7 citations · 13 across the 22 of their papers we have counts for
4 papers · 1 filter
Learning Time-Varying Graph Signals via Koopman
Sivaram Krishnan, Jinho Choi, Jihong Park
A wide variety of real-world data, such as sea measurements, e.g., temperatures collected by distributed sensors and multiple unmanned aerial vehicles (UAV) trajectories, can be na…
Koopman-based Prediction of Connectivity for Flying Ad Hoc Networks
Sivaram Krishnan, Jinho Choi, Jihong Park +2
The application of machine learning (ML) to communication systems is expected to play a pivotal role in future artificial intelligence (AI)-based next-generation wireless networks.…
Predictive Covert Communication Against Multi-UAV Surveillance Using Graph Koopman Autoencoder
Sivaram Krishnan, Jihong Park, Gregory Sherman +2
Low Probability of Detection (LPD) communication aims to obscure the presence of radio frequency (RF) signals to evade surveillance. In the context of mobile surveillance utilizing…
Koopman AutoEncoder via Singular Value Decomposition for Data-Driven Long-Term Prediction
Jinho Choi, Sivaram Krishnan, Jihong Park
The Koopman autoencoder, a data-driven technique, has gained traction for modeling nonlinear dynamics using deep learning methods in recent years. Given the linear characteristics…