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Lars Kai Hansen

On the role of Model Uncertainties in Bayesian Optimization

Jan 14, 2023
Jonathan Foldager, Mikkel Jordahn, Lars Kai Hansen, Michael Riis Andersen

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* 14 pages, 4 figures, 2 tables

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Generalization by design: Shortcuts to Generalization in Deep Learning

Jul 05, 2021
Petr Taborsky, Lars Kai Hansen

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* 16 pages + 9 pages supplementary

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A simple defense against adversarial attacks on heatmap explanations

Jul 13, 2020
Laura Rieger, Lars Kai Hansen

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* Accepted at 2020 Workshop on Human Interpretability in Machine Learning (WHI)

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Probabilistic Decoupling of Labels in Classification

Jun 16, 2020
Jeppe Nørregaard, Lars Kai Hansen

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* Submitted to ICML 2020 (not accepted)

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IROF: a low resource evaluation metric for explanation methods

Mar 09, 2020
Laura Rieger, Lars Kai Hansen

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