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Rui Seabra

2 accepted papers

2024

Inferring the Graph of Networked Dynamical Systems under Partial Observability and Spatially Colored Noise

ICASSP 2024accepted

In a Networked Dynamical System (NDS), each node is a system whose dynamics are coupled with the dynamics of neighboring nodes. The global dynamics naturally builds on this network of couplings and it is often excited by a noise input with nontrivial structure. The underlying network is unknown in m…

Cited by 0SourceScholar
2024

Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise

AAAI 2024technical

This paper considers learning the hidden causal network of a linear networked dynamical system (NDS) from the time series data at some of its nodes -- partial observability. The dynamics of the NDS are driven by colored noise that generates spurious associations across pairs of nodes, rendering the…