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X-WR-CALDESC:FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship
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DTSTART;TZID=Europe/Berlin:20220112T103000
DTEND;TZID=Europe/Berlin:20220114T180000
DTSTAMP:20211216T172603Z
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SUMMARY:ACMAM 2022: Control and Machine Learning by E. Zuazua
DESCRIPTION:On January 2022 our Head Enrique Zuazua will talk as keynote speaker on “Control and Machine Learning” at the ACMAM 2022 on “Mathematics for Machine Learning” from January 12nd to January 14th, 2022 onsite/virtually workshop of the annual scientific event AIMS-Cameroon Mathematics and its Applications Meeting (ACMAM) organized by AIMS Cameroon Research Center at the AIMS Cameroon Research Center in Limbe South West Region, with the support of the BMBF – Federal Ministry of Education and Research in Germany, DAAD – Deutscher Akademischer Austauschdienst, AIMS – African Institute for Mathematical Sciences Cameroon & South Africa.\nACMAM 2022 – Day 01 – 12 January 2022\nZoom meeting link\nMeeting ID: 843 2965 9577 | PIN Code: 000677\nACMAM 2022 – Day 02 – 13 January 2022\nZoom meeting link\nMeeting ID:  827 2240 3401 | PIN Code:  931727\nACMAM 2022 – Day 03 – 14 January 2022\nZoom meeting link\nMeeting ID:   812 7195 4321 | PIN Code:  098195\nThis workshop will introduce students and early-career researchers to the current trends in Mathematics (Optimization, Optimal transport, PDEs, Calculus of variations, Mean Field Games, and Optimal control) and its Applications, specifically to the fields of Data Sciences (Machine learning, Neural Network etc.), and will lay out various research interests in the field. It also aimed to create a strong networking environment among academia, industry, and national laboratories.\n|| See official event page, complete  schedule and scientific program\nPlenary talk “Control and Machine Learning” by Enrique Zuazua\nJanuary 12th and 13th (10:30H) and January 14th (16:00H)\nAbstract. We address some of the problems arising in the modern theory of Machine Learning from a control theoretical perspective. We will mainly focus on the use of control techniques for the analysis of Deep Neural Networks as a tool to address, for instance, the problem of Supervised Learning. We shall also discuss numerical implementation issues and formulate some interesting open problems.\nKeynote Speakers\n-Harbir Antil (CMAI-George Mason University, USA)\n-Alessio Figalli      (ETH, Zurich)\n–Enrique Zuazua (FAU, Germany)\n-Gabriel Peyré (CNRS and Ecole Normale Supérieure, France )\n-Marco Cuturi (Google Brain / CREST-ENSAE)\n-Quentin Merigot (Université Paris-Saclay)\nGuest Speakers\n-Mahamadi Warma (CMAI-George Mason University, USA)\n-Franca Hoffmann  (Aims-Rwanda, Rwanda)\n-Marc Sedjro (Aims-South Africa, South Africa)\n-Ralph Chill (Technische Universität Dresden, Germany)\n-Olivier Menoukeu Pamen (University of Liverpool, UK)\n-Mouhamed Moustapha Fall  (AIMS-Senegal, Senegal)\nWHEN?\nEnrique Zuazua’s talks:\n-Wed. January 12th, 2022 at 10:30H\n-Thu. January 13th, 2022 at 10:30H\n-Fri. January 14th, 2022 at 16:00H\nACMAM event: Wed. January 12 to Fri. January 14, 2022\nWHERE?\nOn site/online | See official event page\nTarget Audience\nResearchers, Postdocs, PhDs and Master’s students\n\n|| See official event page, complete  schedule and scientific program\n
URL:https://dcn.nat.fau.eu/events/acmam-2022-control-and-machine-learning-by-e-zuazua/
CATEGORIES:EZuazua,Seminar/Talk,Workshop
ATTACH;FMTTYPE=image/png:https://dcn.nat.fau.eu/wp-content/uploads/acmam2022-EZuazua-12-13-14jan2022.png
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