![]() | ![]() |
| 2011 | ||
|---|---|---|
| 32 | Benjamin V. Hanrahan, Guillaume Bouchard, Gregorio Convertino, Thiébaud Weksteen, Nicholas Kong, Cédric Archambeau, Ed H. Chi: Mail2Wiki: low-cost sharing and early curation from email to wikis. C&T 2011: 98-107 | |
| 31 | Benjamin V. Hanrahan, Thiébaud Weksteen, Nicholas Kong, Gregorio Convertino, Guillaume Bouchard, Cédric Archambeau, Ed H. Chi: Mail2Wiki: posting and curating Wiki content from email. IUI 2011: 441-442 | |
| 30 | Frank Wood, Jan Gasthaus, Cédric Archambeau, Lancelot James, Yee Whye Teh: The sequence memoizer. Commun. ACM 54(2): 91-98 (2011) | |
| 29 | Balaji Lakshminarayanan, Guillaume Bouchard, Cédric Archambeau: Robust Bayesian Matrix Factorisation. Journal of Machine Learning Research - Proceedings Track 15: 425-433 (2011) | |
| 2010 | ||
| 28 | Yuan Shen, Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor, Remi Barillec: A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems. Signal Processing Systems 61(1): 51-59 (2010) | |
| 2009 | ||
| 27 | Frank Wood, Cédric Archambeau, Jan Gasthaus, Lancelot James, Yee Whye Teh: A stochastic memoizer for sequence data. ICML 2009: 142 | |
| 26 | Stefano Lise, Cédric Archambeau, Massimiliano Pontil, David T. Jones: Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods. BMC Bioinformatics 10: 365 (2009) | |
| 25 | Guido Sanguinetti, Andreas Ruttor, Manfred Opper, Cédric Archambeau: Switching regulatory models of cellular stress response. Bioinformatics 25(10): 1280-1286 (2009) | |
| 24 | Manfred Opper, Cédric Archambeau: The Variational Gaussian Approximation Revisited. Neural Computation 21(3): 786-792 (2009) | |
| 2008 | ||
| 23 | François-Xavier Standaert, Cédric Archambeau: Using Subspace-Based Template Attacks to Compare and Combine Power and Electromagnetic Information Leakages. CHES 2008: 411-425 | |
| 22 | Cédric Archambeau, Francis Bach: Sparse probabilistic projections. NIPS 2008: 73-80 | |
| 21 | Nicolas Delannay, Cédric Archambeau, Michel Verleysen: Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs. PAKDD 2008: 527-535 | |
| 20 | Cédric Archambeau, Nicolas Delannay, Michel Verleysen: Mixtures of robust probabilistic principal component analyzers. Neurocomputing 71(7-9): 1274-1282 (2008) | |
| 2007 | ||
| 19 | Cédric Archambeau, Nicolas Delannay, Michel Verleysen: Mixtures of robust probabilistic principal component analyzers. ESANN 2007: 229-234 | |
| 18 | Cédric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John Shawe-Taylor: Variational Inference for Diffusion Processes. NIPS 2007 | |
| 17 | François-Xavier Standaert, Eric Peeters, Cédric Archambeau, Jean-Jacques Quisquater: Towards Security Limits in Side-Channel Attacks. IACR Cryptology ePrint Archive 2007: 222 (2007) | |
| 16 | Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor: Gaussian Process Approximations of Stochastic Differential Equations. Journal of Machine Learning Research - Proceedings Track 1: 1-16 (2007) | |
| 15 | Cédric Archambeau, Michel Verleysen: Robust Bayesian clustering. Neural Networks 20(1): 129-138 (2007) | |
| 2006 | ||
| 14 | Cédric Archambeau, Eric Peeters, François-Xavier Standaert, Jean-Jacques Quisquater: Template Attacks in Principal Subspaces. CHES 2006: 1-14 | |
| 13 | François-Xavier Standaert, Eric Peeters, Cédric Archambeau, Jean-Jacques Quisquater: Towards Security Limits in Side-Channel Attacks. CHES 2006: 30-45 | |
| 12 | Cédric Archambeau, Nicolas Delannay, Michel Verleysen: Robust probabilistic projections. ICML 2006: 33-40 | |
| 11 | Nicolas Delannay, Cédric Archambeau, Michel Verleysen: Automatic Adjustment of Discriminant Adaptive Nearest Neighbor. ICPR (2) 2006: 552-535 | |
| 10 | Cédric Archambeau, M. Valle, A. Assenza, Michel Verleysen: Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures. ISCAS 2006 | |
| 2005 | ||
| 9 | Cédric Archambeau, Michel Verleysen: Manifold Constrained Variational Mixtures. ICANN (2) 2005: 279-284 | |
| 8 | Cédric Archambeau, Michel Verleysen: Manifold Constrained Finite Gaussian Mixtures. IWANN 2005: 820-828 | |
| 2004 | ||
| 7 | Frédéric Vrins, Cédric Archambeau, Michel Verleysen: Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions? ESANN 2004: 211-216 | |
| 6 | Cédric Archambeau, Frédéric Vrins, Michel Verleysen: Flexible and Robust Bayesian Classification by Finite Mixture Models. ESANN 2004: 75-80 | |
| 5 | Cédric Archambeau, Torsten Butz, Vlad Popovici, Michel Verleysen, Jean-Philippe Thiran: Supervised Nonparametric Information Theoretic Classification. ICPR (3) 2004: 414-417 | |
| 4 | Cédric Archambeau, Jean Delbeke, Claude Veraart, Michel Verleysen: Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind. Artificial Intelligence in Medicine 32(3): 183-194 (2004) | |
| 2003 | ||
| 3 | John Aldo Lee, Cédric Archambeau, Michel Verleysen: Locally Linear Embedding versus Isotop. ESANN 2003: 527-534 | |
| 2 | Cédric Archambeau, John Aldo Lee, Michel Verleysen: On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. ESANN 2003: 99-106 | |
| 2002 | ||
| 1 | Nabil Benoudjit, Cédric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen: Width optimization of the Gaussian kernels in Radial Basis Function Networks. ESANN 2002: 425-432 | |
Colors in the list of coauthors
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