| The variational Gaussian approximation revisited M Opper, C Archambeau Neural computation 21 (3), 786-792, 2009 | 314 | 2009 |
| Template attacks in principal subspaces C Archambeau, E Peeters, FX Standaert, JJ Quisquater International Workshop on Cryptographic Hardware and Embedded Systems, 1-14, 2006 | 308 | 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 | 211 | 2008 |
| Sparse probabilistic projections. C Archambeau, FR Bach NIPS, 73-80, 2008 | 166 | 2008 |
| Gaussian process approximations of stochastic differential equations C Archambeau, D Cornford, M Opper, J Shawe-Taylor Gaussian Processes in Practice, 1-16, 2007 | 144 | 2007 |
| 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 | 126 | 2009 |
| Robust probabilistic projections C Archambeau, N Delannay, M Verleysen Proceedings of the 23rd International conference on machine learning, 33-40, 2006 | 119 | 2006 |
| 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 | 119 | 2002 |
| 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), 1-17, 2009 | 114 | 2009 |
| Robust bayesian clustering C Archambeau, M Verleysen Neural Networks 20 (1), 129-138, 2007 | 113 | 2007 |
| 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 | 109 | 2013 |
| Variational inference for diffusion processes C Archambeau, M Opper, Y Shen, D Cornford, J Shawe-Taylor MIT, 2008 | 96 | 2008 |
| Adaptive algorithms for online convex optimization with long-term constraints R Jenatton, J Huang, C Archambeau International Conference on Machine Learning, 402-411, 2016 | 84 | 2016 |
| The sequence memoizer F Wood, J Gasthaus, C Archambeau, L James, YW Teh Communications of the ACM 54 (2), 91-98, 2011 | 79 | 2011 |
| Robust Bayesian matrix factorisation B Lakshminarayanan, G Bouchard, C Archambeau Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 71 | 2011 |
| Scalable hyperparameter transfer learning V Perrone, R Jenatton, M Seeger, C Archambeau Proceedings of the 32nd International Conference on Neural Information …, 2018 | 68 | 2018 |
| Mixtures of robust probabilistic principal component analyzers C Archambeau, N Delannay, M Verleysen Neurocomputing 71 (7-9), 1274-1282, 2008 | 63 | 2008 |
| On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. C Archambeau, JA Lee, M Verleysen ESANN 3, 99-106, 2003 | 62 | 2003 |
| Towards security limits in side-channel attacks FX Standaert, E Peeters, C Archambeau, JJ Quisquater International Workshop on Cryptographic Hardware and Embedded Systems, 30-45, 2006 | 51 | 2006 |
| Sparse Bayesian Multi-Task Learning. C Archambeau, S Guo, O Zoeter NIPS 1, 41, 2011 | 50 | 2011 |
Michel VerleysenUniversité catholique de Louvain, ICTEAM, EPLVerified email at uclouvain.be
