SCIENCE AI Centre is pleased to announce our new AI seminar series, which will highlight advances and challenges in research within Machine Learning, Data Science, and AI. Like the AI Centre itself, the seminar series will have a broad scope, covering both new methodological contributions, ground-breaking applications, and impacts on society.

The speakers will consist of researchers from the participating departments as well as external speakers.

The seminars will take place every second Friday at 13:00 in "Lille UP1" - the small auditorium in Universitetsparken 1, 2100 Cph Ø.

Find more information about each seminar by clicking on the titles. All seminars will be announced in the event calendar on this website.

Scheduled Seminars

At the moment, we are working on an interesting program after the summer holidays. We will add upcoming AI Seminars here soon.

6 Sept 2019 Thomas Hamelryck
Associate Professor, The Bioinformatics Centre, UCPH

Deep probabilistic programming and the protein folding problem

Slides from seminar

16 Sept 2019
Yasin Abbasi-Yadkori
Researcher at VinAI
Efficient exploration in sequential decision making problems
4 Oct 2019 Sune Hannibal Holm
Associate professor, Department of Food and Resource Economics, UCPH

What does it mean for an algorithm to be fair?

22 Nov 2019 Søren Kyllingsbæk
Head of Department of Psychology, UCPH

A Computational Model of Intention Selection

Previous Seminars


14 June 2019 Jonas Martin Peters
Associate Professor, Department of Mathematical Sciences, UCPH
A stability upgrade for data-driven models

Slides from seminar
13 June 2019 (EXTRA) Daniel Beck
Research fellow, University of Melbourne
Natural Language Generation in the Wild
16 May 2019 Mikkel Thorup
Professor, Department of Computer Science, UCPH
The Power of Theory in Practice of Hashing with Focus on Similarity Estimation
3 May 2019 Troels Petersen
Associate Professor, Niels Bohr Institute, UCPH
Machine Learning meets Particle Physics

Slides from seminar
10 April 2019 (EXTRA) Naftali Tishby
Professor of Computer Science, incumbent of the Ruth and Stan Flinkman Chair for Brain Research at the Edmond and Lily Safra Center for Brain Science (ELSC), Hebrew University of Jerusalem.
The Information Bottleneck Theory of Deep Learning: Towards Interpredable Deep Neural Networks
5 April 2019 Søren Hauberg
Associate Professor, Department of Applied Mathematics and Computer Science, DTU
Only Bayes should learn a manifold

Slides from seminar
22 March 2019 Yevgeny Seldin
Associate Professor, Department of Computer Science, UCPH
Algorithms for Easy and Hard Online Learning Environments

Slides from seminar
8 March 2019 Isabelle Augenstein
Assistant Professor, Department of Computer Science, UCPH
Natural Language Understanding with Limited Training Data
22 Feb 2019 Frank Van Der Meulen
Associate professor, Delft University of Technology
Continuous-discrete smoothing of diffusions

Slides from seminar
8 Feb 2019 Jes Frellsen
Associate Professor, Computer Science Department, ITU
Deep latent variable models: estimation and missing data imputation

Slides from seminar
25 Jan 2019 Søren Mørk
Chief Model Risk Analyst, Nordea
Machine Learning and Banking: a Model Risk Perspective
11 Jan 2019

Susanne Claus
Postdoc, Department of Computer Science, UCPH
Cut Finite Element Methods for Contact Problem

Slides from seminar


30 Nov 2018 Desmond Elliott
Assistant Professor, Department of Computer Science, UCPH
Multilingual multimodal language understanding
16 Nov 2018

Luana Micallef
Assistant Professor, Department of Computer Science, UCPH
Towards an AI-Human Symbiosis Using Information Visualization