Explainable AI via Semantic Information Pursuit

René Vidal, John Hopkins University

08.03.2023

5:00 pm - 6:30 pm

Livestream on YouTube

There is a significant interest in developing ML algorithms whose final predictions can be explained in terms understandable to a human. To address this challenge, we develop a method for constructing high performance ML algorithms which are explainable by design.

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Lecture • 12.06.2026 • LMU Munich, CAS, Seestr. 13, Munich

Analyzing Feature Interactions Through Local Effects in Machine Learning Models

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Explainable AI via Semantic Information Pursuit

René Vidal, John Hopkins University

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