Inferring Latent Functions with Gaussian Processes in Differential Equations
Gaussian Processes and Gene Regulation
Modelling Genomic Data
Latent Force Models with Gaussian Processes
Biomedical Signal and Image Processing
Prior Knowledge and Sparse Methods for Convolved Multiple Outputs Gaussian Processes
On the Use of Supervised Learning Techniques to Speed up the Design of Aeronautics Components
Variational inference and learning for continuous-time nonlinear state-space models
Convolutional Neural Networks and Computer Vision
Validating inferred gene networks using ODE models of regulation dynamics