1 citations · 1 across the 6 of their papers we have counts for
11 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…
Online Non-linear Topology Identification from Graph-connected Time Series
Rohan Money, Joshin Krishnan, Baltasar Beferull-Lozano
Estimating the unknown causal dependencies among graph-connected time series plays an important role in many applications, such as sensor network analysis, signal processing over c…
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…
Fast Decentralized Linear Functions Over Edge Fluctuating Graphs
Siavash Mollaebrahim, Baltasar Beferull-Lozano
Implementing linear transformations is a key task in the decentralized signal processing framework, which performs learning tasks on data sets distributed over multi-node networks.…
Quantization Analysis and Robust Design for Distributed Graph Filters
Leila Ben Saad, Baltasar Beferull-Lozano, Elvin Isufi
Distributed graph filters have found applications in wireless sensor networks (WSNs) to solve distributed tasks such as consensus, signal denoising, and reconstruction. However, wh…
Accurate Graph Filtering in Wireless Sensor Networks
Leila Ben Saad, Baltasar Beferull-Lozano
Wireless sensor networks (WSNs) are considered as a major technology enabling the Internet of Things (IoT) paradigm. The recent emerging Graph Signal Processing field can also cont…