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.…
ACOMEN2025

ACOMEN2025

Next Fall on September 15 – 19, 2025 there is the 9th. international conference on “Advanced COmputational Methods in ENgineering and Applied Mathematics” (ACOMEN2025) in Ghent, Belgium. The conference aims…
DyCMaMod

DyCMaMod

DyCMaMod. Dinámica y control para el aprendizaje automático y la Modelización Project reference. PID2023-146872OB-I00 Funded by: MINECO. Ministerio de Economía, Comercio y Empresa Principal Investigator (PI): Prof. Enrique Zuazua, Prof.…
CoDeFeL. Control for Deep and Federated Learning

CoDeFeL. Control for Deep and Federated Learning

CoDeFeL: Control for Deep and Federated Learning ERC Advanced Grant 2022. Control for Deep and Federated Learning (CoDeFeL) Principal Investigator (PI): Prof. Enrique Zuazua Host Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU, Germany)…

Constrained control of gene-flow models

I. Mazari, D. Ruiz-Balet, E. Zuazua (2023)Constrained control of gene-flow models, Ann. Inst. Henri Poincare (C) Anal. Non Lineaire ⟨hal-02373668⟩ Abstract. In ecology and population dynamics, gene-flow refers to the transfer…