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
12 Mar	Ankit Kariryaa Postdoc at Department of Computer Science, University of Copenhagen	An unexpectedly large count of trees in the West African Sahara and Sahel
21 May	Niels Richard Professor of computational statistics in Department of Mathematical Sciences at University of Copenhagen	How do life events impact life trajectories? On methods for causal learning of time-dynamic event systems

Previous Seminars

2020

DATE	SPEAKER	TITLE
11 Dec	Andrew Flatman, Ask Holm Carlsen and Bjarke Skjødt The Geodata Office at the Danish Agency for Data Supply and Efficiency	Mapping All of Denmark
30 Sep	Carolin Lawrence Research scientist at NEC Labs Europe	Sequence Generation and Graph AI
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

Contact

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

Francois Lauze
Associate Professor, Department of Computer Science
francois@di.ku.dk