Pedro Larrañaga

Piecewise forecasting of nonlinear time series with model tree dynamic Bayesian networks

2022 · International Journal of Intelligent Systems

When modelling multivariate continuous time series, a common issue is to find that the original processes that generated the data are nonlinear or that they drift away from the original distribution as the system evolves …

Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search

2024 · EPJ Quantum Technology

Abstract Quantum architecture search (QAS) involves optimizing both the quantum parametric circuit configuration but also its parameters for a variational quantum algorithm. Thus, the problem is known to be multi-level as the performance of a …