92 citations · 145 across the 8 of their papers we have counts for
8 papers
Reliability of Probabilistic Emulation of Physical Systems
Sam F. Greenbury, Radka Jersakova, Paolo Conti +5
Two dominant approaches have emerged for generating probabilistic forecasts of physical systems: generative models, such as diffusion or flow matching; and ensembles of determinist…
Trustchain -- Trustworthy Decentralised Public Key Infrastructure for Digital Credentials
Tim Hobson, Lydia France, Sam Greenbury +2
The sharing of public key information is central to the digital credential security model, but the existing Web PKI with its opaque Certification Authorities and synthetic attestat…
Safe AI for health and beyond -- Monitoring to transform a health service
Mahed Abroshan, Michael Burkhart, Oscar Giles +7
Machine learning techniques are effective for building predictive models because they identify patterns in large datasets. Development of a model for complex real-life problems oft…
Data-driven modelling and characterisation of task completion sequences in online courses
Robert L. Peach, Sam F. Greenbury, Iain G. Johnston +3
The intrinsic temporality of learning demands the adoption of methodologies capable of exploiting time-series information. In this study we leverage the sequence data framework and…
HyperTraPS: Inferring probabilistic patterns of trait acquisition in evolutionary and disease progression pathways
Sam F. Greenbury, Mauricio Barahona, Iain G. Johnston
The explosion of data throughout the biomedical sciences provides unprecedented opportunities to learn about the dynamics of evolution and disease progression, but harnessing these…
Genetic correlations greatly increase mutational robustness and can both reduce and enhance evolvability
Sam F. Greenbury, Steffen Schaper, Sebastian E. Ahnert +1
Mutational neighbourhoods in genotype-phenotype (GP) maps are widely believed to be more likely to share characteristics than expected from random chance. Such genetic correlations…
A tractable genotype-phenotype map for the self-assembly of protein quaternary structure
Sam F. Greenbury, Iain G. Johnston, Ard A. Louis +1
The mapping between biological genotypes and phenotypes is central to the study of biological evolution. Here we introduce a rich, intuitive, and biologically realistic genotype-ph…
The effect of scale-free topology on the robustness and evolvability of genetic regulatory networks
Sam F. Greenbury, Iain G. Johnston, Matthew A. Smith +2
We investigate how scale-free (SF) and Erdos-Renyi (ER) topologies affect the interplay between evolvability and robustness of model gene regulatory networks with Boolean threshold…