← Search

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 0Source ↗Scholar ↗
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…