Author

Thomas Bo Schön

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#machine learning Apr 2026

Safe learning-based control via function-based uncertainty quantification

The authors' uncertainty tubes rely solely on sampled realizations and can therefore accommodate discontinuities represented by the sampling model and are integrated into a safe Bayesian optimization algorithm with which to safely tune control parameters on a real Furuta pendulum.

Abdullah Tokmak, Toni Karvonen, Thomas Bo Schön et al. · arXiv.org · 1 citation

#artificial intelligence Preprint Sep 2026

On the role of the tokenizer in ECG transformer models

Tokenization determines both the physiological content presented to an ECG Transformer and the sequence over which attention operates. We compare eight tokenization strategies across Transformer, Informer, Reformer, and FEDformer on the nine-label CPSC2018 classification task. The input projection and principal backbon...

Jia-Wei Li, Fabio Bonassi, J. Sundström et al. · 0 citations