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07/11/2023
Intrinsically motivated graph exploration using network theories of human curiosity
Intrinsically motivated exploration has proven useful for reinforcement ...
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07/10/2023
Information decomposition to identify relevant variation in complex systems with machine learning
One of the fundamental steps toward understanding a complex system is id...
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11/30/2022
Interpretability with full complexity by constraining feature information
Interpretability is a pressing issue for machine learning. Common approa...
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10/25/2022
Characterizing information loss in a chaotic double pendulum with the Information Bottleneck
A hallmark of chaotic dynamics is the loss of information with time. Alt...
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04/15/2022
The Distributed Information Bottleneck reveals the explanatory structure of complex systems
The fruits of science are relationships made comprehensible, often by wa...
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03/04/2021
