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CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods

We study the problem of learning Granger causality between event types from asynchronous, interdependent, multi-type event sequences. Existing work suffers from either limited model flexibility or poor model explainability and thus fails to uncover Granger causality across a wide variety of event se...

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Dades bibliogràfiques
Publicat a:Proc Mach Learn Res
Autors principals: Zhang, Wei, Panum, Thomas Kobber, Jha, Somesh, Chalasani, Prasad, Page, David
Format: Artigo
Idioma:Inglês
Publicat: 2020
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7710164/
https://ncbi.nlm.nih.gov/pubmed/33274352
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