Pedro M Esperança

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Fabio Maria CarlucciFacebookVerified email at fb.com
Chris HolmesVerified email at stats.ox.ac.uk
Louis J. M. AslettAssociate Professor, Department of Mathematical Sciences, Durham UniversityVerified email at durham.ac.uk
Thomas ChurcherImperial College LondonVerified email at imperial.ac.uk
Binxin RuDPhil Student, University of OxfordVerified email at robots.ox.ac.uk
Antoine YangInriaVerified email at inria.fr
Andrew BlagboroughUniversity of CambridgeVerified email at cam.ac.uk
Zhenguo LiHuawei Noah's Ark LabVerified email at huawei.com
Paulo JúlioEconomics and Research Department, Banco de PortugalVerified email at bportugal.pt
Jun WangProfessor, Computer Science, University College LondonVerified email at cs.ucl.ac.uk
Hang XuResearcher, Huawei Noah's Ark LabVerified email at huawei.com
Xingchen WanUniversity of Oxford; MetaVerified email at robots.ox.ac.uk
Gregor DevineMosquito Control Laboratory, QIMR Berghofer Medical Research InstituteVerified email at qimrberghofer.edu.au
Oselyne OngChildren's Medical Research InstituteVerified email at cmri.org.au
Elise Ai Hwee KhoUniversity of QueenslandVerified email at uq.edu.au
Thierry lefèvreCNRS researcher, MontpellierVerified email at ird.fr
Xiao-Yun ZhouSr. research scientist @ PAIIVerified email at panacea-ai.org
Ruth McCabeDepartment of Statistics, University of OxfordVerified email at stats.ox.ac.uk
Steven McDonaghPostdoctoral researcher, Imperial College LondonVerified email at imperial.ac.uk
Tamas MadaraszMediatek ResearchVerified email at mtkresearch.com

Pedro M Esperança

Machine Learning Engineer (London, UK)

Verified email at huawei.com

Statistics Machine Learning Deep Learning Homomorphic Encryption


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
NAS evaluation is frustratingly hard A Yang, PM Esperança, FM Carlucci International Conference on Learning Representations (ICLR 2020), 2019	127	2019
A review of homomorphic encryption and software tools for encrypted statistical machine learning LJM Aslett, PM Esperança, CC Holmes arXiv:1508.06574, 2015	83	2015
Encrypted statistical machine learning: new privacy preserving methods LJM Aslett, PM Esperança, CC Holmes arXiv:1508.06845, 2015	70	2015
Neural Architecture Generator Optimization B Ru, P Esperanca, F Carlucci Neural Information Processing Systems (NeurIPS 2020), 2020	22	2020
Detection of Plasmodium berghei infected Anopheles stephensi using near-infrared spectroscopy PM Esperança, AM Blagborough, DF Da, FE Dowell, TS Churcher Parasites & vectors 11, 377, 2018	22	2018
Encrypted accelerated least squares regression P Esperanca, L Aslett, C Holmes Artificial Intelligence and Statistics (AISTATS 2017), 2017	22	2017
MANAS: Multi-agent neural architecture search FM Carlucci, PM Esperança, M Singh, V Gabillon, A Yang, H Xu, Z Chen, ... arXiv:1909.01051, 2019	19	2019
Evaluating the forecast quality of GDP components: An application to G7 P Júlio, P Esperanca GEE papers 47, 2012	13	2012
Ability of near-infrared spectroscopy and chemometrics to predict the age of mosquitoes reared under different conditions OTW Ong, EA Kho, PM Esperança, C Freebairn, FE Dowell, GJ Devine, ... Parasites & vectors 13, 160, 2020	9	2020
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	5	2020
Functional data analysis techniques to improve the generalizability of near-infrared spectral data for monitoring mosquito populations PM Esperança, DF Da, B Lambert, RK Dabiré, TS Churcher BioRxiv, 2020	5	2020
Labor adjustment dynamics: An application of system GMM P Esperança GEE Papers 43, 2011	5	2011
Detection of Plasmodium falciparum in laboratory-reared and naturally infected wild mosquitoes using near-infrared spectroscopy DF Da, R McCabe, BM Somé, PM Esperança, KA Sala, J Blight, ... Scientific reports 11 (1), 1-8, 2021	3	2021
On Redundancy and Diversity in Cell-based Neural Architecture Search X Wan, B Ru, PM Esperança, Z Li International Conference on Learning Representations (ICLR 2022), 2022	2	2022
Approximate Neural Architecture Search via Operation Distribution Learning X Wan, B Ru, PM Esparança, FM Carlucci Winter Conference on Applications of Computer Vision (WACV 2022), 2022	2	2022
Evaluating the forecast quality of GDP components P Júlio, PM Esperança, JC Fonseca GEE Papers 41, 2011	2	2011
Long-tail Recognition via Compositional Knowledge Transfer S Parisot, PM Esperanca, S McDonagh, TJ Madarasz, Y Yang, Z Li Computer Vision and Pattern Recognition (CVPR 2022), 2022		2022
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family RH Eyono, FM Carlucci, PM Esperança, B Ru, P Torr arXiv:2111.03555, 2021		2021
Detection of Plasmodium Falciparum in Laboratory and Naturally Infected Mosquitoes Using Near-infrared Spectroscopy DF Da, R McCabe, BM Somé, PM Esperança, K Sala, J Blight, ...		2021
Privacy-preserving statistical and machine learning methods under fully homomorphic encryption PM Esperança University of Oxford, 2016		2016

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