Uncertainty and causal emergence in complex networks. - Brennan Klein; Erik Hoel (CoRR, 2019)

Finding the right scale of a network: Efficient identification of causal emergence through spectral clustering. - Ross Griebenow; Brennan Klein; Erik Hoel (CoRR, 2019)

The Emergence of Informative Higher Scales in Complex Networks. - Brennan Klein; Erik Hoel (Complex., 2020)

Examining the causal structures of deep neural networks using information theory. - Simon Mattsson; Eric J. Michaud; Erik Hoel (CoRR, 2020)

Examining the Causal Structures of Deep Neural Networks Using Information Theory. - Scythia Marrow; Eric J. Michaud; Erik Hoel (Entropy, 2020)

Attribute Propagation for Utilities. - Dev Oliver; Petko Bakalov; Sangho Kim 001; Erik Hoel (SSTD, 2021)

Emergence as the conversion of information: A unifying theory. - Thomas Varley; Erik Hoel (CoRR, 2021)

Causal Geometry. - Pavel Chvykov; Erik Hoel (Entropy, 2021)

The overfitted brain: Dreams evolved to assist generalization. - Erik Hoel (Patterns, 2021)

Causal emergence is widespread across measures of causation. - Renzo Comolatti; Erik Hoel (CoRR, 2022)

Causal Emergence 2.0: Quantifying emergent complexity. - Erik Hoel (CoRR, 2025)