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Lisa Wimmer
Publication Activity (10 Years)
Years Active: 2023-2024
Publications (10 Years): 11
Top Topics
Machine Learning
Metropolis Hastings
Markov Chain Monte Carlo
Scoring Rules
Top Venues
CoRR
ECML/PKDD (1)
ICLR
UAI
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Publications
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Yusuf Sale
,
Paul Hofman
,
Lisa Wimmer
,
Eyke Hüllermeier
,
Thomas Nagler
Second-Order Uncertainty Quantification: Variance-Based Measures.
CoRR
(2024)
Emanuel Sommer
,
Lisa Wimmer
,
Theodore Papamarkou
,
Ludwig Bothmann
,
Bernd Bischl
,
David Rügamer
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
CoRR
(2024)
Yusuf Sale
,
Paul Hofman
,
Timo Löhr
,
Lisa Wimmer
,
Thomas Nagler
,
Eyke Hüllermeier
Label-wise Aleatoric and Epistemic Uncertainty Quantification.
CoRR
(2024)
Amirhossein Vahidi
,
Simon Schoßer
,
Lisa Wimmer
,
Yawei Li
,
Bernd Bischl
,
Eyke Hüllermeier
,
Mina Rezaei
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization.
ICLR
(2024)
Lisa Wimmer
,
Yusuf Sale
,
Paul Hofman
,
Bernd Bischl
,
Eyke Hüllermeier
Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?
UAI
(2023)
Ludwig Bothmann
,
Lisa Wimmer
,
Omid Charrakh
,
Tobias Weber
,
Hendrik Edelhoff
,
Wibke Peters
,
Hien Nguyen
,
Caryl Benjamin
,
Annette Menzel
Automated wildlife image classification: An active learning tool for ecological applications.
CoRR
(2023)
Ludwig Bothmann
,
Lisa Wimmer
,
Omid Charrakh
,
Tobias Weber
,
Hendrik Edelhoff
,
Wibke Peters
,
Hien Nguyen
,
Caryl Benjamin
,
Annette Menzel
Automated wildlife image classification: An active learning tool for ecological applications.
Ecol. Informatics
77 (2023)
Amirhossein Vahidi
,
Simon Schoßer
,
Lisa Wimmer
,
Yawei Li
,
Bernd Bischl
,
Eyke Hüllermeier
,
Mina Rezaei
Probabilistic Self-supervised Learning via Scoring Rules Minimization.
CoRR
(2023)
Jonas Gregor Wiese
,
Lisa Wimmer
,
Theodore Papamarkou
,
Bernd Bischl
,
Stephan Günnemann
,
David Rügamer
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
ECML/PKDD (1)
(2023)
Jonas Gregor Wiese
,
Lisa Wimmer
,
Theodore Papamarkou
,
Bernd Bischl
,
Stephan Günnemann
,
David Rügamer
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
CoRR
(2023)
Amirhossein Vahidi
,
Lisa Wimmer
,
Hüseyin Anil Gündüz
,
Bernd Bischl
,
Eyke Hüllermeier
,
Mina Rezaei
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning.
CoRR
(2023)