• Contextual movement models based on normalizing flows 

      Fadel, Samuel G.; Mair, Sebastian; Torres, Ricardo Da Silva; Brefeld, Ulf (Journal article; Peer reviewed, 2021)
      Movement models predict positions of players (or objects in general) over time and are thus key to analyzing spatiotemporal data as it is often used in sports analytics. Existing movement models are either designed from ...
    • Neural relational inference for disaster multimedia retrieval 

      Fadel, Samuel G.; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      Events around the world are increasingly documented on social media, especially by the people experiencing them, as these platforms become more popular over time. As a consequence, social media turns into a valuable source ...
    • Principled Interpolation in Normalizing Flows 

      Fadel, Samuel G.; Mair, Sebastian; Torres, Ricardo Da Silva; Brefeld, Ulf (Chapter, 2021)
      Generative models based on normalizing flows are very successful in modeling complex data distributions using simpler ones. However, straightforward linear interpolations show unexpected side effects, as interpolation paths ...