Maximilan Koschade presents his Semester thesis on "Polynomial Chaos Expansion and Active Bayesian Machine Learning for Uncertainty Quantification in the Context of Stochastic Partial Differential Equations"
Abstract:
We first introduce the basics of both intrusive and non-intrusive Polynomial…
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Maximilian Soepper presents his Bachelor's thesis on "Analysis of Optimization Algorithms in the Presence of Noisy Gradients for the Identification of Model Parameters of Multiscale Simulations"
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Prof. Koutsourelakis gave an invited talk on "Machine Learning meets Physical Modeling" during the workshop on "Exposome and Big Data on Geospatial Exposure and Health" that took place in Zeist, The Netherland in January 7 & 8, 2016.
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Prof. Koutsourelakis gives an invited talk on "Predictive Coarse-Graining" (joint work with M. Schoeberl and N.Zabaras) during the International Symposium on "Predictive Multiscale Materials Modelling" that took place in the Isaac Newton Institute, between Dec. 1st and 4th 2015. Videos and slides…
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An article by P.-S. Koutsourelakis, N. Zabaras & M. Girolami has appeared in the latest issue of SIAM news and can be found here:
http://sinews.siam.org/DetailsPage/tabid/607/ArticleID/566/Symposium-Yields-Insights-on-Big-Data-and-Predictive-Computational-Modeling.aspx
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Videos and Slides from presentations given during "Big Data and Predictive Computational Modeling" 18-21 May 2015, IAS-TUM, Munich can be found at:
http://www.tum-ias.de/bigdata2015/program.html
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