Latest news

View all

About the center

SARA project begins

On January 1, the SARA project was launched, within the framework of the TransMisiones 2024 initiative. On January 29th took place the Kick Off Meeting of the project. Aritz Pérez has participated as BCAM IP and Felipe Ponce as research team members. On January 1, the SARA project was launched,…

BCAM people

Vizda Anam will defend her thesis on Thursday, February 26th

  • The defence will take place at Salón de Grados at the Faculty of Science and Technology of the Leioa Campus and o

About the center

BCAM co-hosted the 7th RSME Young Researchers' Congress which made Bilbao the epicentre of mathematics

  • From 13 January to 17 January, 487 international young people gathered in Bilbao for this congress in which the UPV/EHU was the host institution, together with the Basque Center for Ap

About the center

Scientific Advisory Committee (SAC) Meeting at BCAM

  • These days, BCAM hosted the meeting of it's Scientific Advisory Committee (SAC), a key moment to reflect on the progress of the centre's research and its impact on society.

Latest publications

View all

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...