Mikkel Jordahn

According to our database, Mikkel Jordahn authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Bayesian Optimization via Continual Variational Last Layer Training.

Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On Local Posterior Structure in Deep Ensembles.

Mikkel Jordahn, Jonas Vestergaard Jensen, Mikkel N. Schmidt, Michael Riis Andersen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Neural machine translation for automated feedback on children's early-stage writing.

Jonas Vestergaard Jensen, Mikkel Jordahn, Michael Riis Andersen

Proceedings of the Northern Lights Deep Learning Conference, 2024

Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks.

Mikkel Jordahn, Pablo M. Olmos

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

On the role of Model Uncertainties in Bayesian Optimization.

Jonathan Foldager, Mikkel Jordahn, Lars Kai Hansen, Michael Riis Andersen

CoRR, 2023

On the role of model uncertainties in Bayesian optimisation.

Jonathan Foldager, Mikkel Jordahn, Lars Kai Hansen, Michael Riis Andersen

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2021

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