Mark Girolami

Cited by

	All	Since 2015
Citations	17052	7911
h-index	62	46
i10-index	175	129

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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, University College LondonVerified 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
Harald MischakMosaiques DiagnosticsVerified email at mosaiques.de
Chao HeDirector of Wisers AI LabVerified email at wisers.com
Michael A OsborneProfessor of Machine Learning, University of OxfordVerified email at robots.ox.ac.uk
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	2155	1999
Riemann manifold langevin and hamiltonian monte carlo methods M Girolami, B Calderhead Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2011	1252	2011
Mercer kernel-based clustering in feature space M Girolami IEEE Transactions on Neural Networks 13 (3), 780-784, 2002	1002	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	571	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	379	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	325	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	306	2007
Probability density estimation from optimally condensed data samples M Girolami, C He IEEE Transactions on pattern analysis and machine intelligence 25 (10), 1253 …, 2003	274	2003
On an equivalence between PLSI and LDA M Girolami, A Kabán Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	268	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	261	2010
Variational Bayesian multinomial probit regression with Gaussian process priors M Girolami, S Rogers Neural Computation 18 (8), 1790-1817, 2006	254	2006
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	231	2001
Bayesian ranking of biochemical system models V Vyshemirsky, MA Girolami Bioinformatics 24 (6), 833-839, 2008	228	2008
Sparse multinomial logistic regression via bayesian l1 regularisation GC Cawley, NL Talbot, M Girolami Advances in neural information processing systems, 209-216, 2007	227	2007
Hamiltonian Monte Carlo for hierarchical models M Betancourt, M Girolami Current trends in Bayesian methodology with applications 79 (30), 2.4, 2015	217	2015
A first course in machine learning S Rogers, M Girolami CRC Press, 2016	199	2016
A variational method for learning sparse and overcomplete representations M Girolami Neural computation 13 (11), 2517-2532, 2001	185	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	180	2008
Estimating Bayes factors via thermodynamic integration and population MCMC B Calderhead, M Girolami Computational Statistics & Data Analysis 53 (12), 4028-4045, 2009	172	2009

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