Wimmer, Lisa

1. Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?
   2022/09/07 by Wimmer, Lisa, Sale, Yusuf, Hofman, Paul +2 · 23 citations
   Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
2. Label-wise Aleatoric and Epistemic Uncertainty Quantification
   2024/06/04 by Sale, Yusuf, Hofman, Paul, Löhr, Timo +3 · 6 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Second-Order Uncertainty Quantification: Variance-Based Measures
   2023/12/30 by Yusuf Sale, Sale, Yusuf, Paul Hofman +7 · 3 citations
   Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Statistical and Computational Modeling
4. Probabilistic Self-supervised Learning via Scoring Rules Minimization
   2023/09/05 by Vahidi, Amirhossein, Schoßer, Simon, Wimmer, Lisa +4 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry
   2023/04/06 by Wiese, Jonas Gregor, Wimmer, Lisa, Papamarkou, Theodore +3 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)