Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approach
We propose a multitask learning approach to learn the parameters of a compartmental
discrete-time epidemic model from various data sources and use it to design optimal control …
discrete-time epidemic model from various data sources and use it to design optimal control …
Mechanics limits ecological diversity and promotes heterogeneity in confined bacterial communities
T Ma, J Rothschild, F Halabeya… - Proceedings of the …, 2024 - National Acad Sciences
Multispecies bacterial populations often inhabit confined and densely packed environments
where spatial competition determines the ecological diversity of the community. However …
where spatial competition determines the ecological diversity of the community. However …
Networks of reinforced stochastic processes: a complete description of the first-order asymptotics
G Aletti, I Crimaldi, A Ghiglietti - Stochastic Processes and their …, 2024 - Elsevier
We consider a finite collection of reinforced stochastic processes with a general network-
based interaction among them. We provide sufficient and necessary conditions for the …
based interaction among them. We provide sufficient and necessary conditions for the …
Inference in opinion dynamics under social pressure
A Jadbabaie, A Makur, E Mossel… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We introduce a new opinion dynamics model where a group of agents holds two kinds of
opinions: inherent and declared. Each agent's inherent opinion is fixed and unobservable by …
opinions: inherent and declared. Each agent's inherent opinion is fixed and unobservable by …
Social influence in signed networks
X He, J Lu, H Du, X Jin - IEEE Transactions on Computational …, 2023 - ieeexplore.ieee.org
Social influence has been widely discussed in various disciplines due to its important
sociological significance. However, the dynamics of social influence in signed networks …
sociological significance. However, the dynamics of social influence in signed networks …
Generating preferential attachment graphs via a Pólya urn with expanding colors
We introduce a novel preferential attachment model using the draw variables of a modified
Pólya urn with an expanding number of colors, notably capable of modeling influential …
Pólya urn with an expanding number of colors, notably capable of modeling influential …
The dynamics of retraction in epistemic networks
T LaCroix, A Geil, C O'Connor - Philosophy of Science, 2021 - cambridge.org
Sometimes retracted or refuted scientific information is used and propagated long after it is
understood to be misleading. Likewise, retracted news items may spread and persist …
understood to be misleading. Likewise, retracted news items may spread and persist …
Data-driven control of the COVID-19 outbreak via non-pharmaceutical interventions: A geometric programming approach
In this paper we propose a data-driven model for the spread of SARS-CoV-2 and use it to
design optimal control strategies of human-mobility restrictions that both curb the epidemic …
design optimal control strategies of human-mobility restrictions that both curb the epidemic …
A finite memory interacting Pólya contagion network and its approximating dynamical systems
We introduce a new model for contagion spread using a network of interacting finite memory
two-color Pólya urns, which we refer to as the finite memory interacting Pólya contagion …
two-color Pólya urns, which we refer to as the finite memory interacting Pólya contagion …
Curing epidemics on networks using a Polya contagion model
We study the curing of epidemics of a network contagion, which is modelled using a
variation of the classical Polya urn process that takes into account spatial infection among …
variation of the classical Polya urn process that takes into account spatial infection among …