A new MOX Report entitled “Combining physics-based and data-driven models: advancing the frontiers of research with Scientific Machine Learning” by Quarteroni, A.; Gervasio, P.; Regazzoni, F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/09-2025.pdf Abstract: Scientific Machine Learning (SciML) is a recently emerged research field which […]
Yearly Archives: 2025
118 posts
A new MOX Report entitled “Stability and interpolation estimates of Hellinger-Reissner virtual element spaces” by Botti, M.; Mascotto, L.; Vacca, G.; Visinoni, M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/10-2025.pdf Abstract: We prove stability and interpolation estimates for Hellinger-Reissner virtual elements; the constants appearing in […]
A new MOX Report entitled “Enhanched uncertainty quantification variational autoencoders for the solution of Bayesian inverse problems” by Tonini, A.; Dede’, L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/11-2025.pdf Abstract: Among other uses, neural networks are a powerful tool for solving deterministic and Bayesian inverse […]
The project “AHEAD—Advanced AI Techniques for Early Detection and Personalized Monitoring in Alzheimer’s Disease” is one of the nine selected projects for the 16th edition of the Switch2Product Innovation Challenge. The AHEAD project features a multidisciplinary team consisting of: – Prof. Paola F. Antonietti, Dr. Stefano Pagani & Dr. Mattia […]
A new MOX Report entitled “Polytopal discontinuous Galerkin methods for low-frequency poroelasticity coupled to unsteady Stokes flow” by Botti, M.; Fumagalli, I.; Mazzieri, I. has appeared in the MOX Report Collection of the @mox_lab –@dipartimento di matematica, @polimi. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/08-2025.pdf Abstract: We focus on the numerical analysis […]
A new MOX Report entitled “Functional-Ordinal Canonical Correlation Analysis With Application to Data from Optical Sensors” by Patanè, G.; Nicolussi, F.; Krauth, A.; Gauglitz, G.; Colosimo, B. M.; Dede’, L.; Menafoglio, A. has appeared in the MOX Report Collection of the @mox_lab -@dipartimento di matematica, @polimi . Check it out […]
A new MOX Report entitled “Functional-Ordinal Canonical Correlation Analysis With Application to Data from Optical Sensors” by Patanè, G.; Nicolussi, F.; Krauth, A.; Gauglitz, G.; Colosimo, B. M.; Dede’, L.; Menafoglio, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/07-2025.pdf Abstract: We address the problem of […]
A new MOX Report entitled “Enhancing Bayesian model updating in structural health monitoring via learnable mappings” by Torzoni, M.; Manzoni, A.; Mariani, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/06-2025.pdf Abstract: In the context of structural health monitoring (SHM), the selection and extraction of damage […]
