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IS - Advanced Computational Tools for Data Assimilation and Inverse Analysis Invited Session organized by Ludovic Chamoin | MoA05I02 Room: Sala Acantilado 2 Chair: Ludovic Chamoin |
Reduced-order modeling for uncertainty quantification in cardiac electrophysiology S. Pagani, A. Manzoni and A. Quarteroni Abstract |
Deep convolution neural networks in classification of metals microstructure B. Mulewicz, G. Korpala, J. Kusiak and U. Prahl Abstract |
Numerical benchmarks for the comparison of inverse modeling techniques to identify building wall thermal resistance J. Waeytens, K. Zibouche, S. Thébault, R. Bouchié, V. Le Sant, T.-H. Ha, V. Feuillet and L. Ibos Abstract |
Data-free likelihood informed subspace for dimension reduction of Bayesian inverse problems O. Zahm, T. Cui and Y. Marzouk Abstract |
Identification of the multiscale material model based on a stochastic internal variable D. Szeliga, L. Sztangret, K. Klimczak, J. Kusiak and M. Pietrzyk Abstract |
Multiscale Inverse Analysis Tools for Defect and/or Sources Identication M.M Groz, A. Meziane, A. Sommier, C. Pradere and E. Abisset-Chavanne Abstract |
Transport maps sampling with PGD model reduction for real-time Bayesian data assimilation L. Chamoin, P.B. Rubio and F. Louf Abstract |