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On learning what to learn: Heterogeneous observations of dynamics and establishing possibly causal relations among them.

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第一作者： David W,Sroczynski

第一单位： Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.

作者： David W,Sroczynski ^[1] ; Felix,Dietrich ^[2] ; Eleni D,Koronaki ^[3] ; Ronen,Talmon ^[4] ; Ronald R,Coifman ^[5] ; Erik,Bollt ^[6] ; Ioannis G,Kevrekidis ^[7]

作者单位： Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA. ^[1] School of Computation, Information and Technology, Technical University of Munich, 80333 Munich, Germany. ^[2] Faculty of Science, Technology and Medicine, University of Luxembourg, 1350 Kirchberg, Luxembourg. ^[3] Viterbi Faculty of Electrical Engineering, Technion, Israel Institute of Technology, Haifa 3200003, Israel. ^[4] School of Engineering & Applied Science, Yale University, New Haven, CT 06511, USA. ^[5] Electrical & Computer Engineering, Clarkson University, Potsdam, NY 13699, USA. ^[6] Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.;Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218, USA.;Department of Urology, Johns Hopkins University, Baltimore, MD 21218, USA. ^[7]

关键词 causality common variables heterogeneous observations identifiability learning inputs

DOI 10.1093/pnasnexus/pgae494

PMID 39660076

发布时间 2024-12-12

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On learning what to learn: Heterogeneous observations of dynamics and establishing possibly causal relations among them.

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