1 citations · 1 across the 2 of their papers we have counts for
4 papers
Explainable nonlinear modelling of multiple time series with invertible neural networks
Luis Miguel Lopez-Ramos, Kevin Roy, Baltasar Beferull-Lozano
A method for nonlinear topology identification is proposed, based on the assumption that a collection of time series are generated in two steps: i) a vector autoregressive process…
Channel Gain Cartography via Mixture of Experts
Luis M. Lopez-Ramos, Yves Teganya, Baltasar Beferull-Lozano +1
In order to estimate the channel gain (CG) between the locations of an arbitrary transceiver pair across a geographic area of interest, CG maps can be constructed from spatially di…
Online Hyperparameter Search Interleaved with Proximal Parameter Updates
Luis Miguel Lopez-Ramos, Baltasar Beferull-Lozano
There is a clear need for efficient algorithms to tune hyperparameters for statistical learning schemes, since the commonly applied search methods (such as grid search with N-fold…
Dynamic network identification from non-stationary vector autoregressive time series
Luis M. Lopez-Ramos, Daniel Romero, Bakht Zaman +1
Learning the dynamics of complex systems features a large number of applications in data science. Graph-based modeling and inference underpins the most prominent family of approach…