A new MOX report entitled “Reducing the Drag of a Bluff Body by Deep Reinforcement Learning” by Ballini, E.; Chiappa, A.S.; Micheletti, S. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/40/2023.pdf Abstract: We present a deep reinforcement learning approach to a […]
A new MOX report entitled “Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes” by Regazzoni, F.; Pagani, S.; Salvador, M.; Dede’, L.; Quarteroni, 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/37/2023.pdf Abstract: Predicting the evolution of systems […]
A new MOX report entitled “A Deep Learning algorithm to accelerate Algebraic Multigrid methods in Finite Element solvers of 3D elliptic PDEs” by Caldana, M.; Antonietti, P. F.; Dede’, L. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/34/2023.pdf Abstract: Algebraic multigrid […]
A new MOX report entitled “Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach” by Ragni, A.; Masci, C.; Ieva, F.; Paganoni, A. M. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/15/2023.pdf Abstract: We introduce a novel […]
A new MOX report entitled “Agglomeration of Polygonal Grids using Graph Neural Networks with applications to Multigrid solvers” by Antonietti, P. F.; Farenga, N.; Manuzzi, E.; Martinelli, G.; Saverio, L. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/79/2022.pdf Abstract: Agglomeration-based strategies […]
A new MOX report entitled “A deep learning approach for detection and localization of leaf anomalies” by Calabrò, D.; Lupo Pasini, M.; Ferro, N.; Perotto, S. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/71/2022.pdf Abstract: The detection and localization of possible […]
A new MOX report entitled “A deep learning approach for detection and localization of leaf anomalies” by Calabrò, D.; Lupo Pasini, M.; Ferro, N.; Perotto, S. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/71/2022.pdf Abstract: The detection and localization of possible […]
A new MOX report entitled “Learning Operators with Mesh-Informed Neural Networks” by Franco, N.R; 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/69/2022.pdf Abstract: Thanks to their universal approximation properties and new efficient training strategies, Deep Neural Networks […]
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 […]