3 papers
eess.SP2024
Topological Signal Processing and Learning: Recent Advances and Future Challenges
Elvin Isufi, Geert Leus, Baltasar Beferull-Lozano +2
Developing methods to process irregularly structured data is crucial in applications like gene-regulatory, brain, power, and socioeconomic networks. Graphs have been the go-to alge…
cs.LG2023
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…
cs.LG2023
An Online Multiple Kernel Parallelizable Learning Scheme
Emilio Ruiz-Moreno, Baltasar Beferull-Lozano
The performance of reproducing kernel Hilbert space-based methods is known to be sensitive to the choice of the reproducing kernel. Choosing an adequate reproducing kernel can be c…