Freiesleben, Timo

1. General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
   2020/07/08 by Christoph Molnar, Gunnar König, Molnar, Christoph +15 · 8 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. Improvement-Focused Causal Recourse (ICR)
   2022/10/27 by Gunnar König, Timo Freiesleben, König, Gunnar +3 · 3 citations
   Social Sciences · Computer Science · #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning
3. Performative Validity of Recourse Explanations
   2025/06/18 by Gunnar König, König, Gunnar, Hidde Fokkema +7 · 3 citations
   Computer Science · Social Sciences · #Bayesian Modeling and Causal Inference #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research
   2023/06/07 by Freiesleben, Timo, König, Gunnar · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (stat.ML)
5. The Benchmarking Epistemology: Construct Validity for Evaluating Machine Learning Models
   2025/10/27 by Freiesleben, Timo, Zezulka, Sebastian · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)