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PhD Dissertation Defense - Kyle Reing
Thu, Dec 05, 2024 @ 12:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Tractable Information Decompositions
Date and Time: Thursday, December 5th - 12:00p - 2:00p
Location: SGM 226
Committee Members: Aram Galstyan, Greg Ver Steeg, Laurent Itti, Aiichiro Nakano, Antonio Ortega
Abstract: The study of Information Decomposition attempts to represent the functional relationships of a system in a way that makes them transparent and interpretable. While these theoretically grounded measures excel in their descriptive capabilities, they lack computationally feasible implementations, rendering them unusable for practical application and discovery. This dissertation details a collection of work aimed towards computationally tractable approaches to information decomposition which are still theoretically sound. A number of new algorithmic approaches are proposed, studied, and implemented, with numerous applications of these methods to problems in neural network interpretability.Location: Seeley G. Mudd Building (SGM) - 226
Audiences: Everyone Is Invited
Contact: Kyle Reing
