BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv6.5.6//EN
X-ORIGINAL-URL:https://cmc.deusto.eus/
X-WR-CALNAME:cmc.deusto.eus
X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-66df243d406353d0e9db6c5dd027d2d6@cmc.deusto.eus
DTSTART:20230417T140000Z
DTEND:20230417T144500Z
DTSTAMP:20251031T213200Z
CREATED:20251031
LAST-MODIFIED:20251031
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:FernUniversität – Workshop Geometric Aspects of Evolution and Control
DESCRIPTION:On April 17, 2023 our Head Prof. Enrique Zuazua will talk on “Control and Machine Learning” at the Workshop Geometric Aspects of Evolution and Control organized on April 17-21, 2023 at the FernUniversität Hagen, Germany.\nAbstract. In this lecture we shall present some recent results on the interplay between control and Machine Learning, and more precisely, Supervised Learning and Universal Approximation.We adopt the perspective of the simultaneous or ensemble control of systems of Residual Neural Networks (ResNets). Roughly, each item to be classified corresponds to a different initial datum for the Cauchy problem of the ResNets, leading to an ensemble of solutions to be driven to the corresponding targets, associated to the labels, by means of the same control.\nWe present a genuinely nonlinear and constructive method, allowing to show that such an ambitious goal can be achieved, estimating the complexity of the control strategies. This property is rarely fulfilled by the classical dynamical systems in Mechanics and the very nonlinear nature of the activation function governing the ResNet dynamics plays a determinant role. It allows deforming half of the phase space while the other half remains invariant, a property that classical models in mechanics do not fulfill. The turnpike property is also analyzed in this context, showing that a suitable choice of the cost functional used to train the ResNet leads to more stable and robust dynamics.\nThis lecture is inspired in joint work, among others, with Borjan Geshkovski (MIT), Carlos Esteve (Cambridge), Domenec Ruiz-Balet (IC, London) and Dario Pighin (Sherpa.ai)\nWHERE\nOn-site / online\nOn-site:\nFernUni Hagen. Lecture room “Ellipse”.\nRoggenkamp 10, 58093 Hagen (Germany)\nOnline:\nZoom meeting link\nCheck the Schedule, and the book of abstracts.\nCheck the official page of the event\n
URL:https://cmc.deusto.eus/events-calendar/fernuniversitat-workshop-geometric-aspects-of-evolution-and-control/
CATEGORIES:EZuazua,Seminar/Talk,Workshop
ATTACH;FMTTYPE=image/png:https://cmc.deusto.eus/wp-content/uploads/FernUniHagen_EZuazua_17apr2023.png
END:VEVENT
END:VCALENDAR