Speaker |
David Ginsbourger |
|---|---|
Affiliation |
University of Bern |
Date |
Friday, 02 May 2025 |
Time |
12:00-13:00 |
Location |
UCL Centre for Artificial Intelligence, 1st Floor, 90 High Holborn, London WC1V 6BH |
Link |
https://ucl.zoom.us/j/99748820264 |
Event series |
Jump Trading/ELLIS CSML Seminar Series |
Abstract |
In this talk, I will give an overview of three different research collaborations pertaining to Gaussian Process modelling and active learning algorithms applied to chemistry-related challenges. In particular, I will present recent work on targeted sequential design for uncovering high-activity molecules under precise and imprecise measurements schemes, and also present fast approaches to encode stochastic equivariances within kernel methods. |
Biography |
I am heading the Uncertainty Quantification and Spatial Statistics Group and serving as Director of Studies in Statistics at the University of Bern, where I am co-directing the Institute of Mathematical Statistics and Actuarial Science. |