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Exploring the local landscape in the triangle network
Characterizing the set of distributions that can be realized in the triangle network is a
notoriously difficult problem. In this work, we investigate inner approximations of the set of …
notoriously difficult problem. In this work, we investigate inner approximations of the set of …
Symmetric observations without symmetric causal explanations
Inferring causal models from observed correlations is a challenging task, crucial to many
areas of science. In order to alleviate the effort, it is important to know whether symmetries in …
areas of science. In order to alleviate the effort, it is important to know whether symmetries in …
Bell nonlocality and causal networks
EC Boghiu Crihan - 2024 - upcommons.upc.edu
(English) Understanding the cause and effect relationships behind observed correlations is
central to how we reason and interact with the world. Causal relationships help us make …
central to how we reason and interact with the world. Causal relationships help us make …