4 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
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 Joint Topology Identification and Signal Estimation from Streams with Missing Data
Bakht Zaman, Luis Miguel Lopez Ramos, Baltasar Beferull-Lozano
Identifying the topology underlying a set of time series is useful for tasks such as prediction, denoising, and data completion. Vector autoregressive (VAR) model-based topologies…
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…