PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Cedric Archambeau

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Number of EPrints submitted by this user: 14

Gaussian Process Approximations of Stochastic Differential Equations
Cedric Archambeau, Dan Cornford, Manfred Opper and John Shawe-Taylor
In: Gaussian Process In Practice, 12-13 June 2006, Bletchley Park, UK.

Robust Probabilistic Projections
Cedric Archambeau, Nicolas Delannay and Michel Verleysen
In: 23rd International Conference on Machine Learning, 25-29 June 2006, Pittsburgh (PA), USA.

Automatic Adjustment of Discriminant Adaptive Nearest Neighbor
Nicolas Delannay, Cedric Archambeau and Michel Verleysen
In: 18th International Conference on Pattern Recognition, 20-24 August 2006, Hong Kong, PRC.

Robust Bayesian Clustering
Cedric Archambeau and Michel Verleysen
Neural Networks Volume 20, pp. 129-138, 2007.

Gaussian Process Approximations of Stochastic Differential Equations
Cedric Archambeau, Dan Cornford, Manfred Opper and John Shawe-Taylor
Journal of Machine Learning Research Workshop and Conference Proceedings Volume 1, pp. 1-16, 2007.

Mixtures of Robust Probabilistic Principal Component Analyzers
Cedric Archambeau, Nicolas Delannay and Michel Verleysen
Neurocomputing 2007.

Variational Inference for Diffusion Processes
Cedric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford and John Shawe-Taylor
In: NIPS 21, 3-8 Dec 2007, Vancouver, Canada.

Evaluation of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems
Yuan Shen, Cedric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor and Remi Barillec
In: MLSP 17, 27-29 Aug 2007, Thessaloniki, Greece.

Evaluation of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems
Yuan Shen, Cedric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor and Remi Barillec
In: MLSP 7, 27-29 Aug 2007, Thessaloniki, Greece.

The Variational Gaussian Approximation Revisited
Manfred Opper and Cedric Archambeau
Neural Computation Volume 21, Number 3, pp. 786-792, 2009.

Sparse Probabilistic Projections
Cedric Archambeau and Francis Bach
In: NIPS 21, 8 - 11 Dec 2008, Vancouver, Canada.

Using Subspace-Based Template Attacks to Compare and Combine Power and Electromagnetic Information Leakages
Francois-Xavier Standaert and Cedric Archambeau
In: CHES 10, 10 - 13 Aug 2008, Washington DC, USA.

Stochastic Memoizer for Sequence Data
Frank Wood, Cedric Archambeau, Jan Gasthaus, Lancelot James and Yee Whye Teh
In: ICML 26, 14-18 Jun 2009, Montreal, Canada.

Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods
Stefano Lise, Cedric Archambeau, Massimiliano Pontil and David Jones
BMC Bioinformatics Volume 10, pp. 365-382, 2009.