Semi-supervised Learning of Visual Causal Macrovariables

Discovery of causally related concepts is one of the key challenges in extracting knowledge from observational data. Lower-dimensional “causal macrovariables” represent concepts which preserve all relevant causal information in high-dimensional systems. Existing causal macrovariable discovery algori...

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Bibliographic Details
Published in:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Main Authors: Aruna Jammalamadaka, Lingyi Zhang, Joseph Comer, Sasha Strelnikoff, Ryan Mustari, Tsai-Ching Lu, Rajan Bhattacharyya
Format: Article
Language:English
Published: LibraryPress@UF 2023-05-01
Subjects:
causal representation learning
explainable artificial intelligence
semi-supervised learning
Online Access:https://journals.flvc.org/FLAIRS/article/view/133229

Internet

https://journals.flvc.org/FLAIRS/article/view/133229

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