A variational description of the ground state structure in random satisfiability problems - Giulio Biroli; Rémi Monasson; Martin Weigt (CoRR, 1999)

The number of guards needed by a museum: A phase transition in vertex covering of random graphs - Martin Weigt; Alexander K. Hartmann (CoRR, 2000)

Typical solution time for a vertex-covering algorithm on finite-connectivity random graphs - Martin Weigt; Alexander K. Hartmann (CoRR, 2000)

Simplest random K-satisfiability problem - Federico Ricci-Tersenghi; Martin Weigt; Riccardo Zecchina (CoRR, 2000)

Hiding solutions in random satisfiability problems: A statistical mechanics approach - Wolfgang Barthel; Alexander K. Hartmann; Michele Leone; Federico Ricci-Tersenghi; Martin Weigt; Riccardo Zecchina (CoRR, 2001)

Statistical mechanics perspective on the phase transition in vertex covering of finite-connectivity random graphs. - Alexander K. Hartmann; Martin Weigt (Theor. Comput. Sci., 2001)

Computational complexity arising from degree correlations in networks - Alexei Vázquez; Martin Weigt (CoRR, 2002)

Coloring random graphs - Roberto Mulet; Andrea Pagnani; Martin Weigt; Riccardo Zecchina (CoRR, 2002)

Constraint Satisfaction by Survey Propagation - Alfredo Braunstein; Marc Mézard; Martin Weigt; Riccardo Zecchina (CoRR, 2002)

Solving satisfiability problems by fluctuations: The dynamics of stochastic local search algorithms - Wolfgang Barthel; Alexander K. Hartmann; Martin Weigt (CoRR, 2003)

Threshold values, stability analysis and high-q asymptotics for the coloring problem on random graphs - Florent Krzakala; Andrea Pagnani; Martin Weigt (CoRR, 2004)

Phase transition and finite-size scaling in the vertex-cover problem. - Alexander K. Hartmann; Wolfgang Barthel; Martin Weigt (Comput. Phys. Commun., 2005)

Constraint Satisfaction by Survey Propagation. - Alfredo Braunstein; Marc Mézard; Martin Weigt; Riccardo Zecchina (Computational Complexity and Statistical Physics, 2006)

Message passing for vertex covers - Martin Weigt; Haijun Zhou (CoRR, 2006)

Clustering by soft-constraint affinity propagation: applications to gene-expression data. - Michele Leone; Sumedha; Martin Weigt (Bioinform., 2007)

The importance of dilution in the inference of biological networks. - Alejandro Lage-Castellanos; Andrea Pagnani; Martin Weigt (Allerton, 2009)

Aligning graphs and finding substructures by message passing - S. Bradde; Alfredo Braunstein; H. Mahmoudi; F. Tria; Martin Weigt; Riccardo Zecchina (CoRR, 2009)

Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach. - Marc Bailly-Bechet; Alfredo Braunstein; Andrea Pagnani; Martin Weigt; Riccardo Zecchina (BMC Bioinform., 2010)

From Principal Component to Direct Coupling Analysis of Coevolution in Proteins: Low-Eigenvalue Modes are Needed for Structure Prediction. - Simona Cocco; Rémi Monasson; Martin Weigt (PLoS Comput. Biol., 2013)

Perturbation Biology: Inferring Signaling Networks in Cellular Systems. - Evan J. Molinelli; Anil Korkut; Weiqing Wang; Martin L. Miller; Nicholas Paul Gauthier; Xiaohong Jing; Poorvi Kaushik; Qin He; Gordon B. Mills; David B. Solit; Christine A. Pratilas; Martin Weigt; et al. (PLoS Comput. Biol., 2013)

Meet-U: Educating through research immersion. - Nika Abdollahi; Alexandre Albani; Éric Anthony; Agnes Baud; Mélissa Cardon; Robert Clerc; Dariusz Czernecki; Romain Conte; Laurent David; Agathe Delaune; Samia Djerroud; Pauline Fourgoux; et al. (PLoS Comput. Biol., 2018)

Toward Inferring Potts Models for Phylogenetically Correlated Sequence Data. - Edwin Rodriguez Horta; Pierre Barrat-Charlaix; Martin Weigt (Entropy, 2019)

A multi-scale coevolutionary approach to predict interactions between protein domains. - Giancarlo Croce; Thomas Gueudré; Maria Ruiz-Cuevas; Victoria Keidel; Matteo Figliuzzi; Hendrik Szurmant; Martin Weigt (PLoS Comput. Biol., 2019)

Phylogenetic correlations can suffice to infer protein partners from sequences. - Guillaume Marmier; Martin Weigt; Anne-Florence Bitbol (PLoS Comput. Biol., 2019)

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

FilterDCA: Interpretable supervised contact prediction using inter-domain coevolution. - Maureen Muscat; Giancarlo Croce; Edoardo Sarti; Martin Weigt (PLoS Comput. Biol., 2020)

Predicting Interacting Protein Pairs by Coevolutionary Paralog Matching. - Thomas Gueudré; Carlo Baldassi; Andrea Pagnani; Martin Weigt (Protein-Protein Interaction Networks, 2020)

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

On the effect of phylogenetic correlations in coevolution-based contact prediction in proteins. - Edwin Rodriguez Horta; Martin Weigt (PLoS Comput. Biol., 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)

Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins. - Carlos A. Gandarilla-Pérez; Sergio Pinilla; Anne-Florence Bitbol; Martin Weigt (PLoS Comput. Biol., 2023)

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)