AI Seminar Series

The AI seminar series highlights 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 consist of researchers from the participating departments as well as external speakers.

The seminars generally take place every second Friday at 13:00 at Nørre Campus and online.

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
30 Sep Carolin Lawrence
Research scientist at NEC Labs Europe		 Sequence Generation and Graph AI

Previous Seminars

2020

DATE SPEAKER TITLE
11 Sep

Serge Belongie
Open seminar by Serge Belongie, Professor of Computer Science at Cornell University and Associate Dean at Cornell Tech.

 A New Workflow for Collaborative Machine Learning Research in Biodiversity
28 Aug Nikita Zhivotovskiy
Postdoctoral Researcher at Google Research, Brain Team, Zürich		 Robust k-means Clustering for Distributions with Two Moments
19 Aug Rianne de Heide
PhD Candidate, Leiden University		 Safe Testing
12 June
(Online)
 Simon Rasmussen
Associate Professor, PhD, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, UCPH		 Deep learning for multi-omics data integration
15 May
(CANCELLED)		 Maurice Weiler
PhD Researcher at University of Amsterdam, Netherlands		 Gauge Equivariant CNNs and coordinate independent convolutions
24 Apr
(CANCELLED)		 Carolin Lawrence
Research scientist at NEC Labs Europe
 Bidirectional Sequence Generation and Graph AI
6 March Heloisa N. Bordallo
Associate Professor in X-rays and Neutron Science at the Niels Bohr Institute, University of Copenhagen		 How can we use advanced decision-making Deep Learning for optimization of complex neutron experiments?
21 Feb Ozan Ötkem
Strategic Coordinator at KTHs Center for Applied and Industrial Mathematics (CIAM)		 Bayesian inversion for tomography through machine learning
10 Jan Sune Hannibal Holm
Associate professor, Department of Food and Resource Economics, UCPH		 What does it mean for an algorithm to be fair?

2019

DATE SPEAKER TITLE
20 Dec Andreas Bock
PhD student, Imperial College London

Diffeomorphic curve matching with finite elements
29 Nov David Vilares Calvo
Research Associate, University of A Coruña

Structured (Syntactic) Prediction without Structured Representations
22 Nov Søren Kyllingsbæk
Head of Department of Psychology, UCPH

A Computational Model of Intention Selection
16 Sep
(EXTRA)		 Yasin Abbasi-Yadkori
Researcher at VinAI		 Efficient exploration in sequential decision making problems
6 Sep Thomas Hamelryck
Associate Professor, The Bioinformatics Centre, UCPH

Deep probabilistic programming and the protein folding problem
14 June Jonas Martin Peters
Associate Professor, Department of Mathematical Sciences, UCPH
 A stability upgrade for data-driven models
13 June (EXTRA) Daniel Beck
Research fellow, University of Melbourne		 Natural Language Generation in the Wild
16 May Mikkel Thorup
Professor, Department of Computer Science, UCPH		 The Power of Theory in Practice of Hashing with Focus on Similarity Estimation
3 May Troels Petersen
Associate Professor, Niels Bohr Institute, UCPH		 Machine Learning meets Particle Physics
10 April (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 Søren Hauberg
Associate Professor, Department of Applied Mathematics and Computer Science, DTU		 Only Bayes should learn a manifold
22 March Yevgeny Seldin
Associate Professor, Department of Computer Science, UCPH		 Algorithms for Easy and Hard Online Learning Environments
8 March Isabelle Augenstein
Assistant Professor, Department of Computer Science, UCPH		 Natural Language Understanding with Limited Training Data
22 Feb Frank Van Der Meulen
Associate professor, Delft University of Technology		 Continuous-discrete smoothing of diffusions
8 Feb Jes Frellsen
Associate Professor, Computer Science Department, ITU		 Deep latent variable models: estimation and missing data imputation
25 Jan Søren Mørk
Chief Model Risk Analyst, Nordea		 Machine Learning and Banking: a Model Risk Perspective
11 Jan

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




2018

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

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