Generative models and uncertainty quantification lie at the heart of Bayesian modelling and inference. At this small meeting, we discuss recent developments within the field. The meeting is deliberately kept small in order to ensure that discussion remains honest, lively and interesting. Attendance is, thus, mostly by invitation, but one can apply to join (see below).
Machine Learning research scientist, Google Brain.
PhD Candidate, University of Cambridge.
Lecturer, Imperial College London.
Andrew Gordon Wilson (tentative)
Associate Professor, New York University.
Associate professor, University College London.
Principal scientist, Amazon.
Carl Henrik Ek
Associate professor, University of Cambridge.
Professor, University of Tübingen.
PhD student, University of Amsterdam.
Principal researcher, Microsoft Research Cambridge.
PhD student, University of Liège.
Assistant professor, University of British Columbia.
|Wednesday (Sep 14)||Thursday (Sep 15)|
|15:20-15:40||Coffee||15:40-16:00||Coffee and concluding remarks|
at restaurant Carl's Øl og Spisehus (directions)
If you would like to attend this workshop but have yet to receive an invitation, then please write an email to Søren Hauberg and include a link to your website or Google scholar profile. Note that seating is limited, so we cannot guarantee a ticket.
The conference is jointly organized by:
This workshop is funded through the Center for Basic Machine Learning Research in Life Science (NNF20OC0062606).