Moritz Grosse‐Wentrup

1. General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
   2020/07/08 by Christoph Molnar, Gunnar König, Molnar, Christoph +15 · 10 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
2. 2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets
   2022/02/14 by Xiaoxi Wei, A. Aldo Faisal, Wei, Xiaoxi +39 · 5 citations
   Medicine · Neuroscience · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Neonatal and fetal brain pathology #Signal Processing (eess.SP) #electronic engineering #information engineering
3. Improvement-Focused Causal Recourse (ICR)
   2022/10/27 by Gunnar König, Timo Freiesleben, König, Gunnar +3 · 4 citations
   Social Sciences · Computer Science · #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning
4. Efficient SAGE Estimation via Causal Structure Learning
   2023/04/06 by Christoph Luther, Gunnar König, Luther, Christoph +3 · 1 citation
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
5. A Causal Perspective on Meaningful and Robust Algorithmic Recourse
   2021/07/16 by Gunnar König, Timo Freiesleben, König, Gunnar +3 · 2 citations
   Computer Science · #Computability, Logic, AI Algorithms #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms