![](https://missing-data.compute.dtu.dk/wp-content/uploads/2022/12/LineClemmensen.jpg)
Associate Professor
Line Katrine Harder Clemmensen
DTU Compute
Technical University of Denmark
Topics: Data Representativity in ML/AI
![](https://missing-data.compute.dtu.dk/wp-content/uploads/2023/04/Morten.jpg)
Assistant Professor
Morten Rieger Hannemose
DTU Compute
Technical University of Denmark
Topics: An introduction to and a history of Generative models. From Eigenfaces to Diffusion models. Analysis by synthesis, VAE, GAN.
![](https://missing-data.compute.dtu.dk/wp-content/uploads/2023/03/jes.jpg)
Associate Professor
Jes Frellsen
DTU Compute
Technical University of Denmark
Topics: What is missing data and how to deal with missing data in deep learning?
![](https://missing-data.compute.dtu.dk/wp-content/uploads/2023/03/Kamal.jpg)
Professor
Kamal Nasrollahi
Aalborg University
Topics: Concept drifts, synthetic data generation.
![](https://missing-data.compute.dtu.dk/wp-content/uploads/2023/04/Robert.jpg)
Professor
Robert Jenssen
The Arctic University of Norway
Topics: Self supervision, autoencoders, anomaly detection.
![Mads Nielsen](https://missing-data.compute.dtu.dk/wp-content/uploads/2021/10/mads.jpg)
Professor
Mads Nielsen
Copenhagen University
Topics: Outlook and perspectives