Mark Girolami

发表

Extraction of Sleep-Spindles from the Electroencephalogram (EEG)

Allan Kardec Barros, Roman Rosipal, Mark Girolami, 2000, ANNIMAB.

Phylogenetic Gaussian Processes for Bat Echolocation

Mark Girolami, Theodoros Damoulas, Kate E. Jones, 2018 .

Convergence Guarantees for Gaussian Process Approximations Under Several Observation Models pdf

Mark Girolami, George Wynne, Franccois-Xavier Briol, 2020, ArXiv.

Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem

Mark Girolami, M. Girolami, 2002, Neural Computation.

Pattern Classification with Gaussian Processes

Mark Girolami, Vassilios Stathopoulos, M. Girolami, 2017 .

Self-Organising Neural Networks

Mark Girolami, M. Girolami, 1999 .

Advances in Information Retrieval

Fabio Crestani, C. J. van Rijsbergen, Mark Girolami, 2002, Lecture Notes in Computer Science.

On the Fully Bayesian Treatment of Latent Gaussian Models using Stochastic Simulations

Maurizio Filippone, Mark Girolami, Mingjun Zhong, 2012 .

Proceedings of the 29 th International Conference on Machine Learning, Edinburgh, Scotland, UK, 2012

Mark Girolami, Mingjun Zhong, M. Girolami, 2012 .

Uncovering smartphone usage patterns with multi‐view mixed membership models

Matthew Chalmers, Alistair Morrison, Mark Girolami, 2016 .

Bayesian Assessments of Aeroengine Performance pdf

Mark Girolami, Pranay Seshadri, George Thorne, 2020, ArXiv.

Bat Detective - Deep Learning Tools for Bat Acoustic Signal Detection

Mark Girolami, Gabriel J. Brostow, Jon Russ, 2017 .

Combining Information with a Bayesian Multi-class Multi-kernel Pattern Recognition Machine

Mark Girolami, Theodoros Damoulas, M. Girolami, 2010 .

Building Information Modelling, Artificial Intelligence and Construction Tech

Mark Girolami, Ioannis Brilakis, Rafael Sacks, 2020 .

Self-Organizing Neural Networks

Mark Girolami, M. Girolami, 1999 .

Handbook of Statistical Systems Biology: Stumpf/Handbook of Statistical Systems Biology

Mark Girolami, Michael P. H. Stumpf, David J. Balding, 2011 .

Analysis of complex, multidimensional datasets.

Mark Girolami, Harald Mischak, Ronald Krebs, 2006, Drug discovery today. Technologies.

Real-time statistical modelling of data generated from self-sensing bridges

Niall M. Adams, Mark Girolami, F. Din-Houn Lau, 2018 .

System Identification and Model Ranking: The Bayesian Perspective

Mark Girolami, Ben Calderhead, Vladislav Vyshemirsky, 2010, Learning and Inference in Computational Systems Biology.

Probabilistic Integration: A Role for Statisticians in Numerical Analysis?

Michael A. Osborne, Mark Girolami, Dino Sejdinovic, 2015 .

mcmc_clib-an advanced MCMC sampling package for ode models

Nicole Radde, Mark Girolami, Vassilios Stathopoulos, 2014, Bioinform..

Bayesian Numerical Methods as a Case Study for Statistical Data Science

Mark Girolami, François-Xavier Briol, M. Girolami, 2018 .

Bayesian approaches for mechanistic ion channel modeling.

Mark Girolami, Ben Calderhead, Michael Epstein, 2013, Methods in molecular biology.

Multi-fidelity approach to Bayesian parameter estimation in subsurface heat and fluid transport models.

Mark Girolami, Alastair Gregory, Ruchi Choudhary, 2020, The Science of the total environment.

ADAPTIVE PROCESSING SCHEMES INSPIRED BY BINAURAL UNMASKING FOR ENHANCEMENT OF SPEECH CORRUPTED WITH NOISE AND REVERBERATION

Colin Fyfe, Mark Girolami, Paul W. Shields, 1998 .

Learning and Inference in Computational Systems Biology

Neil D. Lawrence, Magnus Rattray, Guido Sanguinetti, 2010, Computational molecular biology.

Statistical analysis of nonlinear dynamical systems using differential geometric sampling methods

Mark Girolami, Ben Calderhead, M. Girolami, 2011, Interface Focus.

Inference for Gaussian process emulation of oil reservoir simulation codes

Michael Andrew Christie, Maurizio Filippone, Mark Girolami, 2010 .

Burglary in London: insights from statistical heterogeneous spatial point processes

Mark Girolami, Seppo Virtanen, Jan Povala, 2019, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Background to Blind Source Separation

Mark Girolami, 1999 .

Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness

Mark Girolami, George Wynne, Franccois-Xavier Briol, 2020, J. Mach. Learn. Res..

Technical Report An Evaluation of Gaussian Processes for Sentence Classication and Protein Interaction Detection

Mark Girolami, Simon Rogers, Tamara Polajnar, 2008 .

Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics

Visakan Kadirkamanathan, Guido Sanguinetti, Mark Girolami, 2009 .

Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors

Mark Girolami, Simon Rogers, M. Girolami, 2006, Neural Computation.

The Pearson Mixture Model for Cluster Analysis and Data Visualisation

Mark Girolami, 1998 .

Fourth Order Cumulant Based Blind Source Separation

Mark Girolami, M. Girolami, 1999 .

Bayesian Uncertainty Quantification for Differential Equations

Mark Girolami, David A. Campbell, Ben Calderhead, 2013 .

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09)

Mark Girolami, Mingjun Zhong, M. Girolami, 2009 .

Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I

Timo Honkela, Samuel Kaski, Mark Girolami, 2011, ICANN.

The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions

Mark Girolami, Fehmi Cirak, Eky Febrianto, 2019 .

Non-Linear Feature Extraction and Blind Source Separation

Mark Girolami, 1999 .

Recasting the context in information retrieval

Fabio Crestani, C. J. van Rijsbergen, Mark Girolami, 1996 .

Editorial: special edition on probabilistic numerics

Ilse C. F. Ipsen, T. J. Sullivan, Mark Girolami, 2019, Statistics and computing.

Population MCMC methods for history matching and uncertainty quantification

Michael Andrew Christie, Maurizio Filippone, Mark Girolami, 2010, Computational Geosciences.

Extraction of independent signal sources using a deflationary exploratory projection pursuit network

Mark Girolami, Colin Fyfe, C. Fyfe, 1997 .

Addressing the challenge of dening valid proteomic biomarkers and classiers.

Mark Girolami, Alexandros Kalousis, Harald Mischak, 2011 .

Two-level infinite mixture for multi-domain data

Mark Girolami, Simon Rogers, Arto Klami, 2008 .

Probabilistic Integration: A Role in Statistical Computation?

Michael A. Osborne, Mark Girolami, Dino Sejdinovic, 2015, Statistical Science.

Document Classification Employing the Fisher Kernel Derived from Probabilistic Hierarchic Corpus Rep

Mark Girolami, Alexei Vinokourov, M. Girolami, 2001 .

Decoding post-stroke motor function from structural brain imaging

Maurizio Filippone, Mark Girolami, Nick S. Ward, 2016, NeuroImage: Clinical.

Chasing microns in an unconstrained manufacturing environment

Mark Girolami, J. Blaikie, 1995 .

Non-parametric Bayes to infer playing strategies adopted in a population of mobile gamers

Matthew Chalmers, Alistair Morrison, Mark Girolami, 2015 .

The Controlled Thermodynamic Integral for Bayesian Model Evidence Evaluation

Mark Girolami, Theodore Papamarkou, Chris J. Oates, 2016 .

Introducing Data-Centric Engineering to Instrumented Infrastructure

Mark Girolami, Liam J. Butler, Liam J. Butler, 2019, International Conference on Smart Infrastructure and Construction 2019 (ICSIC).

Probabilistic numerics and uncertainty in computations

Michael A. Osborne, Mark Girolami, Philipp Hennig, 2015, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

The Latent Process Decomposition of cDNA Microarray Data Sets

Colin Campbell, Mark Girolami, Rainer Breitling, 2005, TCBB.

Advances in Information Retrieval: 24th BCS-IRSG European Colloquium on IR Research Glasgow, UK, March 25-27, 2002 Proceedings

Fabio Crestani, Mark Girolami, Cornelis Joost Van Rijsbergen, 2002 .

Embedded Ridge Approximations: Constructing Ridge Approximations Over Localized Scalar Fields For Improved Simulation-Centric Dimension Reduction

Geoffrey T. Parks, Mark Girolami, Pranay Seshadri, 2019, Computer Methods in Applied Mechanics and Engineering.

Precision-Recall Balanced Topic Modelling

Mark Girolami, Seppo Virtanen, M. Girolami, 2019, NeurIPS.

Advances in Neural Information Processing Systems 19 (NIPS 2006)

Mark Girolami, Mingjun Zhong, M. Girolami, 2007 .

Markov Chain Monte Carlo Sampling

Mark Girolami, Simon Rogers, M. Girolami, 2016 .

Some discussions of D. Fearnhead and D. Prangle's Read Paper "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation"

Christophe Andrieu, Christian P. Robert, Mark Girolami, 2012 .

Information Theoretic Non-Linear Feature Extraction and Blind Source Separation

Mark Girolami, 1999 .

Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performance

Roman Rosipal, Mark Girolami, Leonard J. Trejo, 2000, ANNIMAB.

A First Course in Machine Learning, Second Edition

Mark Girolami, Simon Rogers, 2016 .

Integration in reproducing kernel Hilbert spaces of Gaussian kernels pdf

Mark Girolami, Toni Karvonen, Chris J. Oates, 2020, Math. Comput..

A digital twin of bridges for structural health monitoring

Mark Girolami, Campbell Middleton, Alastair Gregory, 2019 .

Artificial Neural Networks and Machine Learning - Proceedings of ICANN 2011 - 21st International Conference on Artificial Neural Networks, Part I

Timo Honkela, Mark Girolami, Włodzisław Duch, 2011 .

Continuous calibration of a digital twin: Comparison of particle filter and Bayesian calibration approaches pdf

Mark Girolami, Alastair Gregory, Ruchi Choudhary, 2020, Data-Centric Engineering.

Statistical methods to enable practical on-site tomographic imaging of whole-core samples

Mark Girolami, Heikki Haario, Lassi Roininen, 2018, GEOPHYSICS.

Construction with digital twin information systems

Mark Girolami, Ioannis Brilakis, Rafael Sacks, 2020, Data-Centric Engineering.

Propagative broad learning for nonparametric modeling of ambient effects on structural health indicators

Mark Girolami, Ka-Veng Yuen, Sin-Chi Kuok, 2020 .

Handbook of Statistical Systems Biology

Mark Girolami, Michael P. H. Stumpf, David J. Balding, 2011 .

The silicon trypanosome: a test case of iterative model extension in systems biology.

Mark Girolami, Rainer Breitling, Dong-Hyun Kim, 2014, Advances in microbial physiology.

Temporal Anti-Hebbian Learning

Mark Girolami, 1999 .

Introducing Data-Centric Engineering: An open access journal dedicated to the transformation of engineering design and practice

Mark Girolami, M. Girolami, 2020, Data-Centric Engineering.

Latent class and trait models for data classification and visualisation

Richard M. Everson, Stephen J. Roberts, Mark Girolami, 2001 .

Uncertainty quantification for data-driven turbulence modelling with Mondrian forests

Mark Girolami, Pranay Seshadri, Ashley Scillitoe, 2021, J. Comput. Phys..

Integration in reproducing kernel Hilbert spaces of Gaussian kernels

Mark Girolami, Toni Karvonen, Chris J. Oates, 2020, Math. Comput..

A Unifying and Canonical Description of Measure-Preserving Diffusions

Mark Girolami, Alexis Arnaudon, Michael Betancourt, 2021, 2105.02845.

Statistical Finite Elements via Langevin Dynamics pdf

Mark Girolami, Ömer Deniz Akyildiz, Sotirios Sabanis, 2021, SIAM/ASA J. Uncertain. Quantification.

Continuous calibration of a digital twin: Comparison of particle filter and Bayesian calibration approaches

Mark Girolami, Alastair Gregory, Ruchi Choudhary, 2020, Data-Centric Engineering.

A graph representation based on fluid diffusion model for multimodal data analysis: theoretical aspects and enhanced community detection pdf

Christian Jutten, Mark Girolami, Andrea Marinoni, 2021, ArXiv.

Optimization on manifolds: A symplectic approach

Michael I. Jordan, Mark Girolami, Alessandro Barp, 2021 .

Variational Bayesian approximation of inverse problems using sparse precision matrices

Mark Girolami, Ieva Kazlauskaite, Fehmi Cirak, 2021, Computer Methods in Applied Mechanics and Engineering.

Low-rank statistical finite elements for scalable model-data synthesis pdf

Mark Girolami, Thomas Stemler, Edward Cripps, 2021, ArXiv.

A Self-Sensing Digital Twin of a Railway Bridge using the Statistical Finite Element Method pdf

Mark Girolami, Fehmi Cirak, Liam J. Butler, 2021, ArXiv.

Scaling digital twins from the artisanal to the industrial

Mark Girolami, Karen Willcox, Michael S. Sacks, 2021, Nature Computational Science.

Error analysis for a statistical finite element method pdf

Mark Girolami, Toni Karvonen, Fehmi Cirak, 2022, ArXiv.

Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights

Mark Girolami, Arman Malekloo, Ekin Ozer, 2021, Structural Health Monitoring.

Theoretical Guarantees for the Statistical Finite Element Method pdf

Mark Girolami, Jon Cockayne, Andrew B. Duncan, 2021, ArXiv.

Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction pdf

Christian Jutten, Mark Girolami, Andrea Marinoni, 2021, ArXiv.

Digital twinning of self-sensing structures using the statistical finite element method

Mark Girolami, Fehmi Cirak, Eky Febrianto, 2021 .

IMPLEMENTING DECISIONS IN BINARY DECISION TREES USING INDEPENDENT COMPONENT ANALYSIS

Mark Girolami, Petteri Pajunen, M. Girolami, 2007 .

Unbiased local solutions of partial differential equations via the Feynman-Kac Identities

Mark Girolami, Murray Pollock, Jake Carson, 2016, 1603.04196.

Population MCMC Methods for History Matching and Uncertainty Quantification

Michael Andrew Christie, Maurizio Filippone, Mark Girolami, 2010 .

Systems biology: opening new avenues in clinical research.

Mark Girolami, Matthias Dehmer, Paul Perco, 2010, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

BRCA1 and BRCA2 Missense Variants of High and Low Clinical Significance Influence Lymphoblastoid Cell Line Post-Irradiation Gene Expression

Mark Girolami, Amanda B. Spurdle, Piyush Grover, 2008, PLoS genetics.

EWS-FLI1 employs an E2F switch to drive target gene expression

Mark Girolami, Theodore Papamarkou, Sven Bilke, 2015, Nucleic acids research.

Semi-Exact Control Functionals From Sard’s Method

Mark Girolami, Toni Karvonen, Leah F. South, 2020, Biometrika.

Model based identification of transcription factor activity from microarray data

Mark Girolami, Simon Rogers, M. Girolami, 2006 .

Bayesian methods to detect dye‐labelled DNA oligonucleotides in multiplexed Raman spectra

Mark Girolami, Mingjun Zhong, Duncan Graham, 2011 .

The Controlled Thermodynamic Integral for Bayesian Model Comparison

Mark Girolami, Theodore Papamarkou, Chris J. Oates, 2014, 1404.5053.

The Statistical Finite Element Method

Mark Girolami, Alastair Gregory, Fehmi Cirak, 2019, 1905.06391.

Bayesian modelling and quantification of Raman spectroscopy

Mark Girolami, Duncan Graham, Matthew Moores, 2016, 1604.07299.

Probabilistic Integration and Intractable Distributions

Mark Girolami, Chris J. Oates, François-Xavier Briol, 2016 .

Probabilistic Numerical Methods for Partial Differential Equations and Bayesian Inverse Problems ∗

Mark Girolami, Chris J. Oates, Jon Cockayne, 2018 .

Comprar Handbook Of Statistical Systems Biology | Michael P. H. Stumpf | 9780470710869 | Wiley

Mark Girolami, Michael P. H. Stumpf, David J. Balding, 2011 .

Bayesian Uncertainty Quantication for Dierential Equations

Mark Girolami, David A. Campbell, Ben Calderhead, 2014 .

Bayesian Data Fusion with Gaussian Process Priors : An Application to Protein Fold Recognition ?

Mark Girolami, 2006 .