Lunch Seminar 16/11/2022

Gaussian Process applications

and Bayesian Deep Learning

Delayed pleasure is double pleasure. Therefore, we were very glad to be able to announce this GP lunch seminar. It took place in a physical format, with a real lunch, on 16th November, at campus Groenenborger.

We offered a research talk by Thomas McDonald from the University of Manchester and two presentations by local PhD students, showing applications where they made use of Gaussian Processes.

Dynamic line scan thermography parameter design via Gaussian process emulation - Simon Verspeek

[pdf]

Understanding the Significance, Processing and Analysis of Point Clouds - Stuti Pathak

[pdf]

Bayesian Deep Learning with Physics-informed Gaussian Processes - Thomas McDonald

[pdf]