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Physical Review. E
|
December 18, 2024
Learning of networked spreading models from noisy and incomplete data
Mateusz Wilinski, Andrey Y Lokhov
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 processes
Andrey Y Lokhov, David Saad
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
February 14, 2015
Dynamic message-passing equations for models with unidirectional dynamics
Andrey Y Lokhov, Marc Mézard, Lenka Zdeborová
Science Advances
|
March 21, 2018
Optimal structure and parameter learning of Ising models
Andrey 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 algorithm
Andrey Y Lokhov, Marc Mézard, Hiroki Ohta, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
December 17, 2013
Phase transition in random planar diagrams and RNA-type matching
Andrey 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 learning
Anastasiia Kim, Andrey Y Lokhov, Marc Vuffray, et al.
Proceedings. Biological Sciences
|
March 19, 2024
Congruity of genomic and epidemiological data in modelling of local cholera outbreaks
Mateusz Wilinski, Lauren Castro, Jeffrey Keithley, et al.
The Journal of Physical Chemistry Letters
|
July 25, 2018
Discovering a Transferable Charge Assignment Model Using Machine Learning
Andrew E Sifain, Nicholas Lubbers, Benjamin T Nebgen, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Physical Review. E
|
December 18, 2024
Learning of networked spreading models from noisy and incomplete data
Mateusz Wilinski, Andrey Y Lokhov
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 processes
Andrey Y Lokhov, David Saad
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
February 14, 2015
Dynamic message-passing equations for models with unidirectional dynamics
Andrey Y Lokhov, Marc Mézard, Lenka Zdeborová
Science Advances
|
March 21, 2018
Optimal structure and parameter learning of Ising models
Andrey 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 algorithm
Andrey Y Lokhov, Marc Mézard, Hiroki Ohta, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
December 17, 2013
Phase transition in random planar diagrams and RNA-type matching
Andrey 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 learning
Anastasiia Kim, Andrey Y Lokhov, Marc Vuffray, et al.
Proceedings. Biological Sciences
|
March 19, 2024
Congruity of genomic and epidemiological data in modelling of local cholera outbreaks
Mateusz Wilinski, Lauren Castro, Jeffrey Keithley, et al.
The Journal of Physical Chemistry Letters
|
July 25, 2018
Discovering a Transferable Charge Assignment Model Using Machine Learning
Andrew E Sifain, Nicholas Lubbers, Benjamin T Nebgen, et al.
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of 1