MOX Report on Approximation bounds for convolutional neural networks in operator learning

A new MOX report entitled “Approximation bounds for convolutional neural networks in operator learning” by Franco, N.; Fresca, S.; Manzoni, A.; Zunino, P. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/45/2022.pdf Abstract: Recently, deep Convolutional Neural Networks (CNNs) have proven to […]

MOX Report on A Reduced Basis Method for Darcy flow systems that ensures local mass conservation by using exact discrete complexes

A new MOX report entitled “A Reduced Basis Method for Darcy flow systems that ensures local mass conservation by using exact discrete complexes” by Boon, W. M.; Fumagalli, A. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/37/2022.pdf Abstract: A solution technique […]