Network on Gaussian Processes


In essence, the concept of “Gaussian Processes” (GP) exists for many years, but during the last few years they pop up in different disciplines, often presented in a new toolkit.

In December 2019 we launched an interdisciplinary interest group around the possibilities and the challenges of GP. The objective was (and still is) the organic expansion of a platform for discussions and sharing of ideas on theoretical contributions and practical applications, creating a fertile soil for future cooperation and project proposals.

You should care about this as soon as you get involved in topics like probabilistic numerics, interpolation and optimization in uncertain environments, explainable machine learning, design of sample measurements and pseudo-inputs, etc...


Bridging the gap between data-driven and mechanistic modelling: the latent force model approach.

- 13/05/2024

Hybrid seminar by

Mauricio A. Alvarez (Department of Computer Science at the University of Manchester)


Reparametrization invariance in representation learning


Hybrid seminar by Søren Hauberg

(Technical University of Denmark)                        

Finding Earth v2: adventures with Gaussian processes and exoplanets - 21/06/2023

Hybrid seminar by Stephen Roberts (Oxford University)                        

Gaussian Process applications and Bayesian Deep Learning - 17/11/2022

Lunch seminar on

Dynamic line scan thermography parameter design via Gaussian process emulation

by Simon Verspeek (UAntwerp)

Understanding the Significance, Processing and Analysis of Point Clouds

by Stuti Pathak (UAntwerp)

Bayesian Deep Learning with Physics-informed Gaussian Processes

by Thomas McDonald (University of Manchester)

Deep Gaussian Processes

as point estimates of

Deep Neural Networks - 23/03/2022

Online seminar by Carl Henrik Ek (Cambridge University)                         

Constrained Optimization in Simulation

Online seminar by Inneke Van Nieuwenhuyse (UHasselt)                         

Date: 23/12/2021

Modelling the Human Anatomy Using Gaussian Processes

Online seminar by Marcel Lüthi (University of Basel)

Date: 09/06/2021

An introduction to Bayesian optimization

Online seminar by Ivo Couckuyt (Ghent University)

Date: 23/02/2021

Fleet-Wide Policy Iteration using Gaussian Processes

Lunch seminar by Timothy Verstraeten (Vrije Universiteit Brussel)

Date: 26/02/2020

Exploiting Structure in Bayesian Optimization using Multi-Fidelity Probabilistic Models

Pilot lunch by Boris Bogaerts (UAntwerp) and Ivan De Boi (UAntwerp)

Date: 12/12/2019