Antonio Álvarez López
Email • MsC in Advanced Mathematics, UCM
Control Theory, Machine Learning
PhD Student
Supervisors: Enrique Zuazua, Rafael Orive Illera
Room 03.365 | FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship
Friedrich-Alexander-Universität Erlangen-Nürnberg
Naturwissenschaftliche Fakultät. Department Mathematik
Hi! My name is Antonio Álvarez López.
I am a PhD student at Universidad Autónoma de Madrid on Control Theory and Machine Learning, under the supervision of Prof. Enrique Zuazua and Prof. Rafael Orive.
I studied a double degree in Mathematics and Physics at Universidad de Santiago de Compostela, in my hometown, between 2016 and 2021.
I spent the 2019/2020 academic course at Universidad de Granada as an exchange student.
I got my Master’s degree in Advanced Mathematics at Universidad Complutense de Madrid for the 2021/2022 academic year with a focus on PDEs, Calculus of Variations and Control Theory.
I worked during this year on Fluid Mechanics and MHD under the supervision of Prof. Alberto Enciso Carrasco.
Throughout my career, I have enjoyed studying different areas of Mathematics, but my personal goal now is expertising on Control Theory and Machine Learning, disciplines that I find exciting and which appear to show many promising lines of research at their interface.
• Master Thesis: El problema de Parker en Magnetohidrodinámica y aplicaciones de transición para campos force-free (July 2022)
See more: News
Research interests
My research interests include
• Control Theory,
• Machine Learning
Projects
• CoDeFeL. Control for Deep and Federated Learning (2024 – now)
Posts on Math & Research
Breaking the curse of dimensionality with Barron spaces
Authors: Antonio Álvarez-lópez
Date: December 14, 2022
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News / Initiatives
CIN-PDE 2024. Controllability of Neural Odes for Classification
Authors: Antonio Álvarez lópez, Enrique Zuazua
Date: October 7 – 10, 2024
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Controllability of Neural ODEs for Classification
Authors: Antonio Álvarez López, Enrique Zuazua
Date: October 1, 2024
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Breaking the curse of dimensionality with Barron Spaces
Authors: Antonio Álvarez López
Date: November 14, 2022
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