2 citations · 7 across the 13 of their papers we have counts for
4 papers · 1 filter
Interpretability with full complexity by constraining feature information
Kieran A. Murphy, Dani S. Bassett
Interpretability is a pressing issue for machine learning. Common approaches to interpretable machine learning constrain interactions between features of the input, rendering the e…
Characterizing information loss in a chaotic double pendulum with the Information Bottleneck
Kieran A. Murphy, Dani S. Bassett
A hallmark of chaotic dynamics is the loss of information with time. Although information loss is often expressed through a connection to Lyapunov exponents -- valid in the limit o…
Learning Dynamic Graphs, Too Slow
Andrei A. Klishin, Nicolas H. Christianson, Cynthia S. Q. Siew +1
The structure of knowledge is commonly described as a network of key concepts and semantic relations between them. A learner of a particular domain can discover this network by nav…
Synchronization of coupled Kuramoto oscillators competing for resources
Keith A. Kroma-Wiley, Peter J. Mucha, Dani S. Bassett
Populations of oscillators are present throughout nature. Very often synchronization is observed in such populations if they are allowed to interact. A paradigmatic model for the s…