Paul Hofman

PhD student, Institute of Computer Science, Ludwig-Maximilians-Universität München

Joined

February 2023

Names

Paul Hofman (Preferred)

Emails

****@hotmail.com (Confirmed)

,

****@ifi.lmu.de (Confirmed)

Personal Links

Career & Education History

PhD student

Institute of Computer Science, Ludwig-Maximilians-Universität München (ifi.lmu.de)

2022 – Present

Advisors, Relations & Conflicts

PhD Advisor

Eyke Hüllermeier

2022 – Present

Expertise

No areas of expertise listed

Publications

Efficient Credal Prediction through Decalibration
Paul Hofman, Timo Löhr, Maximilian Muschalik, Yusuf Sale, Eyke Hüllermeier
- ICLR 2026 Poster
- Readers: Everyone
Credal Prediction based on Relative Likelihood
Timo Löhr, Paul Hofman, Felix Mohr, Eyke Hüllermeier
- NeurIPS 2025 spotlight
- Readers: Everyone
Quantifying Aleatoric and Epistemic Uncertainty: A Credal Approach
Paul Hofman, Yusuf Sale, Eyke Hüllermeier
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Label-wise Aleatoric and Epistemic Uncertainty Quantification
Yusuf Sale, Paul Hofman, Timo Löhr, Lisa Wimmer, Thomas Nagler, Eyke Hüllermeier
- UAI 2024 poster
- Readers: Everyone
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
- Published: 08 May 2023, Last Modified: 22 Jun 2025
- UAI 2023
- Readers: Everyone

Co-Authors