82 citations · 243 across the 24 of their papers we have counts for
3 papers · 1 filter
Scalable GAM using sparse variational Gaussian processes
Vincent Adam, Nicolas Durrande, ST John
Generalized additive models (GAMs) are a widely used class of models of interest to statisticians as they provide a flexible way to design interpretable models of data beyond linea…
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…
Bayesian inversion of a diffusion evolution equation with application to Biology
Jean-Charles Croix, Nicolas Durrande, Mauricio Alvarez
A common task in experimental sciences is to fit mathematical models to real-world measurements to improve understanding of natural phenomenon (reverse-engineering or inverse model…