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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Opis bibliograficzny

Główni autorzy:	Aruna Jammalamadaka, Lingyi Zhang, Joseph Comer, Sasha Strelnikoff, Ryan Mustari, Tsai-Ching Lu, Rajan Bhattacharyya
Format:	Artigo
Język:	Inglês
Wydane:	LibraryPress@UF 2023-05-01
Seria:	Proceedings of the International Florida Artificial Intelligence Research Society Conference
Hasła przedmiotowe:	causal representation learning explainable artificial intelligence semi-supervised learning
Dostęp online:	https://journals.flvc.org/FLAIRS/article/view/133229
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