AI Seminar Series – University of Copenhagen

SCIENCE AI Centre > AI Seminar Series

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 15:00 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

DATE SPEAKER TITLE
16 Nov 2018

Luana Micallef
Assistant Professor, Department of Computer Science, UCPH
Towards an AI-Human Symbiosis Using Information Visualization
30 Nov 2018 Desmond Elliott
Assistant Professor, Department of Computer Science, UCPH
Multilingual multimodal language understanding
11 Jan 2019

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

Slides from seminar
25 Jan 2019 Søren Mørk
Chief Model Risk Analyst, Nordea
Machine Learning and Banking: a Model Risk Perspective
8 Feb 2019 Jes Frellsen
Associate Professor, Computer Science Department, ITU
Deep latent variable models: estimation and missing data imputation

Slides from seminar
22 Feb 2019 Frank Van Der Meulen
Associate professor, Delft University of Technology

Continuous-discrete smoothing of diffusions

Slides from seminar

8 March 2019 Isabelle Augenstein
Assistant Professor, Department of Computer Science, UCPH
Natural Language Understanding with Limited Training Data
22 March 2019 Yevgeny Seldin
Associate Professor, Department of Computer Science, UCPH

Algorithms for Easy and Hard Online Learning Environments

Slides from seminar

5 April 2019 Søren Hauberg
Associate Professor, Department of Applied Mathematics and Computer Science, DTU
Only Bayes should learn a manifold
19 April 2019 No talk (Good Friday)
3 May 2019 Troels Petersen
Associate Professor, Niels Bohr Institute, UCPH
Machine Learning meets Particle Physics
17 May 2019 Mikkel Thorup
Professor, Department of Computer Science, UCPH
The Power of Theory in Practice of Hashing with Focus on Similarity Estimation
14 June 2019 Jonas Martin Peters
Associate Professor, Department of Mathematical Sciences, UCPH
TBA

Ekstra information / Sidebar

Contact

Wouter Krogh Boomsma
Assistant Professor, Department of Computer Science
wb@di.ku.dk

Aasa Feragen
Associate Professor, Department of Computer Science
aasa@di.ku.dk