Pedro M. Esperanša
Pedro M. Esperanša
Huawei R&D UK (London)
Email verificata su huawei.com
Titolo
Citata da
Citata da
Anno
A review of homomorphic encryption and software tools for encrypted statistical machine learning
LJM Aslett, PM Esperanša, CC Holmes
arXiv:1508.06574, 2015
632015
Encrypted statistical machine learning: new privacy preserving methods
LJM Aslett, PM Esperanša, CC Holmes
arXiv:1508.06845, 2015
462015
NAS evaluation is frustratingly hard
A Yang, PM Esperanša, FM Carlucci
International Conference on Learning Representations (ICLR 2020), 2019
432019
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
152018
Encrypted accelerated least squares regression
PM Esperanša, LJM Aslett, CC Holmes
Artificial Intelligence and Statistics (AISTATS 2017) 54, 2017
112017
Evaluating the forecast quality of GDP components: An application to G7
P J˙lio, P Esperanca
GEE papers 47, 2012
112012
MANAS: Multi-Agent Neural Architecture Search
FM Carlucci, P Esperanca, M Singh, A Yang, V Gabillon, H Xu, Z Chen, ...
arXiv:1909.01051, 2019
82019
Labor Adjustment Dynamics: An Application of System GMM
PM Esperanša
GEE Papers 43, 2011
42011
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
32020
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
12020
Evaluating the forecast quality of GDP components
P J˙lio, PM Esperanša, JC Fonseca
GEE Papers 41, 2011
12011
Batch Group Normalization
XY Zhou, J Sun, N Ye, X Lan, Q Luo, BL Lai, P Esperanca, GZ Yang, Z Li
arXiv preprint arXiv:2012.02782, 2020
2020
Neural Architecture Generator Optimization
B Ru, P Esperanca, F Carlucci
arXiv:2004.01395, 2020
2020
Privacy-preserving statistical and machine learning methods under fully homomorphic encryption
PM Esperanša
University of Oxford, 2016
2016
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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