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New Paths in Explainable AI with Shapley Interactions
A team of Transregio researchers from the University of Bielefeld University and LMU Munich has developed a new open source tool: shapiq. The software extends existing methods of explainable AI by analyzing not only the influence of individual features, but also their joint interactions. Maximilian Muschalik and Fabian Fumagalli will present their results at the NeurIPS 2024 conference.
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What Are Shapley Interactions, and Why Should You Care?
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Best Paper Award for TRR Researchers at xAI 2023
Great success in Lisbon: At the World Conference on eXplainable Artificial Intelligence, the team of the Transregio subproject C03 "Interpretable machine learning: explaining change" won the award for the best scientific publication. Maximilian Muschalik and Fabian Fumagalli travelled to Portugal for the conference and received the award for their paper "iPDP: On Partial Dependence Plots in Dynamic Modelling Scenarios".