Lisa Wimmer
Scholar

Lisa Wimmer

Google Scholar ID: l0hl-mAAAAAJ
PhD student @LMU Munich | Munich Center for Machine Learning (MCML) | relAI Konrad Zuse School
Uncertainty QuantificationProbabilistic Machine LearningBayesian Neural Networks
Citations & Impact
All-time
Citations
224
 
H-index
7
 
i10-index
5
 
Publications
10
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple papers, including 'Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning', 'Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning', etc.
Research Experience
  • Active in research subgroups such as Probabilistic Machine and Deep Learning and Causal and Fair Machine Learning.
Education
  • Started as a PhD student at the Statistical Learning & Data Science working group in February 2022; obtained a Bachelor's degree (B.A.) in Business Administration from DHBW Ravensburg and a Bachelor's and consecutive Master's degree (B.Sc., M.Sc.) in Statistics from LMU Munich. Advisor: Prof. David Rügamer.
Background
  • Research Interests: Predictive uncertainty and probabilistic machine learning, Bayesian neural networks, Symmetries and posterior landscapes, Overparameterization and generalization, Distributional robustness and causal inference. Professional field: Statistics.
Miscellany
  • Personal interests and hobbies not mentioned.
Co-authors
0 total
Co-authors: 0 (list not available)