5 citations · 5 across the 3 of their papers we have counts for
3 papers
AI Receptivity or AI Adoption Breadth? A Tool-Specific Reanalysis of the Lower-Literacy/Higher-Usage Link
Hristo Inouzhe
Recent evidence reported by Tully, Longoni, and Appel (2025) suggests that lower artificial intelligence (AI) literacy predicts greater receptivity toward AI. We revisit this claim…
Compartmental Disease Models with Time-Varying Transmission Rates: A Bayesian Generalized Hamiltonian Monte Carlo framework with Applications to COVID-19
Hristo Inouzhe, MarÃa Xosé RodrÃguez-Ãlvarez, Lorenzo Nagar +1
Epidemic transmission is shaped by changing behaviour, interventions, and unobserved factors, while incidence data are noisy and incomplete. We develop a Bayesian statistical-mecha…
Adaptive tuning of Hamiltonian Monte Carlo methods
Elena Akhmatskaya, Lorenzo Nagar, Jose Antonio Carrillo +4
With the recently increased interest in probabilistic models, the efficiency of an underlying sampler becomes a crucial consideration. Hamiltonian Monte Carlo (HMC) is one popular…