| * | 2009 |
| 24 | EE | Frank Wood,
Cédric Archambeau,
Jan Gasthaus,
Lancelot James,
Yee Whye Teh:
A stochastic memoizer for sequence data.
ICML 2009: 142 |
| 23 | EE | Guido Sanguinetti,
Andreas Ruttor,
Manfred Opper,
Cédric Archambeau:
Switching regulatory models of cellular stress response.
Bioinformatics 25(10): 1280-1286 (2009) |
| 22 | EE | Manfred Opper,
Cédric Archambeau:
The Variational Gaussian Approximation Revisited.
Neural Computation 21(3): 786-792 (2009) |
| 2008 |
| 21 | EE | François-Xavier Standaert,
Cédric Archambeau:
Using Subspace-Based Template Attacks to Compare and Combine Power and Electromagnetic Information Leakages.
CHES 2008: 411-425 |
| 20 | EE | Cédric Archambeau,
Francis Bach:
Sparse probabilistic projections.
NIPS 2008: 73-80 |
| 19 | EE | Nicolas Delannay,
Cédric Archambeau,
Michel Verleysen:
Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs.
PAKDD 2008: 527-535 |
| 18 | EE | Cédric Archambeau,
Nicolas Delannay,
Michel Verleysen:
Mixtures of robust probabilistic principal component analyzers.
Neurocomputing 71(7-9): 1274-1282 (2008) |
| 2007 |
| 17 | EE | Cédric Archambeau,
Nicolas Delannay,
Michel Verleysen:
Mixtures of robust probabilistic principal component analyzers.
ESANN 2007: 229-234 |
| 16 | EE | Cédric Archambeau,
Manfred Opper,
Yuan Shen,
Dan Cornford,
John Shawe-Taylor:
Variational Inference for Diffusion Processes.
NIPS 2007 |
| 15 | EE | Cédric Archambeau,
Michel Verleysen:
Robust Bayesian clustering.
Neural Networks 20(1): 129-138 (2007) |
| 2006 |
| 14 | EE | Cédric Archambeau,
Eric Peeters,
François-Xavier Standaert,
Jean-Jacques Quisquater:
Template Attacks in Principal Subspaces.
CHES 2006: 1-14 |
| 13 | EE | François-Xavier Standaert,
Eric Peeters,
Cédric Archambeau,
Jean-Jacques Quisquater:
Towards Security Limits in Side-Channel Attacks.
CHES 2006: 30-45 |
| 12 | EE | Cédric Archambeau,
Nicolas Delannay,
Michel Verleysen:
Robust probabilistic projections.
ICML 2006: 33-40 |
| 11 | EE | Nicolas Delannay,
Cédric Archambeau,
Michel Verleysen:
Automatic Adjustment of Discriminant Adaptive Nearest Neighbor.
ICPR (2) 2006: 552-535 |
| 10 | EE | Cédric Archambeau,
M. Valle,
A. Assenza,
Michel Verleysen:
Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures.
ISCAS 2006 |
| 2005 |
| 9 | EE | Cédric Archambeau,
Michel Verleysen:
Manifold Constrained Variational Mixtures.
ICANN (2) 2005: 279-284 |
| 8 | EE | Cédric Archambeau,
Michel Verleysen:
Manifold Constrained Finite Gaussian Mixtures.
IWANN 2005: 820-828 |
| 2004 |
| 7 | EE | Frédéric Vrins,
Cédric Archambeau,
Michel Verleysen:
Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions?
ESANN 2004: 211-216 |
| 6 | EE | Cédric Archambeau,
Frédéric Vrins,
Michel Verleysen:
Flexible and Robust Bayesian Classification by Finite Mixture Models.
ESANN 2004: 75-80 |
| 5 | EE | Cédric Archambeau,
Torsten Butz,
Vlad Popovici,
Michel Verleysen,
Jean-Philippe Thiran:
Supervised Nonparametric Information Theoretic Classification.
ICPR (3) 2004: 414-417 |
| 4 | EE | 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 | EE | John Aldo Lee,
Cédric Archambeau,
Michel Verleysen:
Locally Linear Embedding versus Isotop.
ESANN 2003: 527-534 |
| 2 | EE | 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 |