End-to-End Training of Neural Networks for Automotive Radar Interference Mitigation. - Christian Oswald; Máté Tóth; Paul Meissner; Franz Pernkopf (CoRR, 2023)

Angle-Equivariant Convolutional Neural Networks for Interference Mitigation in Automotive Radar. - Christian Oswald; Máté Tóth; Paul Meissner; Franz Pernkopf (CoRR, 2024)

The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty. - Håvard Hegre; Paola Vesco; Michael Colaresi; Jonas Vestby; Alexa Timlick; Noorain Syed Kazmi; Friederike Becker; Marco Binetti; Tobias Bodentien; Tobias Bohne; Patrick T. Brandt; Thomas Chadefaux; et al. (CoRR, 2024)