





The ELLIS Unit Madrid is a partnership made up of professors and researchers in machine learning from the six public universities in Madrid: Universidad Autónoma de Madrid (founded in 1968), Universidad Carlos III de Madrid (1989), Universidad Complutense de Madrid (1822), Universidad de Alcalá (1499), Universidad Politécnica de Madrid (1971) and Universidad Rey Juan Carlos (1996). The focus of the unit is to develop ground-breaking interpretable probability-based causal machine learning methods for dynamic scenarios and cross-cutting quantum technologies for intelligent systems. Successful application areas include biometrics, computer vision, healthcare, renewable energy, climate, robotics and intelligent vehicles.
Latest news from ELLIS Unit Madrid

ELLIS PhD Program: Call for applications 2023
The ELLIS PhD Program will be accepting applications in the fall of 2023. The application portal will open in October.

Pedro Larrañaga is admitted as Member of the JAKIUNDE
Dr. Pedro Larrañaga in the recent Ceremony of Admission as Member of the JAKIUNDE / ACADEMY OF SCIENCES, ARTS AND LETTERS of the Basque Country in Spain.

Graph Signal Processing Workshop 2023
Co-organized by 4 ELLIS members and supported by the ELLIS units of Lausanne and Madrid. 6th Edition of the Graph Signal Processing Workshop will be held June 12-14 in Oxford, UK as an in-person event.

¡¡Felicidades al Doctor Carlos Estaban Puerto Santana!!
No todos los días se leen tesis donde el doctorando consigue tantas publicaciones de alto nivel: IEEE PAMI, IEEE Internet of Things, IEEETransactions on Neurral Networks and Learning Systems.

16th Machine Learning and Advanced Statistics Summer School (formerly ASDM) 2023
A worldwide top 10 Maths & Stats summer school according to INOMICS (in 2015-2017), open to any student or professional.

eXplainable AI in Healthcare 2023 (XAI-Healthcare)
Third International Workshop on eXplainable Artificial Intelligence in Healthcare. 1-day workshop June 15, 2023 in conjunction with AIME 2023, Portoroz, Slovenia.
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