Hofman, Paul

5 publications

ICLR 2026 Efficient Credal Prediction Through Decalibration Paul Hofman, Timo Löhr, Maximilian Muschalik, Yusuf Sale, Eyke Hüllermeier

NeurIPS 2025 Credal Prediction Based on Relative Likelihood Timo Löhr, Paul Hofman, Felix Mohr, Eyke Hüllermeier

UAI 2024 Label-Wise Aleatoric and Epistemic Uncertainty Quantification Yusuf Sale, Paul Hofman, Timo Löhr, Lisa Wimmer, Thomas Nagler, Eyke Hüllermeier

ICMLW 2024 Quantifying Aleatoric and Epistemic Uncertainty: A Credal Approach Paul Hofman, Yusuf Sale, Eyke Hüllermeier

UAI 2023 Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures? Lisa Wimmer, Yusuf Sale, Paul Hofman, Bernd Bischl, Eyke Hüllermeier