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
| DATE | SPEAKER | TITLE |
| 22 Nov 2019 | Søren Kyllingsbæk Head of Department of Psychology, UCPH |
|
| 10 Jan 2020 | Sune Hannibal Holm Associate professor, Department of Food and Resource Economics, UCPH |
Previous Seminars
2019
| DATE | SPEAKER | TITLE |
| 16 Sept 2019 (EXTRA) |
Yasin Abbasi-Yadkori Researcher at VinAI |
Efficient exploration in sequential decision making problems |
| 6 Sept 2019 | Thomas Hamelryck Associate Professor, The Bioinformatics Centre, UCPH |
Deep probabilistic programming and the protein folding problem |
| 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 |
2018
| DATE | SPEAKER | TITLE |
| 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 |
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