116 citations · 193 across the 15 of their papers we have counts for
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physics.data-an2017★ 20 cited
An Emergent Space for Distributed Data with Hidden Internal Order through Manifold Learning
Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich +7
Manifold-learning techniques are routinely used in mining complex spatiotemporal data to extract useful, parsimonious data representations/parametrizations; these are, in turn, use…
nlin.CD2017
Coarse-Grained Descriptions of Dynamics for Networks with both Intrinsic and Structural Heterogeneities
Tom Bertalan, Yan Wu, Carlo Laing +2
Finding accurate reduced descriptions for large, complex, dynamically evolving networks is a crucial enabler to their simulation, analysis, and, ultimately, design. Here we propose…