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Variance Based Samples Weighting for Supervised Deep Learning., , , and . CoRR, (2021)Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning., , , and . CoRR, (2022)Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)., , , , and . CoRR, (2022)Validation and automatic test generation on UML models: the AGATHA approach., , and . FMICS, volume 66 of Electronic Notes in Theoretical Computer Science, page 33-49. Elsevier, (2002)Automatic Test Generation with AGATHA., , , , , , and . TACAS, volume 2619 of Lecture Notes in Computer Science, page 591-596. Springer, (2003)MDHPCL 2012 workshop summary., , , , , and . MDHPCL@MoDELS, page 1. ACM, (2012)On the use of models for high-performance scientific computing applications: an experience report., , , and . Softw. Syst. Model., 17 (1): 319-342 (2018)The tensor algebra compiler., , , , and . Proc. ACM Program. Lang., 1 (OOPSLA): 77:1-77:29 (2017)taco: a tool to generate tensor algebra kernels., , , , and . ASE, page 943-948. IEEE Computer Society, (2017)Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)., , , , and . J. Comput. Phys., (February 2024)