08

Mar

Teaser image to Explainable AI via Semantic Information Pursuit

Munich AI Lectures

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.


Related

Link to Simplifying Debiased Inference via Automatic Differentiation and Probabilistic Programming

AI Keynote Series  •  13.02.2025  •  Online via Zoom

Simplifying Debiased Inference via Automatic Differentiation and Probabilistic Programming

13.02.25, 10-11:30 am: AI Keynote Series with Alex Luedtke from the University of Washington.


Link to A Novel Statistical Approach to Analyze Image Classification

Colloquium  •  29.01.2025  •  LMU Department of Statistics and via zoom

A Novel Statistical Approach to Analyze Image Classification

29.01.25, 4-6 pm: LMU Statistics Colloquium with Sophie Langer (U Twente) on faster, structured CNN-based image classification.