27 citations · 45 across the 11 of their papers we have counts for
5 papers · 1 filter
Multioutput Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard Assessment
A. F. López-Lopera, D. Idier, J. Rohmer +1
Surrogate models are often used to replace costly-to-evaluate complex coastal codes to achieve substantial computational savings. In many of those models, the hydrometeorological f…
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
Andrés F. López-Lopera, ST John, Nicolas Durrande
Gaussian process (GP) modulated Cox processes are widely used to model point patterns. Existing approaches require a mapping (link function) between the unconstrained GP and the po…
Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
Andrés F. López-Lopera, François Bachoc, Nicolas Durrande +3
Adding inequality constraints (e.g. boundedness, monotonicity, convexity) into Gaussian processes (GPs) can lead to more realistic stochastic emulators. Due to the truncated Gaussi…
Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila
Andrés F. López-Lopera, Nicolas Durrande, Mauricio A. Alvarez
The regulatory process of Drosophila is thoroughly studied for understanding a great variety of biological principles. While pattern-forming gene networks are analysed in the trans…
Finite-dimensional Gaussian approximation with linear inequality constraints
Andrés F. López-Lopera, François Bachoc, Nicolas Durrande +1
Introducing inequality constraints in Gaussian process (GP) models can lead to more realistic uncertainties in learning a great variety of real-world problems. We consider the fini…