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TDOA-based localization under uniform prior knowledge: Performance bounds and its efficient calculation

Sobron, I.; Mazuelas, S.; Landa, I.; Eizmendi, I.; Vélez, M. (2025-01-01)

The emergence of a myriad of location-based services has imposed a key role on wireless localization systems. The accuracy of such systems can be enhanced by using prior information on the target location area, commonly avai...

Adaptive Deep Fourier Residual method via overlapping domain decomposition

Taylor, J.M.; Bastidas, M.; Calo, V. M.; Pardo, D. (2024-07-01)

The Deep Fourier Residual (DFR) method is a specific type of variational physics-informed neural network (VPINN). It provides a robust neural network-based solution to partial differential equations (PDEs). The DFR strategy ...

Supervised Learning with Evolving Tasks and Performance Guarantees

Álvarez, V.; Mazuelas, S.; Lozano, J.A. (2025-01-09)

Multiple supervised learning scenarios are composed by a sequence of classification tasks. For instance, multi-task learning and continual learning aim to learn a sequence of tasks that is either fixed or grows over time. Ex...

Topology of Empirical Models

Imtiyaz, S.; Rodrigues, S. (2025-01-14)

Abramsky and Branderburger put forth a sheaf based interpretation of non-locality and contextuality as obstructions in inter-knitting local sections together to form a compatible global section. The synergistic interaction o...