Christophe Andrieu - researchr alias

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Viewing Publication 1 - 59 from 59

2015

Introduction to "Particle Metropolis-Hastings using gradient and Hessian information" by J. Dahlin, F. Lindsten, T. SchönChristophe Andrieu. sac, 25(1):79, 2015. [doi]

Quantitative Convergence Rates for Subgeometric Markov ChainsChristophe Andrieu, Gersende Fort, Matti Vihola. jap, 52(2):391-404, 2015. [doi]

2014

Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithmMarcelo Pereyra, Nick Whiteley, Christophe Andrieu, Jean-Yves Tourneret. gacm 2014: 121-124 [doi]

Kernel Adaptive Metropolis-HastingsDino Sejdinovic, Heiko Strathmann, Maria Lomeli Garcia, Christophe Andrieu, Arthur Gretton. icml 2014: 1665-1673 [doi]

2013

Online Bayesian Inference in Some Time-Frequency Representations of Non-Stationary ProcessesRichard Geoffrey Everitt, Christophe Andrieu, Manuel Davy. tsp, 61(22):5755-5766, 2013. [doi]

2010

On Coherent versus Non-Coherent Spectrum Sensing in OFDM SystemsAndreas Müller, Robert J. Piechocki, Justin P. Coon, Christophe Andrieu. vtc 2010: 1-5 [doi]

Bayesian sequential compressed sensing in sparse dynamical systemsDino Sejdinovic, Christophe Andrieu, Robert J. Piechocki. allerton 2010: 1730-1736 [doi]

2008

A tutorial on adaptive MCMCChristophe Andrieu, Johannes Thoms. sac, 18(4):343-373, 2008. [doi]

Depth-First and Breadth-First Search Based Multilevel SGA Algorithms for Near Optimal Symbol Detection in MIMO SystemsYugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell. TWC, 7(3):1052-1061, 2008. [doi]

Tree-Based Reparameterization with Distributional Approximations for Reduced-Complexity MIMO Symbol DetectionCheran M. Vithanage, Josep Soler Garrido, Christophe Andrieu, Robert J. Piechocki. TWC, 7(11-2):4617-4626, 2008. [doi]

2007

Gaussian Approximation Based Mixture Reduction for Joint Channel Estimation and Detection in MIMO SystemsYugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell. TWC, 6(7):2384-2389, 2007. [doi]

Novel Reduced-State BCJR AlgorithmsCheran M. Vithanage, Christophe Andrieu, Robert J. Piechocki. tcom, 55(6):1144-1152, 2007. [doi]

2006

2005

2004

Particle methods for change detection, system identification, and controlChristophe Andrieu, Arnaud Doucet, Sumeetpal S. Singh, Vladislav B. Tadic. pieee, 92(3):423-438, 2004. [doi]

Joint space-time trellis code detection and MIMO equalisation via particle filteringRobert J. Piechocki, Christophe Andrieu, Cheran M. Vithanage, Joseph P. McGeehan. iswcs 2004: 357-361 [doi]

2003

2002

2001

Sequential Monte Carlo Methods for Optimal FilteringChristophe Andrieu, Arnaud Doucet, Elena Punskaya. In Sequential Monte Carlo Methods in Practice. Statistics for Engineering and Information Science, pages 79-95, Springer, 2001. [doi]

Rao-Blackwellised Particle Filtering via Data AugmentationChristophe Andrieu, Nando de Freitas, Arnaud Doucet. nips 2001: 561-567 [doi]

Robust Full Bayesian Learning for Radial Basis NetworksChristophe Andrieu, Nando de Freitas, Arnaud Doucet. neco, 13(10):2359-2407, 2001. [doi]

Bayesian deconvolution of noisy filtered point processesChristophe Andrieu, Eric Barat, Arnaud Doucet. tsp, 49(1):134-146, 2001. [doi]

Optimal Estimation of Amplitude and Phase Modulated SignalsChristophe Andrieu, Arnaud Doucet. mcma, 7(1-2):1-14, 2001. [doi]

Sequential Monte Carlo Methods for Neural NetworksNando de Freitas, Christophe Andrieu, Pedro A. d. F. R. Højen-Sørensen, M. Niranjan, A. Gee. In Sequential Monte Carlo Methods in Practice. Statistics for Engineering and Information Science, pages 359-379, Springer, 2001. [doi]

Iterative algorithms for state estimation of jump Markov linear systemsArnaud Doucet, Christophe Andrieu. tsp, 49(6):1216-1227, 2001. [doi]

Particle filtering for demodulation in fading channels with non-Gaussian additive noiseElena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald. tcom, 49(4):579-582, 2001. [doi]

2000

On-line non-stationary ICA using mixture modelsA. Ahmed, Christophe Andrieu, Arnaud Doucet, Peter J. W. Rayner. icassp 2000: 3148-3151 [doi]

Optimal estimation of non-stationary phase and amplitude processesChristophe Andrieu. icassp 2000: 637-640 [doi]

Sequential Monte Carlo for model selection and estimation of neural networksChristophe Andrieu, Nando de Freitas. icassp 2000: 3410-3413 [doi]

Reversible Jump MCMC Simulated Annealing for Neural NetworksChristophe Andrieu, Nando de Freitas, Arnaud Doucet. uai 2000: 11-18 [doi]

Simulated annealing for maximum a Posteriori parameter estimation of hidden Markov modelsChristophe Andrieu, Arnaud Doucet. TIT, 46(3):994-1004, 2000.

On sequential Monte Carlo sampling methods for Bayesian filteringArnaud Doucet, Simon J. Godsill, Christophe Andrieu. sac, 10(3):197-208, 2000. [doi]

Particle filters for demodulation of M-ary modulated signals in noisy fading communication channelsElena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald. icassp 2000: 2797-2800 [doi]

Particle filtering for non-stationary speech modelling and enhancementJaco Vermaak, Christophe Andrieu, Arnaud Doucet. interspeech 2000: 594-597 [doi]

1999

1998

Joint Bayesian detection and estimation of sinusoids embedded in noiseChristophe Andrieu, Arnaud Doucet, Patrick Duvaut. icassp 1998: 2245-2248 [doi]

Efficient stochastic maximum a posteriori estimation for harmonic signalsChristophe Andrieu, Arnaud Doucet. eusipco 1998: 1-4 [doi]

Robust Bayesian spectral analysis via MCMC samplingArnaud Doucet, Christophe Andrieu. eusipco 1998: 1-4 [doi]

1997

Bayesian estimation and detection of shot noise processes using reversible jumpsChristophe Andrieu, Patrick Duvaut. icassp 1997: 3681-3684 [doi]

1996

Bayesian deconvolution of cyclostationary processes based on point processesChristophe Andrieu, Patrick Duvaut, Arnaud Doucet. eusipco 1996: 1-4 [doi]

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