Mark Girolami
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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
Riemann manifold langevin and hamiltonian monte carlo methods
M Girolami, B Calderhead
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2011
Mercer kernel-based clustering in feature space
M Girolami
IEEE transactions on neural networks 13 (3), 780-784, 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
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
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
Hamiltonian Monte Carlo for hierarchical models
M Betancourt, M Girolami
Current trends in Bayesian methodology with applications 79 (30), 2-4, 2015
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
A first course in machine learning
S Rogers, M Girolami
Chapman and Hall/CRC, 2016
Advances in urinary proteome analysis and biomarker discovery
D Fliser, J Novak, V Thongboonkerd, V Jankowski, MA Girolami, ...
Journal of the American Society of Nephrology 18 (4), 1057-1071, 2007
On an equivalence between PLSI and LDA
M Girolami, A Kabán
Proceedings of the 26th annual international ACM SIGIR conference on …, 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
Probability density estimation from optimally condensed data samples
M Girolami, C He
IEEE Transactions on pattern analysis and machine intelligence 25 (10), 1253 …, 2003
Variational Bayesian multinomial probit regression with Gaussian process priors
M Girolami, S Rogers
Neural Computation 18 (8), 1790-1817, 2006
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
Sparse multinomial logistic regression via bayesian l1 regularisation
G Cawley, N Talbot, M Girolami
Advances in neural information processing systems 19, 2006
Construction with digital twin information systems
R Sacks, I Brilakis, E Pikas, HS Xie, M Girolami
Data-Centric Engineering 1, e14, 2020
Probabilistic numerics and uncertainty in computations
P Hennig, MA Osborne, M Girolami
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015
Bayesian ranking of biochemical system models
V Vyshemirsky, MA Girolami
Bioinformatics 24 (6), 833-839, 2008
Control functionals for Monte Carlo integration
CJ Oates, M Girolami, N Chopin
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
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