Name: Online Joint GlueX-EIC-PANDA Machine Learning Workshop
Start: 2020-09-21T14:00:00+02:00
End: 2020-09-25T18:45:00+02:00
Location: No location set

Online Joint GlueX-EIC-PANDA Machine Learning Workshop

von Montag, 21. September 2020(14:00) bis Freitag, 25. September 2020(18:45)

: Sessions

: Talks

: Breaks

21.09.2020

22.09.2020

23.09.2020

24.09.2020

25.09.2020

14:00	ML for Beginners I - Thomas Stibor (GSI, Darmstadt) () ML_for_Beginners_I.mp4 slides-ml-1.pdf
14:45	--- Break ---
15:00	ML for Beginners II - Thomas Stibor (GSI, Darmstadt) () gdexample.R introduction-r.pdf ML_for_Beginners_II.mp4 slides-ml-2.pdf
15:45	--- Coffee Break ---
16:15	Particle Identification and Performance Evaluation - Dr. Daniel Lersch (Florida State University) () PID_And_PerformanceEval.pdf PID_and_Performance_Evaluation_I.mp4
17:00	--- Break ---
17:15	Particle Identification and Performance Evaluation - Dr. Daniel Lersch (Florida State University) () PID_and_Performance_Evaluation_II.mp4

14:00	Discussions and Questions ()
14:15	ML for Beginners III - Thomas Stibor (GSI, Darmstadt) () ML_for_Beginners_III.mp4 rnnet.demo.tgz slides-ml-3.pdf
15:00	--- Break ---
15:15	Particle Tracking - Waleed Esmail (Forschungszentrum Jülich(FZJ)) () Particle_Tracking_I.mp4 Tracking_Lecture.pdf
16:00	--- Coffee Break ---
16:30	Particle Tracking II - Waleed Esmail (Forschungszentrum Jülich(FZJ)) () Particle_Tracking_II.mp4
17:15	--- Break ---
17:30	Discussions and Questions ()

14:00	Discussions and Questions ()
14:15	ML for Beginners IV - Thomas Stibor (GSI, Darmstadt) () ML_for_Beginners_IV.mp4 slides-ml-4.pdf slides-resources-dnn.pdf
15:00	--- Break ---
15:15	Sub-Detector Parameter Optimization - Dr. Cristiano Fanelli (MIT) () Detector_Optimization_CF_MLWS.pdf Sub-Detector_Parameter_Optimization.mp4
16:00	--- Coffee Break ---
16:30	Image Classification and Data Quality Monitoring - Dr. Thomas Britton (JLab) () CNN for Data Quality Monitoring CNN for data quality monitoring.pdf Image_Classification_and_Data_Quality_Monitoring.mp4
17:15	--- Break ---
17:30	Discussions and Questions ()

14:00	Discussions and Questions ()
14:15	Generative Adversarial Networks - Peiyong Jiang (GSI, Darmstadt) () GAN4G_E_P_ML_Workshop2020.pdf Generative_Adversarial_Networks.mp4
15:00	--- Break ---
15:15	Support Vector Machines - Thomas Stibor (GSI, Darmstadt) () ocsvm_nu_sigma_0_01.gif ocsvm_nu_sigma_0_01.pdf ocsvm.R slides-svm.pdf Support_Vector_Machines.mp4 svm_c_10_gamma.gif svm_gamma_0_5_c.gif svm.R
16:00	--- Coffee Break ---
16:30	Custom Layers and Loss Functions - Dr. David Lawrence (JLab) () 2020.09.25.CustomLoss_GlueX_PANDA.pdf Custom Layers and Loss Functions Custom_Layers_and_Loss_Functions.mp4
17:15	--- Break ---
17:30	Discussions and Questions ()

14:00	Discussions and Questions ()
14:15	Event Classification with Deep Learning - Cristian Marocico (University of Groningen) () Event_Classification_with_Deep_Learning.mp4 Event Classification with Deep Learning.pdf
15:00	--- Break ---
15:15	The Geneva Library: Using massively parallel processing to solve complex optimization problems - Kilian Schwarz (GSI, Darmstadt) Rüdiger Berlich () GSI_Geneva_PANDA_2020_v3d.pdf The_Geneva_Library.mp4
16:00	--- Coffee Break ---
16:15	Using FPGAs for ML - Dr. Sergey Furletov (JLab) () MLFPGA_PANDA_2020_09_21_v2.pdf Using_FPGAs_for_ML.mp4
17:00	Closing Remarks - Tobias Stockmanns (Forschungszentrum Jülich GmbH) ()

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