Cédric Archambeau

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Matthias SeegerPrincipal Applied Scientist, Amazon, BerlinDirección de correo verificada de amazon.de
Michel VerleysenUniversité catholique de Louvain, ICTEAM, EPLDirección de correo verificada de uclouvain.be
Valerio PerroneApplied Science Manager, AmazonDirección de correo verificada de amazon.com
Guillaume BOUCHARDCheckstepDirección de correo verificada de cs.ucl.ac.uk
Rodolphe JENATTONCTO at BioptimusDirección de correo verificada de bioptimus.com
Aaron KleinScaDS.AIDirección de correo verificada de amazon.com
Krishnaram KenthapadiFiddler AIDirección de correo verificada de CS.Stanford.EDU
Giovanni ZappellaAWSDirección de correo verificada de amazon.com
Muhammad Bilal ZafarRuhr University Bochum & Research Center for Trustworthy Data Science and SecurityDirección de correo verificada de rub.de
John Shawe-TaylorUCLDirección de correo verificada de cs.ucl.ac.uk
Francois-Xavier StandaertSenior Associate Researcher (FNRS-F.R.S), Université catholique de LouvainDirección de correo verificada de uclouvain.be
Beyza ErmişCohere for AIDirección de correo verificada de cohere.com
Quisquater Jean-JacquesUCL Crypto Group, professor em. of cryptography, securityDirección de correo verificada de uclouvain.be
David SalinasAmazonDirección de correo verificada de ens-lyon.org
Francis BachInria - Ecole Normale SupérieureDirección de correo verificada de inria.fr
Martin WistubaAmazon Web ServicesDirección de correo verificada de ismll.de
Balaji LakshminarayananSenior Staff Research Scientist at Google DeepMindDirección de correo verificada de google.com
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindDirección de correo verificada de stats.ox.ac.uk
Frank WoodUniversity of British ColumbiaDirección de correo verificada de cs.ubc.ca
Lukas BallesAleph AlphaDirección de correo verificada de aleph-alpha.com

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Cédric Archambeau

Helsing, Berlin

Dirección de correo verificada de helsing.ai - Página principal

Machine Learning Computational Statistics Artificial Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
The variational Gaussian approximation revisited M Opper, C Archambeau Neural computation 21 (3), 786-792, 2009	439	2009
Template attacks in principal subspaces C Archambeau, E Peeters, FX Standaert, JJ Quisquater Cryptographic Hardware and Embedded Systems-CHES 2006: 8th International …, 2006	400	2006
Using subspace-based template attacks to compare and combine power and electromagnetic information leakages FX Standaert, C Archambeau International Workshop on Cryptographic Hardware and Embedded Systems, 411-425, 2008	270	2008
System and method for supporting targeted sharing and early curation of information G Convertino, EH Chi, BV Hanrahan, NCY Kong, G Bouchard, ... US Patent 8,380,743, 2013	251	2013
Leep: A new measure to evaluate transferability of learned representations C Nguyen, T Hassner, M Seeger, C Archambeau International Conference on Machine Learning, 7294-7305, 2020	227	2020
Gaussian process approximations of stochastic differential equations C Archambeau, D Cornford, M Opper, J Shawe-Taylor Gaussian Processes in Practice, 1-16, 2007	192	2007
Sparse probabilistic projections C Archambeau, F Bach Advances in neural information processing systems 21, 2008	186	2008
Scalable hyperparameter transfer learning V Perrone, R Jenatton, MW Seeger, C Archambeau Advances in neural information processing systems 31, 2018	178	2018
Adaptive algorithms for online convex optimization with long-term constraints R Jenatton, J Huang, C Archambeau International Conference on Machine Learning, 402-411, 2016	167	2016
A stochastic memoizer for sequence data F Wood, C Archambeau, J Gasthaus, L James, YW Teh Proceedings of the 26th annual international conference on machine learning …, 2009	136	2009
Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods S Lise, C Archambeau, M Pontil, DT Jones BMC bioinformatics 10, 1-17, 2009	135	2009
Width optimization of the Gaussian kernels in Radial Basis Function Networks. N Benoudjit, C Archambeau, A Lendasse, JA Lee, M Verleysen ESANN 2, 425-432, 2002	133	2002
Robust bayesian clustering C Archambeau, M Verleysen Neural Networks 20 (1), 129-138, 2007	123	2007
Robust probabilistic projections C Archambeau, N Delannay, M Verleysen Proceedings of the 23rd International conference on machine learning, 33-40, 2006	122	2006
Learning search spaces for bayesian optimization: Another view of hyperparameter transfer learning V Perrone, H Shen, MW Seeger, C Archambeau, R Jenatton Advances in neural information processing systems 32, 2019	118	2019
Variational inference for diffusion processes C Archambeau, M Opper, Y Shen, D Cornford, J Shawe-Taylor Advances in neural information processing systems 20, 2007	117	2007
The sequence memoizer F Wood, J Gasthaus, C Archambeau, L James, YW Teh Communications of the ACM 54 (2), 91-98, 2011	91	2011
Fair bayesian optimization V Perrone, M Donini, MB Zafar, R Schmucker, K Kenthapadi, ... Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 854-863, 2021	86	2021
Robust Bayesian matrix factorisation B Lakshminarayanan, G Bouchard, C Archambeau Proceedings of the Fourteenth International Conference on Artificial …, 2011	82	2011
Mixtures of robust probabilistic principal component analyzers C Archambeau, N Delannay, M Verleysen Neurocomputing 71 (7-9), 1274-1282, 2008	75	2008

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