Yearly Archives: 2025

42 posts

New MOX Report on “Stratified Multilevel Graphical Models: Examining Gender Dynamics in Education”

A new MOX Report entitled “Stratified Multilevel Graphical Models: Examining Gender Dynamics in Education” by Nicolussi, F.; Masci, C. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/14-2025.pdf Abstract: This study proposes a methodological approach to investigate gender disparities in education, particularly focusing on the schooling phase […]

New MOX Report on “Estimating Non-Stationarity in Spatial Processes: an approach based on Random Domain Decomposition”

A new MOX Report entitled “Estimating Non-Stationarity in Spatial Processes: an approach based on Random Domain Decomposition” by Scimone, R.; Menafoglio, A.; Secchi, P. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/13-2025.pdf Abstract: The present work addresses the problem of flexible and efficient parameter estimation for […]

New MOX Report on “Improved amplitude amplification strategies for the quantum simulation of classical transport problems”

A new MOX Report entitled “Improved amplitude amplification strategies for the quantum simulation of classical transport problems” by Alessandro Andrea Zecchi, Claudio Sanavio, Simona Perotto e Sauro Succi has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/12-2025.pdf Abstract: The quantum simulation of classical fluids often involves the […]

New MOX Report on “Combining physics-based and data-driven models: advancing the frontiers of research with Scientific Machine Learning”

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 […]

New MOX Report on “Stability and interpolation estimates of Hellinger-Reissner virtual element spaces”

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 […]

New MOX Report on “Enhanched uncertainty quantification variational autoencoders for the solution of Bayesian inverse problems”

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 […]

AHEAD Project funded at the 16th Switch2Product Innovation Challenge

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 […]

New MOX Report on “Polytopal discontinuous Galerkin methods for low-frequency poroelasticity coupled to unsteady Stokes flow”

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 […]

New MOX Report on “Functional-Ordinal Canonical Correlation Analysis With Application to Data from Optical Sensors”

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 […]