3 papers
eess.SY2020
Granger-faithfulness and link orientation in network reconstruction
Mihaela Dimovska, Donatello Materassi
Networked dynamic systems are often abstracted as directed graphs, where the observed system processes form the vertex set and directed edges are used to represent non-zero transfe…
eess.SY2020
An algorithm for reconstruction of triangle-free linear dynamic networks with verification of correctness
Mihaela Dimovska, Donatello Materassi
Reconstructing a network of dynamic systems from observational data is an active area of research. Many approaches guarantee a consistent reconstruction under the relatively strong…
cs.NE2020
Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks
Mihaela Dimovska, Travis Johnston, Catherine D. Schuman +2
Inspired by the connectivity mechanisms in the brain, neuromorphic computing architectures model Spiking Neural Networks (SNNs) in silicon. As such, neuromorphic architectures are…