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20142026
most citedLayerwise learning for quantum neural networks

341 citations

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math.NA2021★ 15 cited

Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering

Francesco Romor, Marco Tezzele, Markus Mrosek +2

Multi-fidelity models are of great importance due to their capability of fusing information coming from different numerical simulations, surrogates, and sensors. We focus on the ap…

math.NA2019★ 33 cited

Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM

Vasileios Tsiolakis, Matteo Giacomini, Ruben Sevilla +2

The computational cost of parametric studies currently represents the major limitation to the application of simulation-based engineering techniques in a daily industrial environme…