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From Prediction to Prescription: Evolutionary Optimization of
  Non-Pharmaceutical Interventions in the COVID-19 Pandemic

From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic

28 May 2020
Risto Miikkulainen
Olivier Francon
Elliot Meyerson
Xin Qiu
Elisa Canzani
B. Hodjat
ArXivPDFHTML

Papers citing "From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic"

2 / 2 papers shown
Title
EpidemiOptim: A Toolbox for the Optimization of Control Policies in
  Epidemiological Models
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models
Cédric Colas
B. Hejblum
S. Rouillon
R. Thiébaut
Pierre-Yves Oudeyer
Clément Moulin-Frier
M. Prague
21
22
0
09 Oct 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1