Pedro M Esperanša
Pedro M Esperanša
Machine Learning Researcher (London)
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A review of homomorphic encryption and software tools for encrypted statistical machine learning
LJM Aslett, PM Esperanša, CC Holmes
arXiv:1508.06574, 2015
Nas evaluation is frustratingly hard
A Yang, PM Esperanša, FM Carlucci
International Conference on Learning Representations (ICLR 2020), 2019
Encrypted statistical machine learning: new privacy preserving methods
LJM Aslett, PM Esperanša, CC Holmes
arXiv:1508.06845, 2015
Detection of Plasmodium berghei infected Anopheles stephensi using near-infrared spectroscopy
PM Esperanša, AM Blagborough, DF Da, FE Dowell, TS Churcher
Parasites & vectors 11, 377, 2018
Encrypted accelerated least squares regression
P Esperanca, L Aslett, C Holmes
Artificial Intelligence and Statistics (AISTATS 2017), 2017
Evaluating the forecast quality of GDP components: An application to G7
P J˙lio, P Esperanca
GEE papers 47, 2012
MANAS: Multi-agent neural architecture search
FM Carlucci, PM Esperanša, M Singh, V Gabillon, A Yang, H Xu, Z Chen, ...
arXiv:1909.01051, 2019
Ability of near-infrared spectroscopy and chemometrics to predict the age of mosquitoes reared under different conditions
OTW Ong, EA Kho, PM Esperanša, C Freebairn, FE Dowell, GJ Devine, ...
Parasites & vectors 13, 160, 2020
Labor adjustment dynamics: An application of system GMM
P Esperanša
GEE Papers 43, 2011
Neural Architecture Generator Optimization
B Ru, P Esperanca, F Carlucci
Neural Information Processing Systems (NeurIPS 2020), 2020
Functional data analysis techniques to improve the generalizability of near-infrared spectral data for monitoring mosquito populations
PM Esperanša, DF Da, B Lambert, RK DabirÚ, TS Churcher
BioRxiv, 2020
Evaluating the forecast quality of GDP components
P J˙lio, PM Esperanša, JC Fonseca
GEE Papers 41, 2011
Detection of Plasmodium falciparum in laboratory-reared and naturally infected wild mosquitoes using near-infrared spectroscopy
DF Da, R McCabe, BM SomÚ, PM Esperanša, KA Sala, J Blight, ...
Scientific reports 11 (1), 1-8, 2021
Batch Group Normalization
XY Zhou, J Sun, N Ye, X Lan, Q Luo, BL Lai, P Esperanca, GZ Yang, Z Li
arXiv:2012.02782, 2020
Privacy-preserving statistical and machine learning methods under fully homomorphic encryption
PM Esperanša
University of Oxford, 2016
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