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Physical Review. E|December 18, 2024
Learning of networked spreading models from noisy and incomplete dataMateusz Wilinski, Andrey Y LokhovProceedings. Biological Sciences|March 19, 2024
Congruity of genomic and epidemiological data in modelling of local cholera outbreaksMateusz Wilinski, Lauren Castro, Jeffrey Keithley, et al.Proceedings of the National Academy of Sciences of the United States of America|September 14, 2017
Optimal deployment of resources for maximizing impact in spreading processesAndrey Y Lokhov, David SaadPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 14, 2015
Dynamic message-passing equations for models with unidirectional dynamicsAndrey Y Lokhov, Marc Mézard, Lenka ZdeborováPhysical Review. E|September 16, 2021
Detecting hidden layers from spreading dynamics on complex networksŁukasz G Gajewski, Jan Chołoniewski, Mateusz WilinskiScience Advances|March 21, 2018
Optimal structure and parameter learning of Ising modelsAndrey Y Lokhov, Marc Vuffray, Sidhant Misra, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 15, 2014
Inferring the origin of an epidemic with a dynamic message-passing algorithmAndrey Y Lokhov, Marc Mézard, Hiroki Ohta, et al.Physical Review. E|May 22, 2019
Detectability of macroscopic structures in directed asymmetric stochastic block modelMateusz Wilinski, Piero Mazzarisi, Daniele Tantari, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 17, 2013
Phase transition in random planar diagrams and RNA-type matchingAndrey Y Lokhov, Olga V Valba, Mikhail V Tamm, et al.BMC Bioinformatics|June 12, 2026
Practical phylogenetic usage of theoretical advances in distance-based tree learningAnastasiia Kim, Andrey Y Lokhov, Marc Vuffray, et al.Pageof 2