Lisa Wimmer

PhD student, Department of Statistics, LMU Munich

Joined

September 2022

Names

Lisa Wimmer (Preferred)

Emails

****@gmail.com (Confirmed)

****@stat.uni-muenchen.de

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

PhD student

Department of Statistics, LMU Munich (stat.uni-muenchen.de)

2022 – Present

Advisors, Relations & Conflicts

PhD Advisor

Bernd Bischl

2022 – Present

PhD Advisor

Eyke Hüllermeier

2022 – Present

Expertise

Probabilistic Machine Learning

Present

Uncertainty Quantification

Present

Bayesian Deep Learning

Present

Publications

Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning
Lisa Wimmer, Bernd Bischl, Ludwig Bothmann
- SCSL @ ICLR 2025
- 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
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou, Ludwig Bothmann, Bernd Bischl, David Rügamer
- ICML 2024 Poster
- Readers: Everyone
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
Amirhossein Vahidi, Simon Schosser, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
- ICLR 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
Towards Efficient Posterior Sampling in Deep Neural Networks via Symmetry Removal
Jonas Gregor Wiese, Lisa Wimmer, Bernd Bischl, Stephan Günnemann, David Rügamer
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Uncertainty-Aware Self-Supervised Learning with Independent Sub-networks
Amirhossein Vahidi, Lisa Wimmer, Hüseyin Anil Gündüz, Bernd Bischl, Mina Rezaei
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone

Lisa Wimmer

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning

Label-wise Aleatoric and Epistemic Uncertainty Quantification

Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?

Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization

Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?

Towards Efficient Posterior Sampling in Deep Neural Networks via Symmetry Removal

Uncertainty-Aware Self-Supervised Learning with Independent Sub-networks

Co-Authors