4 papers
Deterministic Mapping of Topological Phases via Autoregressive Exogenous Neural Networks
Graciana Puentes
We report a comparative analysis of three dynamic neural network (NN) architectures -- NAR, NARX, and NIO -- to evaluate their efficiency in estimating the critical-measurement-str…
A performance evaluation of integrating machine learning schemes utilizing fluidic lenses
Graciana Puentes
A combination of statistical inference and machine learning (ML) schemes has been utilized to create a thorough understanding of coarse experimental data based on Zernike variables…
Comparison between neural network clustering, hierarchical clustering and k-means clustering: Applications using fluidic lenses
Graciana Puentes
A comparison between neural network clustering (NNC), hierarchical clustering (HC) and K-means clustering (KMC) is performed to evaluate the computational superiority of these thre…
Topological weak-measurement-induced geometric phases revisited
Graciana Puentes
We present an analytical and numerical study of a class of geometric phase induced by weak measurements. In particular, we analyze the dependence of the geometric phase on the wind…