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Cédric Archambeau
Cédric Archambeau
Director of AI at Helsing. Ex Principal Applied Scientist at AWS.
Подтвержден адрес электронной почты в домене helsing.ai - Главная страница
Название
Процитировано
Процитировано
Год
The variational Gaussian approximation revisited
M Opper, C Archambeau
Neural computation 21 (3), 786-792, 2009
4462009
Template attacks in principal subspaces
C Archambeau, E Peeters, FX Standaert, JJ Quisquater
Cryptographic Hardware and Embedded Systems-CHES 2006: 8th International …, 2006
4082006
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
2782008
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
2472013
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
2322020
Gaussian process approximations of stochastic differential equations
C Archambeau, D Cornford, M Opper, J Shawe-Taylor
Gaussian Processes in Practice, 1-16, 2007
1952007
Sparse probabilistic projections
C Archambeau, F Bach
Advances in neural information processing systems 21, 2008
1872008
Scalable hyperparameter transfer learning
V Perrone, R Jenatton, MW Seeger, C Archambeau
Advances in neural information processing systems 31, 2018
1812018
Adaptive algorithms for online convex optimization with long-term constraints
R Jenatton, J Huang, C Archambeau
International Conference on Machine Learning, 402-411, 2016
1682016
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
1372009
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
1362009
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
1332002
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
1252019
Robust bayesian clustering
C Archambeau, M Verleysen
Neural Networks 20 (1), 129-138, 2007
1232007
Robust probabilistic projections
C Archambeau, N Delannay, M Verleysen
Proceedings of the 23rd International conference on machine learning, 33-40, 2006
1232006
Variational inference for diffusion processes
C Archambeau, M Opper, Y Shen, D Cornford, J Shawe-Taylor
Advances in neural information processing systems 20, 2007
1182007
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
912021
The sequence memoizer
F Wood, J Gasthaus, C Archambeau, L James, YW Teh
Communications of the ACM 54 (2), 91-98, 2011
912011
Robust Bayesian matrix factorisation
B Lakshminarayanan, G Bouchard, C Archambeau
Proceedings of the Fourteenth International Conference on Artificial …, 2011
822011
Mixtures of robust probabilistic principal component analyzers
C Archambeau, N Delannay, M Verleysen
Neurocomputing 71 (7-9), 1274-1282, 2008
762008
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