EECI-IGSC 2024: Control and Machine Learning

EECI-IGSC 2024: Control and Machine Learning

Next year, Prof. Enrique Zuazua (FAU, 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…
IMS 2023 Control and Machine Learning

IMS 2023 Control and Machine Learning

On December 24, 2023 Prof. Enrique Zuazua will talk on “Control and Machine Learning” (S3-1) at the Symposium Controllability and Differential Equations of the 89th Annual Conference of Indian Mathematical…
Contrôle et apprentissage automatique

Contrôle et apprentissage automatique

On February 15, 2024 Prof. Enrique Zuazua will talk on Contrôle et apprentissage automatique an event organized by the Adria Business & Technology and the moroccan association Math & Maroc.…

Trends in Mathematical and Data Sciences

From June 16 - 20, 2025, our FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg is co-hosting with the Universidade Federal Fluminense the "Trends in Mathematical…
Course: Scalar Conservation Laws

Course: Scalar Conservation Laws

Course: Scalar Conservation Laws Lecturers: Enrique Zuazua, , Nicola De Nitti Period: 2022/2023 summer semester Date: April - July 2023 Location: FAU. Master's Degree in Computational and Applied Mathematics ECTS:…
Course: Transport Phenomena

Course: Transport Phenomena

Course: Transport Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 winter semester Date: October 2022 - March 2023 Location: FAU. Master's Degree in Computational and Applied Mathematics ECTS: 10…
Contrôle et apprentissage automatique

Contrôle et apprentissage automatique

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…
Course: Transport Phenomena

Course: Transport Phenomena

Course: Transport Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2021/2022 winter semester Date: October 2021 - March 2022 Location: FAU. Master's Degree in Computational and Applied Mathematics ECTS: 10
Opening the black box of Deep Learning

Opening the black box of Deep Learning

Opening the black box of Deep Learning Sergi Andreu, DeustoCCM Deep Learning is one of the three main paradigms of Machine Learning, and roughly consists on extracting patterns from data…