An IAS Fellowship grant has been awarded to the Data Group. The co-investigators are Stefan Klus and Naratip Santitissadeekorn, with support from David Lloyd. The Fellowship grant funds a visit by Jason Bramburger (Seattle). An IAS Workshop grant has also been awarded with PI Payel Das (Physics, Surrey), with support from Masanori Hanada and David […]
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Stefan Klus has had two new papers published in the latter part of 2020. The paper “Kernel based approximation of the Koopman generator and Schrodinger operator“, co-authored with Feliks Nuske (Paderborn) and Boumediene Hamzi (Imperial College) was published in the journal Entropy, and chosen by the journal for a cover story (link here). The second […]
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The February meeting of the Edinburgh Mathematical Society is being hosted by the University of Strathclyde and held today (Friday 19 February). The principal speaker is Anne Skeldon and her talk title is “Mathematical modelling of the sleep-wake cycle: light, clocks and societal rhythms“. A link to the programme is here and the talk abstract […]
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Congratulations to Leander Wyss for passing his PhD confirmation examination. It was held on Tuesday 2nd February, and the examiners were Jan Gutowski and Andrea Prinsloo. The title of Leander’s project is “AdS3 Integrability: The Boost, the Algebra and the Representation“. His project is supervised by Alessandro Torrielli, with second supervisors Martin Wolf and Juan […]
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The paper “Construction of blocked factorial designs to estimate main effects and selected two-factor interactions“, with sole author Janet Godolphin, has been published in the Journal of the Royal Statistical Society: Series B (Statistical Methodology). The published version along with abstract can be found here. The image on the left shows an example of the […]
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The paper “Dimensionality reduction of complex metastable systems via kernel embeddings of transition manifolds“, co-authored by Andreas Bittracher (FU Berlin), Stefan Klus, Boumediene Hamzi (Imperial & AlFaisal), Péter Koltai (FU Berlin) & Christof Schütte (Zuse Institute), has been published in the Journal of Nonlinear Science. The paper presents a novel kernel-based machine learning algorithm for […]
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