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 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 |
| 25 Nov 2022 |
Casper Kaae Sønderby |
Transforming the power grid to a zero-carbon future with data, machine learning and automation |
| 20 Jan 2023 |
Naomi Saphra |
TBA |
| 27 Jan 2023 |
Andrew White |
TBA |
Previous Seminars
| DATE | SPEAKER | TITLE |
| 11 Nov |
Rob van der Goot |
Mysteries in multi-task learning and input representations for language models |
| 7 Oct |
Andrew Schwartz |
Human-Centered Natural Language Processing |
| 30 Sep |
Andreas Bjerre-Nielsen |
Big data for predicting student success - limits and policy potential |
| 23 Sep |
Line Katrine Harder Clemmensen |
AI tools for the child and youth psychiatry - focused on OCD |
| 2 Sep | Taelin Karidi PhD student in the School of Computer Science at The Hebrew University of Jerusalem (HUJI) |
Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords |
| 11 May |
Bryan Eikema |
A Distribution-Aware Decision Rule for Neural Machine Translation |
| 8 Apr |
Nora Hollenstein |
Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color |
| 11 Mar |
Vered Schwartz |
Incorporating Commonsense Reasoning into NLP Models |
| 11 Feb | Gül Varol Permanent researcher at the IMAGINE team of École des Ponts ParisTech. |
What can we learn from subtitled sign language data? |
| 21 Jan |
Samira Abnar |
Exploring the Limits of Large Scale Pre-training |
| DATE | SPEAKER | TITLE |
|
3 Sep |
Debora Marks Associate Professor of Systems Biology at Harvard Medical School. |
Design and prediction of biological sequences with neural machines |
| 17 Jun | Henrik Palmer Olsen Associate Dean for Research at Faculty of Law, University of Copenhagen. Sebastian Felix Schwemer Associate Professor at the Centre for Information and Innovation Law, University of Copenhagen. |
The EU “Artificial Intelligence Act” (AIA) Proposal |
| 3 Jun | Jasmijn Bastings Google Amsterdam PhD, ILLC, University of Amsterdam |
Towards Trustworthy Natural Language Processing |
| 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 |
| 29 Apr | Jonathan Berant Associate professor at the School of Computer Science, Tel-Aviv University |
Beyond supervised learning: generalization, few-shot learning, and robustness |
| 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 |
| 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 Jun (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 Mar | 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? |
| DATE | SPEAKER | TITLE |
| 20 Dec | Andreas Bock PhD student, Imperial College London |
|
| 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 |
|
| 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 Jun | Jonas Martin Peters Associate Professor, Department of Mathematical Sciences, UCPH |
A stability upgrade for data-driven models |
| 13 Jun (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 Apr (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 Apr | Søren Hauberg Associate Professor, Department of Applied Mathematics and Computer Science, DTU |
Only Bayes should learn a manifold |
| 22 Mar | Yevgeny Seldin Associate Professor, Department of Computer Science, UCPH |
Algorithms for Easy and Hard Online Learning Environments |
| 8 Mar | 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 |
| 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
Desmond Elliott
Assistant Professor, Department of Computer Science
de@di.ku.dk