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X-ORIGINAL-URL:https://www.tecosa.center.kth.se
X-WR-CALDESC:Events for TECoSA
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DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230522
DTEND;VALUE=DATE:20230525
DTSTAMP:20230224T105523Z
CREATED:20230224T105335Z
LAST-MODIFIED:20230224T105523Z
UID:5704-1684713600-1684972799@www.tecosa.center.kth.se
SUMMARY:Nordic Systems Engineering Tour\, Spring 2023
DESCRIPTION:Organised by the 5 Nordic Chapters of INCOSE – Norway\, Denmark\, Sweden\, Finland and Germany.\nThe  programme is being developed and will be published at \nhttps://www.nordic-systems-engineering-tour.com/
URL:https://www.tecosa.center.kth.se/event/nordic-systems-engineering-tour-spring-2023/
CATEGORIES:Talks
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230526T120000
DTEND;TZID=UTC:20230526T130000
DTSTAMP:20230517T104219Z
CREATED:20230517T104219Z
LAST-MODIFIED:20230517T104219Z
UID:6471-1685102400-1685106000@www.tecosa.center.kth.se
SUMMARY:TECoSA Research Seminar: Efficient Monte Carlo Inference for Probabilistic Programming Languages
DESCRIPTION:Speaker:  Daniel Lundén\, TECoSA postdoc\nLocation: Gustaf Dahlander (floor 3\, Teknikringen 31\, KTH Campus)\nZoom link and sign-up link circulated to members\nPlease email vickid@kth.se if you have any questions. \nABSTRACT: Probabilistic programming languages (PPLs) allow users to express statistical inference problems that the PPL implementation then\, ideally\, solves automatically. In particular\, PPL users can focus on encoding their inference problems\, and need not concern themselves with the intricacies of inference. In the last decade\, PPL-related research have seen a dramatic increase\, with applications in research fields such as evolutionary biology\, epidemiology\, cognitive science\, motion forecasting\, computer vision\, database cleaning\, and inverse graphics. \nIn this seminar\, Daniel will give an introduction to PPLs\, their applications\, and my research. His research focuses on efficient implementations of Monte Carlo inference algorithms as part of PPL compilers\, with a particular interest in programming language theory\, compilers\, and static program analysis. \nYou can read more about Daniel’s research at: https://dlunde.github.io/
URL:https://www.tecosa.center.kth.se/event/tecosa-research-seminar-efficient-monte-carlo-inference-for-probabilistic-programming-languages/
CATEGORIES:Talks
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