3 papers
cs.LG2026
A Longitudinal Attribute-Conditioned Neural Network for Modeling Health-State Transition Probabilities in Temporally Irregular Data: The LANTERN Framework
Bright Kwaku Manu, Beckett Sterner, Petar Jevtic
Accurate estimation of long-term care transition probabilities is central to disability insurance pricing, reserving, and solvency assessment. Classical actuarial multi-state model…
cs.LG2025
A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models
Bright Kwaku Manu, Trevor Reckell, Beckett Sterner +1
Stochastic Petri Nets (SPNs) are an increasingly popular tool of choice for modeling discrete-event dynamics in areas such as epidemiology and systems biology, yet their parameter…
q-bio.OT2025
A Numerical Comparison of Petri Net and Ordinary Differential Equation SIR Component Models
Trevor Reckell, Bright Kwaku Manu, Beckett Sterner +2
Petri Nets are an increasingly used modeling framework for the spread of disease across populations or within an individual. For example, the Susceptible-Infectious-Recovered (SIR)…