Mark Girolami

Cited by

	All	Since 2016
Citations	17566	7257
h-index	63	44
i10-index	178	123

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Co-authors

Chris. J. OatesChair in Statistics, Newcastle UniversityVerified email at ncl.ac.uk
Simon RogersSenior Lecturer, Computing Science, University of GlasgowVerified email at glasgow.ac.uk
Ben CalderheadImperial College LondonVerified email at imperial.ac.uk
Theodoros (Theo) DamoulasAssociate Professor, University of WarwickVerified email at warwick.ac.uk
Ata KabanUniversity of Birmingham, School of Computer ScienceVerified email at cs.bham.ac.uk
Terrence SejnowskiFrancis Crick Professor, Salk Institute, Distingished Professor, UC San DiegoVerified email at salk.edu
Te-Won LeeVerified email at ucsd.edu
François-Xavier BriolLecturer in Statistical Science, UCLVerified email at turing.ac.uk
Jon CockayneUniversity of WarwickVerified email at warwick.ac.uk
Maurizio FilipponeAssociate Professor - EURECOMVerified email at eurecom.fr
Colin CampbellUniversity of BristolVerified email at bris.ac.uk
Vassilios StathopoulosResearch Associate, University College LondonVerified email at ucl.ac.uk
Roman RosipalSenior Researcher at Slovak Academy of Sciences & CTO at Pacific Development and Technology, LLCVerified email at savba.sk
Michael A OsborneProfessor of Machine Learning, University of OxfordVerified email at robots.ox.ac.uk
Harald MischakMosaiques DiagnosticsVerified email at mosaiques.de
Chao HeVP, Head of AI @WisersVerified email at wisers.com
Mingjun ZhongDepartment of Computing Science, University of Aberdeen, UKVerified email at abdn.ac.uk
Walter KolchDirector, Systems Biology Ireland, University College DublinVerified email at ucd.ie
Vladislav VyshemirskyLecturer, University of StrathclydeVerified email at strath.ac.uk
Rainer BreitlingProfessor of Systems Biology, Manchester Institute of Biotechnology, University of ManchesterVerified email at manchester.ac.uk

Mark Girolami

University of Cambridge

Verified email at cam.ac.uk - Homepage

Computational Statistics Bayesian Statistics Machine Learning Data Centric Engineering


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Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources TW Lee, M Girolami, TJ Sejnowski Neural computation 11 (2), 417-441, 1999	2191	1999
Riemann manifold langevin and hamiltonian monte carlo methods M Girolami, B Calderhead Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2011	1301	2011
Mercer kernel-based clustering in feature space M Girolami IEEE Transactions on Neural Networks 13 (3), 780-784, 2002	1015	2002
Blind source separation of more sources than mixtures using overcomplete representations TW Lee, MS Lewicki, M Girolami, TJ Sejnowski IEEE signal processing letters 6 (4), 87-90, 1999	599	1999
A unifying information-theoretic framework for independent component analysis TW Lee, M Girolami, AJ Bell, TJ Sejnowski Computers & Mathematics with Applications 39 (11), 1-21, 2000	576	2000
Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease DM Good, P Zürbig, A Argiles, HW Bauer, G Behrens, JJ Coon, M Dakna, ... Molecular & cellular proteomics 9 (11), 2424-2437, 2010	392	2010
Clinical proteomics: a need to define the field and to begin to set adequate standards H Mischak, R Apweiler, RE Banks, M Conaway, J Coon, A Dominiczak, ... PROTEOMICS–Clinical Applications 1 (2), 148-156, 2007	326	2007
Advances in urinary proteome analysis and biomarker discovery D Fliser, J Novak, V Thongboonkerd, À Argilés, V Jankowski, MA Girolami, ... Journal of the American Society of Nephrology 18 (4), 1057-1071, 2007	307	2007
On an equivalence between PLSI and LDA M Girolami, A Kabán Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	278	2003
Probability density estimation from optimally condensed data samples M Girolami, C He IEEE Transactions on pattern analysis and machine intelligence 25 (10), 1253 …, 2003	276	2003
Recommendations for biomarker identification and qualification in clinical proteomics H Mischak, G Allmaier, R Apweiler, T Attwood, M Baumann, A Benigni, ... Science translational medicine 2 (46), 46ps42-46ps42, 2010	264	2010
Variational Bayesian multinomial probit regression with Gaussian process priors M Girolami, S Rogers Neural Computation 18 (8), 1790-1817, 2006	262	2006
Hamiltonian Monte Carlo for hierarchical models M Betancourt, M Girolami Current trends in Bayesian methodology with applications 79 (30), 2.4, 2015	233	2015
Kernel PCA for feature extraction and de-noising in nonlinear regression R Rosipal, M Girolami, LJ Trejo, A Cichocki Neural Computing & Applications 10 (3), 231-243, 2001	233	2001
Sparse multinomial logistic regression via bayesian l1 regularisation GC Cawley, NL Talbot, M Girolami Advances in neural information processing systems, 209-216, 2007	232	2007
Bayesian ranking of biochemical system models V Vyshemirsky, MA Girolami Bioinformatics 24 (6), 833-839, 2008	228	2008
A first course in machine learning S Rogers, M Girolami CRC Press, 2016	215	2016
A variational method for learning sparse and overcomplete representations M Girolami Neural computation 13 (11), 2517-2532, 2001	191	2001
Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection T Damoulas, MA Girolami Bioinformatics 24 (10), 1264-1270, 2008	182	2008
Estimating Bayes factors via thermodynamic integration and population MCMC B Calderhead, M Girolami Computational Statistics & Data Analysis 53 (12), 4028-4045, 2009	175	2009

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