Mark Girolami

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Chris. J. OatesNewcastle UniversityVerified email at ncl.ac.uk
Ben CalderheadImperial College LondonVerified email at imperial.ac.uk
Simon RogersSenior Lecturer, Computing Science, University of GlasgowVerified email at glasgow.ac.uk
Theodoros (Theo) DamoulasProfessor, University of Warwick - UKRI Turing AI FellowVerified email at warwick.ac.uk
François-Xavier BriolLecturer in Statistical Science, UCLVerified email at turing.ac.uk
Ata KabanUniversity of Birmingham, School of Computer ScienceVerified email at 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
Maurizio FilipponeAssociate Professor - EURECOMVerified email at eurecom.fr
Colin CampbellUniversity of BristolVerified email at bris.ac.uk
Michael A OsborneProfessor of Machine Learning, University of OxfordVerified email at robots.ox.ac.uk
Vassilios StathopoulosResearch Associate, University College LondonVerified email at ucl.ac.uk
Walter KolchDirector, Systems Biology Ireland, University College DublinVerified email at ucd.ie
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
Rainer BreitlingProfessor of Systems Biology, Manchester Institute of Biotechnology, University of ManchesterVerified email at manchester.ac.uk
Chao HeAdjunct Associate Professor @HKUSTVerified email at ust.hk
Mingjun ZhongDepartment of Computing Science, University of Aberdeen, UKVerified email at abdn.ac.uk
Vladislav VyshemirskyLecturer, University of GlasgowVerified email at glasgow.ac.uk
Kate Elizabeth JonesProfessor Ecology and Biodiversity, University College LondonVerified email at ucl.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	2405	1999
Riemann manifold langevin and hamiltonian monte carlo methods M Girolami, B Calderhead Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2011	1752	2011
Mercer kernel-based clustering in feature space M Girolami IEEE transactions on neural networks 13 (3), 780-784, 2002	1135	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	628	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	614	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	509	2010
Hamiltonian Monte Carlo for hierarchical models M Betancourt, M Girolami Current trends in Bayesian methodology with applications 79 (30), 2-4, 2015	450	2015
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006	413*	2006
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	348	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	329	2007
A first course in machine learning M Girolami Chapman and Hall/CRC, 2011	322	2011
On an equivalence between PLSI and LDA M Girolami, A Kabán Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	310	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	309	2010
Probability density estimation from optimally condensed data samples M Girolami, C He IEEE Transactions on pattern analysis and machine intelligence 25 (10), 1253 …, 2003	296	2003
Kernel PCA for feature extraction and de-noising in nonlinear regression R Rosipal, M Girolami, LJ Trejo, A Cichocki Neural Computing & Applications 10, 231-243, 2001	285	2001
Sparse multinomial logistic regression via bayesian l1 regularisation G Cawley, N Talbot, M Girolami Advances in neural information processing systems 19, 2006	284	2006
Variational Bayesian multinomial probit regression with Gaussian process priors M Girolami, S Rogers Neural Computation 18 (8), 1790-1817, 2006	282	2006
Probabilistic numerics and uncertainty in computations P Hennig, MA Osborne, M Girolami Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015	265	2015
Bayesian ranking of biochemical system models V Vyshemirsky, MA Girolami Bioinformatics 24 (6), 833-839, 2008	249	2008
Control functionals for Monte Carlo integration CJ Oates, M Girolami, N Chopin Journal of the Royal Statistical Society. Series B (Statistical Methodology …, 2017	221	2017

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