7 citations · 14 across the 15 of their papers we have counts for
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cs.LG2023
Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck
Kieran A. Murphy, Dani S. Bassett
Deterministic chaos permits a precise notion of a "perfect measurement" as one that, when obtained repeatedly, captures all of the information created by the system's evolution wit…
cs.LG2023★ 1 cited
Intrinsically motivated graph exploration using network theories of human curiosity
Shubhankar P. Patankar, Mathieu Ouellet, Juan Cervino +3
Intrinsically motivated exploration has proven useful for reinforcement learning, even without additional extrinsic rewards. When the environment is naturally represented as a grap…
cs.LG2023
Information decomposition in complex systems via machine learning
Kieran A. Murphy, Dani S. Bassett
One of the fundamental steps toward understanding a complex system is identifying variation at the scale of the system's components that is most relevant to behavior on a macroscop…