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Mark Girolami

Showing results (11-20 of 50) with videos related to

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Neural Computation|February 28, 2012
Markov chain Monte Carlo methods for state-space models with point process observationsKe Yuan, Mark Girolami, Mahesan Niranjan
Drug Discovery Today. Technologies|July 2, 2014
Analysis of complex, multidimensional datasetsMark Girolami, Harald Mischak, Ronald Krebs
BMC Bioinformatics|May 12, 2007
Bayesian model-based inference of transcription factor activitySimon Rogers, Raya Khanin, Mark Girolami
Journal of Biomedical Semantics|May 17, 2011
Protein interaction sentence detection using multiple semantic kernelsTamara Polajnar, Theodoros Damoulas, Mark Girolami
Proceedings of the National Academy of Sciences of the United States of America|February 10, 2023
Neural parameter calibration for large-scale multiagent modelsThomas Gaskin, Grigorios A Pavliotis, Mark Girolami
PNAS Nexus|April 1, 2024
Inferring networks from time series: A neural approachThomas Gaskin, Grigorios A Pavliotis, Mark Girolami
Proceedings. Mathematical, Physical, and Engineering Sciences|September 9, 2015
Probabilistic numerics and uncertainty in computationsPhilipp Hennig, Michael A Osborne, Mark Girolami
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 19, 2006
The latent process decomposition of cDNA microarray data setsSimon Rogers, Mark Girolami, Colin Campbell, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 31, 2025
Improving Embedding of Graphs with Missing Data by Soft ManifoldsAndrea Marinoni, Pietro Lio, Alessandro Barp, et al.
Methods in Molecular Biology (Clifton, N.J.)|May 30, 2013
Bayesian approaches for mechanistic ion channel modelingBen Calderhead, Michael Epstein, Lucia Sivilotti, et al.
Pageof 5

Showing results (11-20 of 50) with videos related to

Sort By:
Pageof 5
Neural Computation|February 28, 2012
Markov chain Monte Carlo methods for state-space models with point process observationsKe Yuan, Mark Girolami, Mahesan Niranjan
Drug Discovery Today. Technologies|July 2, 2014
Analysis of complex, multidimensional datasetsMark Girolami, Harald Mischak, Ronald Krebs
BMC Bioinformatics|May 12, 2007
Bayesian model-based inference of transcription factor activitySimon Rogers, Raya Khanin, Mark Girolami
Journal of Biomedical Semantics|May 17, 2011
Protein interaction sentence detection using multiple semantic kernelsTamara Polajnar, Theodoros Damoulas, Mark Girolami
Proceedings of the National Academy of Sciences of the United States of America|February 10, 2023
Neural parameter calibration for large-scale multiagent modelsThomas Gaskin, Grigorios A Pavliotis, Mark Girolami
PNAS Nexus|April 1, 2024
Inferring networks from time series: A neural approachThomas Gaskin, Grigorios A Pavliotis, Mark Girolami
Proceedings. Mathematical, Physical, and Engineering Sciences|September 9, 2015
Probabilistic numerics and uncertainty in computationsPhilipp Hennig, Michael A Osborne, Mark Girolami
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 19, 2006
The latent process decomposition of cDNA microarray data setsSimon Rogers, Mark Girolami, Colin Campbell, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 31, 2025
Improving Embedding of Graphs with Missing Data by Soft ManifoldsAndrea Marinoni, Pietro Lio, Alessandro Barp, et al.
Methods in Molecular Biology (Clifton, N.J.)|May 30, 2013
Bayesian approaches for mechanistic ion channel modelingBen Calderhead, Michael Epstein, Lucia Sivilotti, et al.
Pageof 5