Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data

Rigorous theory of causal emegence based on information decomposition.

An operational information decomposition via synergistic disclosure

Information decomposition based on an operational definition of synergy.

Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles

Connections between information theory, supervised learning, and privacy

Beyond integrated information: A taxonomy of information dynamics phenomena

The love baby of IIT and PID: ΦID.

Quantifying high-order interdependencies via multivariate extensions of the mutual information

Shannon-style measure of high-order effects for high-dimensional data.