Using time-series privileged information for provably efficient learning of prediction models. - Rickard K. A. Karlsson; Martin Willbo; Zeshan M. Hussain; Rahul G. Krishnan; David A. Sontag; Fredrik Johansson 002 (AISTATS, 2022)

Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks. - John Martinsson; Martin Willbo; Aleksis Pirinen; Olof Mogren; Maria Sandsten (DCASE, 2022)

Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration. - Edvin Listo Zec; Ebba Ekblom; Martin Willbo; Olof Mogren; Sarunas Girdzijauskas (FL@IJCAI, 2022)

Concept-aware clustering for decentralized deep learning under temporal shift. - Marcus Toftås; Emilie Klefbom; Edvin Listo Zec; Martin Willbo; Olof Mogren (CoRR, 2023)

Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning. - Martin Willbo; Aleksis Pirinen; John Martinsson; Edvin Listo Zec; Olof Mogren; Mikael Nilsson (CoRR, 2024)