Lisa Wimmer

17 papers A* 3A 2Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the analysis of spectral deferred corrections for differential-algebraic equations of index one.
CoRR
Matthias Bolten, Lisa Wimmer
2025 J jnl
Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning.
CoRR
Lisa Wimmer, Bernd Bischl, Ludwig Bothmann
2024 A* conf
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
ICML
Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou, Ludwig Bothmann, Bernd Bischl, David Rügamer
2024 J jnl
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
CoRR
Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou, Ludwig Bothmann, Bernd Bischl, David Rügamer
2024 — conf
Diversified Ensemble of Independent Sub-networks for Robust Self-supervised Representation Learning.
ECML/PKDD (1)
Amihossein Vahidi, Lisa Wimmer, Hüseyin Anil Gündüz, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
2024 A conf
Label-wise Aleatoric and Epistemic Uncertainty Quantification.
UAI
Yusuf Sale, Paul Hofman, Timo Löhr, Lisa Wimmer, Thomas Nagler, Eyke Hüllermeier
2024 J jnl
Label-wise Aleatoric and Epistemic Uncertainty Quantification.
CoRR
Yusuf Sale, Paul Hofman, Timo Löhr, Lisa Wimmer, Thomas Nagler, Eyke Hüllermeier
2024 A* conf
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization.
ICLR
Amirhossein Vahidi, Simon Schoßer, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
2024 J jnl
Second-Order Uncertainty Quantification: Variance-Based Measures.
CoRR
Yusuf Sale, Paul Hofman, Lisa Wimmer, Eyke Hüllermeier, Thomas Nagler
2024 A* conf
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract).
IJCAI
Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer
2023 J jnl
Automated wildlife image classification: An active learning tool for ecological applications.
CoRR
Ludwig Bothmann, Lisa Wimmer, Omid Charrakh, Tobias Weber, Hendrik Edelhoff, Wibke Peters, Hien Nguyen, Caryl Benjamin, Annette Menzel
2023 J jnl
Automated wildlife image classification: An active learning tool for ecological applications.
Ecol. Informatics
Ludwig Bothmann, Lisa Wimmer, Omid Charrakh, Tobias Weber, Hendrik Edelhoff, Wibke Peters, Hien Nguyen, Caryl Benjamin, Annette Menzel
2023 J jnl
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning.
CoRR
Amirhossein Vahidi, Lisa Wimmer, Hüseyin Anil Gündüz, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
2023 J jnl
Probabilistic Self-supervised Learning via Scoring Rules Minimization.
CoRR
Amirhossein Vahidi, Simon Schoßer, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
2023 A conf
Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?
UAI
Lisa Wimmer, Yusuf Sale, Paul Hofman, Bernd Bischl, Eyke Hüllermeier
2023 — conf
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
ECML/PKDD (1)
Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer
2023 J jnl
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
CoRR
Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer