Neil Lawrence

Neil David Lawrence is the DeepMind Professor of Machine Learning at the University of Cambridge in the Department of Computer Science and Technology, senior AI fellow at the Alan Turing Institute and visiting professor at the University of Sheffield. Provided by Wikipedia
Showing 1 - 9 results of 9 for search 'Lawrence, Neil', query time: 0.04s Refine Results
  1. 1
    Variational inference in probabilistic models
    by Lawrence, Neil David
    Published 2001
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  2. 2
    A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
    by Lawrence Neil D, Kalaitzis Alfredo A
    Published 2011-05-01
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    Article
  3. 3
    puma: a Bioconductor package for propagating uncertainty in microarray analysis
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    Article
  4. 4
    Deep Gaussian processes and variational propagation of uncertainty
    by Damianou, Andreas
    Published 2015
    Other Authors: “...Lawrence, Neil...”
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  5. 5
    Probabilistic latent variable models in statistical genomics
    by Fusi, Nicolo
    Published 2015
    Other Authors: “...Lawrence, Neil...”
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  6. 6
    Gaussian process in computational biology : covariance functions for transcriptomics
    by Rahman, Muhammad Arifur
    Published 2018
    Other Authors: “...Lawrence, Neil...”
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  7. 7
    Bringing models to the domain : deploying Gaussian processes in the biological sciences
    by Zwiessele, Max
    Published 2017
    Other Authors: “...Lawrence, Neil...”
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  8. 8
    Learning with structured covariance matrices in linear Gaussian models
    by Kalaitzis, Alfredo
    Published 2013
    Other Authors: “...Lawrence, Neil D....”
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  9. 9
    Gaussian process based approaches for survival analysis
    by Saul, Alan D.
    Published 2016
    Other Authors: “...Lawrence, Neil ; Sudholt, Dirk...”
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