research
∙
07/11/2023
Intrinsically motivated graph exploration using network theories of human curiosity
Intrinsically motivated exploration has proven useful for reinforcement ...
share
research
∙
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...
research
∙
11/30/2022
Interpretability with full complexity by constraining feature information
Interpretability is a pressing issue for machine learning. Common approa...
research
∙
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...
research
∙
04/26/2022
Modeling observed gender imbalances in academic citation practices
In multiple academic disciplines, having a perceived gender of `woman' i...
research
∙
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...
research
∙
12/16/2021
Citation inequity and gendered citation practices in contemporary physics
The historical and contemporary under-attribution of women's contributio...
research
∙
10/16/2021