Färber, Michael

5 publications

ICML 2025 CoDy: Counterfactual Explainers for Dynamic Graphs Zhan Qu, Daniel Gomm, Michael Färber

AAAI 2022 Safety Aware Reinforcement Learning by Identifying Comprehensible Constraints in Expert Demonstrations Leopold Müller, Lars Böcking, Michael Färber

AAAI 2022 Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References Igor Shapiro, Tarek Saier, Michael Färber

AAAI 2022 When to Use Which Neural Network? Finding the Right Neural Network Architecture for a Research Problem Michael Färber, Nicolas Weber

ECML-PKDD 2021 Quantifying Explanations of Neural Networks in E-Commerce Based on LRP Anna Nguyen, Franz Krause, Daniel Hagenmayer, Michael Färber