Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts. - Raluca Alexandra Fetic; Mikkel Jordahn; Lucas Chaves Lima; Rasmus Arpe Fogh Egebæk; Martin Carsten Nielsen; Benjamin Biering; Lars Kai Hansen (CoRR, 2021)

On the role of model uncertainties in Bayesian optimisation. - Jonathan Foldager; Mikkel Jordahn; Lars Kai Hansen; Michael Riis Andersen (UAI, 2023)

On the role of Model Uncertainties in Bayesian Optimization. - Jonathan Foldager; Mikkel Jordahn; Lars Kai Hansen; Michael Riis Andersen (CoRR, 2023)

Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks. - Mikkel Jordahn; Pablo M. Olmos (ICML, 2024)

Neural machine translation for automated feedback on children's early-stage writing. - Jonas Vestergaard Jensen; Mikkel Jordahn; Michael Riis Andersen (NLDL, 2024)

On Local Posterior Structure in Deep Ensembles. - Mikkel Jordahn; Jonas Vestergaard Jensen; Mikkel N. Schmidt; Michael Riis Andersen (AISTATS, 2025)

Bayesian Optimization via Continual Variational Last Layer Training. - Paul Brunzema; Mikkel Jordahn; John Willes; Sebastian Trimpe; Jasper Snoek; James Harrison (ICLR, 2025)