Next year, our Head Prof. Enrique Zuazua (Friedrich-Alexander-Universität, Erlangen-Nürnberg) joint with Prof. Martin Lazar (University of Dubrovnik) will talk on “Control and Machine Learning” (M18 DUBROVNIK module) on July 1-5, 2024 at the IEECI-IGSC 2024: International Graduate School on Control 2024 organized by EECI – European Embedded Control Institute and […]
Machine Learning
5 posts
Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs) Introduction Accurate and fast predictions of numerical solutions are of significant interest in many areas of science and industry. On one hand, most theoretical methods used in the industry are the result of deriving differential equations that are […]
Date: March 10, 2022 (4 weeks) Organized by: Institut Élie Cartan de Lorraine Cycle “Science and Society” Title: Contrôle et apprentissage automatique (Control and Machine Learning) Speaker: Prof. Dr. Enrique Zuazua Affiliation: Affiliation: FAU DCN-AvH, Chair for Dynamics Control and Numerics – Alexander von Humboldt Prof., Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Abstract. La […]
This year, our Head Prof. Enrique Zuazua (Friedrich-Alexander-Universität, Erlangen-Nürnberg) joint with Prof. Xiaoming Yuan (University of Hong Kong) will be talking (M20 – Hong Kong module) about “Machine Learning, Optimization and Control” on June 27th. – July 1st., 2022 at the IEECI-IGSC 2022: International Graduate School on Control 2022 organized […]
Opening the black box of Deep Learning By Sergi Andreu Deep Learning is one of the three main paradigms of Machine Learning, and roughly consists on extracting patterns from data using neural networks. Its impact in modern technologies is huge. However, there is not a clear high-level description of what […]