Neil Lawrence - Dissemin

Papers authored by Neil Lawrence

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2010 Antti Honkela, Charles Girardot

, E. Hilary Gustafson, Ya-Hsin Liu, Eileen E. M. Furlong, Neil D. Lawrence

, Magnus Rattray

Model-based method for transcription factor target identification with limited data

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Álvarez, D. Luengo, M. K. Titsias, N. D. Lawrence

Efficient multioutput gaussian processes through variational inducing kernels

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Michalis K. Titsias, Neil D. Lawrence

Bayesian Gaussian Process Latent Variable Model.

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Mauricio A. Álvarez, Jan Peters, Bernhard Schölkopf, Neil D. Lawrence

Switched Latent Force Models for Movement Segmentation

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2009 Neil D. Lawrence

, Raquel Urtasun

Non-linear matrix factorization with Gaussian processes

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M. Alvarez, Mauricio A. Álvarez, David Luengo, Neil D. Lawrence

Latent Force Models.

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John Darby, Baihua Li, Nicholas Costen, David Fleet, Neil Lawrence

Backing Off: Hierarchical Decomposition of Activity for 3D Novel Pose Recovery

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Richard D. Pearson, Xuejun Liu, Guido Sanguinetti, Marta Milo, Neil D. Lawrence

, Magnus Rattray

puma: a Bioconductor package for propagating uncertainty in microarray analysis

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Carl Henrik Ek, Peter Jaeckel, Neill Campbell, Neil D. Lawrence

, Lotfi Beji, Chris Melhuish, Samir Otmane, Azgal Abichou

Shared Gaussian Process Latent Variable Models for Handling Ambiguous Facial Expressions

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2008 J. Qui\~nonero-Candela, M. Sugiyama, A. Schwaighofer, N. Lawrence

, Ben-David Shai

On the Training/Test Distributions Gap: A Data Representation Learning Framework

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M. Alvarez, Mauricio A. Álvarez, Neil D. Lawrence

Sparse Convolved Gaussian Processes for Multi-output Regression

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Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor J. Darrell, Neil D. Lawrence

Topologically-constrained latent variable models

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R. Urtasun, Fleet D. J., A. Geiger, J. Popović, T. J. Darrell, N. D. Lawrence

Topologically-constrained latent variable models

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Ben Calderhead, Mark Girolami, Neil D. Lawrence

Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes.

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Michalis K. Titsias, Neil D. Lawrence

, Daphne Koller, Magnus Rattray

, Dale Schuurmans, Yoshua Bengio, Léon Bottou

Efficient Sampling for Gaussian Process Inference using Control Variables

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2007 Luka Eciolaza, M. Alkarouri, N. D. Lawrence

, V. Kadirkamanathan, P. J. Fleming

Gaussian Process Latent Variable Models for Fault Detection

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Neil D. Lawrence

, Andrew J. Moore

Hierarchical Gaussian process latent variable models

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Neil D. Lawrence

Learning for Larger Datasets with the Gaussian Process Latent Variable Model.

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Jonathan Laidler, Martin Cooke, Neil D. Lawrence

Model-driven detection of clean speech patches in noise.

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Raquel Urtasun, Fleet D. J., David J. Fleet, Neil D. Lawrence

Modeling Human Locomotion with Topologically Constrained Latent Variable Models

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Papers authored by Neil Lawrence