Andrea Ruglioni
About
Blog
Teaching
Publications
Deep kernel learning
Deep Kernel Learning (DKL) combines deep neural networks with Gaussian Processes to model complex data patterns. In this post, we explore DKL and implement a DKL model using the GPyTorch library in Python.
Jul 10, 2024
10 min
Multi-task Gaussian processes
Learn how to model multiple correlated outputs using the intrinsic model of coregionalization (ICM) and the linear model of coregionalization (LMC).
Jul 8, 2024
11 min
Introduction to Gaussian processes
An introduction to Gaussian Processes, discussing their mathematical foundations and practical applications in regression tasks.
Jun 25, 2024
17 min
No matching items
