. Sicuro, Matteo D’Achille, 2018, Journal of Statistical Physics.

On the connection between linear combination of entropies and linear combination of extremizing distributions

C. Tsallis, G. Sicuro, Debarshee Bagchi, 2016, 1601.07951.

Random-link matching problems on random regular graphs

G. Parisi, G. Sicuro, Gianmarco Perrupato, 2019, Journal of Statistical Mechanics: Theory and Experiment.

Anomalous Scaling of the Optimal Cost in the One-Dimensional Random Assignment Problem

S. Caracciolo, G. Sicuro, Matteo D’Achille, 2018, Journal of Statistical Physics.

Random Assignment Problems on 2d Manifolds

S. Caracciolo, A. Sportiello, E. Caglioti, 2020, Journal of Statistical Physics.

Planted matching problems on random hypergraphs

G. Sicuro, Lenka Zdeborov'a, Urte Adomaityte, 2022, Physical review. E.

Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension

F. Krzakala, G. Sicuro, Maria Refinetti, 2022, ICML.

Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions

F. Krzakala, L. Zdeborová, G. Sicuro, 2021, NeurIPS.

Aligning random graphs with a sub-tree similarity message-passing algorithm

G. Semerjian, G. Sicuro, Lenka Zdeborov'a, 2021, Journal of Statistical Mechanics: Theory and Experiment.

Anomalous Scaling of the Optimal Cost in the One-Dimensional Random Assignment Problem

S. Caracciolo, G. Sicuro, Matteo D’Achille, 2018, Journal of Statistical Physics.

Mean-field model for the density of states of jammed soft spheres.

G. Parisi, G. Sicuro, F. Pietracaprina, 2018, Physical review. E.

A Scaling Hypothesis for the Euclidean Bipartite Matching Problem

Giorgio Parisi, Carlo Lucibello, Gabriele Sicuro, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Groups, information theory, and Einstein's likelihood principle.

G. Sicuro, P. Tempesta, 2015, Physical review. E.

Classification of Superstatistical Features in High Dimensions

P. Vivo, G. Sicuro, Urte Adomaityte, 2023, ArXiv.

Random Optimization Problems and Statistical Mechanics

Gabriele Sicuro, G. Sicuro, 2017 .

A foundational approach to the Lie theory for fractional order partial differential equations

Gabriele Sicuro, Piergiulio Tempesta, G. Sicuro, 2014, 1405.1017.

Criticality and conformality in the random dimer model.

G. Parisi, S. Caracciolo, G. Sicuro, 2020, Physical review. E.

One-dimensional Euclidean matching problem: exact solutions, correlation functions, and universality.

S. Caracciolo, G. Sicuro, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Recovery thresholds in the sparse planted matching problem

Lenka Zdeborov'a, G. Semerjian, G. Sicuro, 2020, Physical review. E.

Nonlinear inhomogeneous Fokker-Planck equations: Entropy and free-energy time evolution.

C. Tsallis, G. Sicuro, P. Rapčan, 2016, Physical review. E.

Random Euclidean matching problems in one dimension.

S. Caracciolo, G. Sicuro, Matteo D’Achille, 2017, Physical review. E.

High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality

G. Sicuro, Bruno Loureiro, Urte Adomaityte, 2023, ArXiv.

Supplementary information for Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions

F. Krzakala, G. Sicuro, Lenka Zdeborov'a, 2021 .