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Erik Hoel
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2020 – today
- 2022
- [i6]Renzo Comolatti, Erik Hoel:
Causal emergence is widespread across measures of causation. CoRR abs/2202.01854 (2022) - 2021
- [j4]Pavel Chvykov
, Erik Hoel:
Causal Geometry. Entropy 23(1): 24 (2021) - [j3]Erik Hoel
The overfitted brain: Dreams evolved to assist generalization. Patterns 2(5): 100244 (2021) - [c1]Dev Oliver, Petko Bakalov, Sangho Kim, Erik Hoel:
Attribute Propagation for Utilities. SSTD 2021: 141-151 - [e1]Erik Hoel, Dev Oliver, Raymond Chi-Wing Wong, Ahmed Eldawy:
Proceedings of the 17th International Symposium on Spatial and Temporal Databases, SSTD 2021, Virtual Event, USA, August 23-25, 2021. ACM 2021, ISBN 978-1-4503-8425-4 [contents] - [i5]Thomas Varley, Erik Hoel:
Emergence as the conversion of information: A unifying theory. CoRR abs/2104.13368 (2021) - 2020
- [j2]Brennan Klein
The Emergence of Informative Higher Scales in Complex Networks. Complex. 2020: 8932526:1-8932526:12 (2020) - [j1]Scythia Marrow
Examining the Causal Structures of Deep Neural Networks Using Information Theory. Entropy 22(12): 1429 (2020) - [i4]Pavel Chvykov, Erik Hoel:
Causal Geometry. CoRR abs/2010.09390 (2020) - [i3]Simon Mattsson, Eric J. Michaud, Erik Hoel:
Examining the causal structures of deep neural networks using information theory. CoRR abs/2010.13871 (2020)
2010 – 2019
- 2019
- [i2]Brennan Klein
Uncertainty and causal emergence in complex networks. CoRR abs/1907.03902 (2019) - [i1]Ross Griebenow, Brennan Klein, Erik Hoel:
Finding the right scale of a network: Efficient identification of causal emergence through spectral clustering. CoRR abs/1908.07565 (2019)
Coauthor Index
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