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DTSTART:20180101T000000
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DTSTART;TZID=UTC:20190919T100000
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DTSTAMP:20260406T122448
CREATED:20190918T215721Z
LAST-MODIFIED:20190918T215721Z
UID:449-1568887200-1568894400@sal.cs.unibuc.ro
SUMMARY:Local Reasoning about Parametric and Reconfigurable Component-based Systems
DESCRIPTION:Speaker: Radu Iosif (CNRS – VERIMAG\, France) \n\nAbstract: We introduce a logical framework for the specification and verification of component-based systems\, in which finitely many component instances are active\, but the bound on their number is not known. Besides specifying and verifying parametric systems\, we consider the aspect of dynamic reconfiguration\, in which components can migrate at runtime on a physical map\, whose shape and size may change. We describe such para- metric and reconfigurable architectures using resource logics\, close in spirit to Separation Logic\, used to reason about dynamic pointer structures. These logics support the principle of local reasoning\, which is the key for writing modular specifications and building scalable verification algorithms\, that deal with large industrial-size systems. Joint work with Marius Bozga and Joseph Sifakis.
URL:https://sal.cs.unibuc.ro/event/local-reasoning-about-parametric-and-reconfigurable-component-based-systems/
LOCATION:Facultatea de Matematica si Informatica\, sala Google
CATEGORIES:Logic Seminar
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BEGIN:VEVENT
DTSTART;TZID=Europe/Bucharest:20190920T100000
DTEND;TZID=Europe/Bucharest:20190920T233000
DTSTAMP:20260406T122448
CREATED:20190917T073657Z
LAST-MODIFIED:20190918T051001Z
UID:446-1568973600-1569022200@sal.cs.unibuc.ro
SUMMARY:Optimal Transport for (Unsupervised) Machine Learning
DESCRIPTION:Speaker: Andra Băltoiu (University of Bucharest) \n\nAbstract: After attending the “Summer School on Applied Harmonic Analysis and Machine Learning” in Genova\,  Andra will give us a short introduction on Optimal Transport in the attempt of finding new prospects for the anomaly detection problem.
URL:https://sal.cs.unibuc.ro/event/anomaly-detection-reading-group-optimal-transport-for-unsupervised-machine-learning/
LOCATION:Facultatea de Matematica si Informatica\, sala Google
CATEGORIES:Security Seminar,Seminar
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