59 citations · 275 across the 37 of their papers we have counts for
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Quantifying Consistency and Information Loss for Causal Abstraction Learning
Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas
Structural causal models provide a formalism to express causal relations between variables of interest. Models and variables can represent a system at different levels of abstracti…
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions
Fabio Massimo Zennaro, Máté Drávucz, Geanina Apachitei +2
An abstraction can be used to relate two structural causal models representing the same system at different levels of resolution. Learning abstractions which guarantee consistency…
Towards Computing an Optimal Abstraction for Structural Causal Models
Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas
Working with causal models at different levels of abstraction is an important feature of science. Existing work has already considered the problem of expressing formally the relati…