Amorphous packings of hard spheres in large space dimension - Giorgio Parisi; Francesco Zamponi (CoRR, 2006)

On the high density behavior of Hamming codes with fixed minimum distance - Giorgio Parisi; Francesco Zamponi (CoRR, 2006)

Can rare SAT formulas be easily recognized? On the efficiency of message passing algorithms for K-SAT at large clause-to-variable ratios - Fabrizio Altarelli; Rémi Monasson; Francesco Zamponi (CoRR, 2006)

Relationship between clustering and algorithmic phase transitions in the random k-XORSAT model and its NP-complete extensions - Fabrizio Altarelli; Rémi Monasson; Francesco Zamponi (CoRR, 2007)

A review of the Statistical Mechanics approach to Random Optimization Problems - Fabrizio Altarelli; Rémi Monasson; Guilhem Semerjian; Francesco Zamponi (CoRR, 2008)

First-order transitions and the performance of quantum algorithms in random optimization problems. - Thomas Jörg; Florent Krzakala; Guilhem Semerjian; Francesco Zamponi (CoRR, 2009)

Connections to Statistical Physics. - Fabrizio Altarelli; Rémi Monasson; Guilhem Semerjian; Francesco Zamponi (Handbook of Satisfiability, 2009)

Mean field theory of spin glasses. - Francesco Zamponi (CoRR, 2010)

The Quantum Adiabatic Algorithm applied to random optimization problems: the quantum spin glass perspective - Victor Bapst; Laura Foini; Florent Krzakala; Guilhem Semerjian; Francesco Zamponi (CoRR, 2012)

The effect of quantum fluctuations on the coloring of random graphs - Victor Bapst; Guilhem Semerjian; Francesco Zamponi (CoRR, 2013)

Sparse generative modeling of protein-sequence families. - Pierre Barrat-Charlaix; Anna Paola Muntoni; Kai Shimagaki; Martin Weigt; Francesco Zamponi (CoRR, 2020)

adabmDCA: adaptive Boltzmann machine learning for biological sequences. - Anna Paola Muntoni; Andrea Pagnani; Martin Weigt; Francesco Zamponi (BMC Bioinform., 2021)

Connections to Statistical Physics. - Fabrizio Altarelli; Rémi Monasson; Guilhem Semerjian; Francesco Zamponi (Handbook of Satisfiability, 2021)

Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems. - Simone Ciarella; Jeanne Trinquier; Martin Weigt; Francesco Zamponi (Mach. Learn. Sci. Technol., 2023)

Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks. - Brandon Livio Annesi; Enrico M. Malatesta; Francesco Zamponi (CoRR, 2024)

adabmDCA 2.0 - a flexible but easy-to-use package for Direct Coupling Analysis. - Lorenzo Rosset; Roberto Netti; Anna Paola Muntoni; Martin Weigt; Francesco Zamponi (CoRR, 2025)

On the performance of machine-learning-assisted Monte Carlo in sampling from simple statistical physics models. - Luca Maria Del Bono; Federico Ricci-Tersenghi; Francesco Zamponi (CoRR, 2025)