2 papers
astro-ph.IM2025
Addressing prior dependence in hierarchical Bayesian modeling for PTA data analysis I: Methodology and implementation
Luigi D'amico, Eleonora Villa, Fatima Modica Bittordo +4
Complex inference tasks, such as those encountered in Pulsar Timing Array (PTA) data analysis, rely on Bayesian frameworks. The high-dimensional parameter space and the strong inte…
cs.LG2025
Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models
Luigi D'Amico, Daniel De Rosso, Ninad Dixit +6
In the rapidly evolving domain of financial technology, the detection of illicit transactions within blockchain networks remains a critical challenge, necessitating robust and inno…