Seminars

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Program

DateSpeakerAffiliationTopic 
2021.01.27Arif Sinan UsluUniversity of LuxembourgThe effect of self-paced neurofeedback on EEG learning: An experimental setupdetails
2021.01.20Milad ZeraatpishehUniversity of LuxembourgBayesian neural networks and MC Dropout; ways to measure uncertainty in Deep learningdetails
2021.01.13Lars BeexUniversity of LuxembourgUnsupervised learning to select modes for reduced-order models of hyperelastoplasticity: application to RVEs details
2020.12.16Erkan OterkusUniversity of StrathclydeA Physics-guided Machine Learning Model Based on Peridynamicsdetails
2020.12.09Eleni KoronakiUniversity of LuxembourgFrom partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonicsdetails
2020.12.02Vivek OOmmenIndian Institute of Technology MadrasThe effectiveness of PINNs in solving inverse heat transfer problemsdetails
2020.11.25Anina ŠarkićUniversity of LuxembourgMachine Learning in Wind Engineeringdetails
2020.11.18Diego KozlowskiUniversity of LuxembourgMachine Learning on graphsdetails
2020.11.11Tittu MathewIndian Institute of Technology MadrasBayesian uncertainty quantification and model selectiondetails
2020.11.04Arnaud MazierUniversity of LuxembourgDecision Trees methods, an overview of the white-boxesdetails
2020.10.28Cosmin AnitescuBauhaus-Universität WeimarMethods Based on Artificial Neural Networks for the Solution of Partial Differential Equationsdetails
2020.10.21Eleni KoronakiUniversity of Luxembourg“Dinky, Dirty, Dynamic & Deceptive Data (1)”: An overview of hybrid machine learning and equation-based modellingdetails
2020.10.14Saurabh DeshpandeUniversity of LuxembourgData Driven Hyper-elastic Simulationsdetails
2020.10.07Vasilis KrokosUniversity of Cardiff & Synopsys-SimplewareBayesian Neural Networks for uncertainty estimation on regression problemsdetails