4 citations · 7 across the 7 of their papers we have counts for
9 papers
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Luis M. Lopez-Ramos, Florian Leiser, Aditya Rastogi +6
The joint implementation of federated learning (FL) and explainable artificial intelligence (XAI) could allow training models from distributed data and explaining their inner worki…
Efficient Interpretable Nonlinear Modeling for Multiple Time Series
Kevin Roy, Luis Miguel Lopez-Ramos, Baltasar Beferull-Lozano
Predictive linear and nonlinear models based on kernel machines or deep neural networks have been used to discover dependencies among time series. This paper proposes an efficient…
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…
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…
Two-Timescale Stochastic Dispatch of Smart Distribution Grids
Luis M. Lopez-Ramos, Vassilis Kekatos, Antonio G. Marques +1
Smart distribution grids should efficiently integrate stochastic renewable resources while effecting voltage regulation. The design of energy management schemes is challenging, one…
Jointly Optimal Sensing and Resource Allocation for Multiuser Overlay Cognitive Radios
Luis M. Lopez-Ramos, Antonio G. Marques, Javier Ramos
Successful deployment of cognitive radios requires efficient sensing of the spectrum and dynamic adaptation of the available resources according to the sensed (imperfect) informati…