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Big Data Science in Astroparticle Research - HAP Workshop ...Karlsruhe Institute of Technology
indico.scc.kit.edu
09:15, DeepJet: jet classification with the CMS experiment - Dr. Markus Stoye (CERN) (). Slides. 10:00, Application of machine learning methods to H.E.S.S. ...
CMS recognizes achievements of young collaboratorscms.cern
cms.cern
Markus Stoye: For his sustained and critical contributions to the development of the software for the alignment of the Tracker, to the measurement of the ...
AI at the LHC (26. Februar 2019) · (Indico)
indico.mpp.mpg.de
AI at the LHC. by Dr Markus Stoye (Imperial College London). Tuesday 26 Feb 2019, 16:15 → 17:15 Europe/Berlin. MPI Meeting rooms ... › event
B.Z.-Ted: Stopft Knut nicht aus! - B.Z. – Die Stimme Berlins
www.bz-berlin.de
Das Ergebnis der B.Z.-Telefon-Umfrage: 73 Prozent waren dagegen, dass der Eisbär ausgestopft wird.
73 Prozent wollen Knut nicht im MuseumBZ Berlin
www.bz-berlin.de
— Beerdigt Knut und lasst ihn in Ruhe“, empörte sich Markus Stoye.Inzwischen sollen die Untersuchungen zur Todesursache von Knut am Institut ... › archiv-artikel › 73-prozent...
Alignment of the CMS Silicon Tracker using Millepede IICERN
indico.cern.ch
Gero Flucke, Peter Schleper, Georg Steinbrück, Markus Stoye in collaboration with Volker Blobel. University of Hamburg on behalf of the CMS collaboration. › event › CMS_Alignment.pdf.pdf
Innovative Algorithms KickoffCERN Indico
indico.cern.ch
Improved “bump hunts”. • Jet grooming. • Pileup mitigation with ML. • etc. Slide: Markus Stoye, ML for Jets workshop [link] ...
Machine Learning for Jet Physics ( December 2017)Lawrence Berkeley National Laboratory (.gov)
indico.physics.lbl.gov
10:00 Jets and ML in CMS (30'+15') - Markus Stoye (CERN). Jets and ML in CMS (30'+15'). Markus Stoye (CERN). 10: :45. Room:
iThemba-MadMiner-March pdfiThemba LABS
indico.tlabs.ac.za
Markus Stoye. Felix Kling. Irina Espejo. Sinclert Perez. Special thanks to Johann for slides I borrowed. Tilman Plehn. Sally Dawson. Sam Homiller.
Big Data Science in Astroparticle Research - HAP WorkshopIndico@KIT
indico.scc.kit.edu
— Speaker: Dr. Markus Stoye (CERN). Slides. 10:00. Application of machine learning methods to H.E.S.S. data analysis¶ 15m.
Martin Erdmann, RWTH Aachen University, 17‐Sep‐2018 ( ...der Johannes Gutenberg-Universität Mainz
indico.mitp.uni-mainz.de
— Markus Stoye, ACAT2017, CMS DSP‐2017‐ Convolutional network. Recurrent network. Fully connected. Multi classifi‐.
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