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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.

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Link to The Mathematical Universe behind Deep Neural Networks

 

Munich AI Lectures  •  25.11.2024  •  Große Aula der LMU Geschwister-Scholl-Platz 1, Room 120 80539 München

The Mathematical Universe behind Deep Neural Networks

Join us on Nov 25 for Prof. Helmut Bölcskei’s lecture on the mathematical foundations driving deep neural networks, hosted by Bavarian AI at LMU.