Organizers: Andrea Manzoni (Chair), Nicolò Botteghi, Luca Dede’, Nicola Farenga, Nicola Rares Franco, Andrea Manzoni, Simona Perotto, Piermario Vitullo, Paolo Zunino (Organizing Committee) When: 2026-11-2 – 2026-11-6 Where: Politecnico di Milano Description: This 5-day conference will bring together the international community of computational scientists, engineers, mathematicians, and domain experts from […]
A new MOX Report entitled “DISARM++: Beyond scanner-free harmonization” by Caldera, L.; Cavinato, L.; Cirone, A.; Cama, I.; Garbarino, S.; Lodi, R.; Tagliavini, F.; Nigri, A.; De Francesco, S.; Cappozzo, A.; Piana, M.; Ieva, F.; has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/20-2026.pdf Abstract: Harmonization of […]
A new MOX Report entitled “Scanner-agnostic MRI harmonization via SSIM-guided disentaglement” by Caldera, L.; Cavinato, L.; Ieva, F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/19-2026.pdf Abstract: The variability introduced by differences in MRI scanner models, acquisition protocols, and imaging sites hinders consistent analysis and generalizability […]
A new MOX Report entitled “MAGIC-Flow: multiscale adaptive conditional flows for generation and interpretable classification” by Caldera, L.; Bottacini, G.; Cavinato, L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/17-2026.pdf Abstract: Generative modeling has emerged as a powerful paradigm for representation learning, but its direct applicability […]
A new MOX Report entitled “MAGIC-Flow: multiscale adaptive conditional flows for generation and interpretable classification” by Caldera, L.; Bottacini, G.; Cavinato, L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/17-2026.pdf Abstract: Generative modeling has emerged as a powerful paradigm for representation learning, but its direct applicability […]
A new MOX Report entitled “MAGIC-Flow: multiscale adaptive conditional flows for generation and interpretable classification” by Caldera, L.; Bottacini, G.; Cavinato, L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/17-2026.pdf Abstract: Generative modeling has emerged as a powerful paradigm for representation learning, but its direct applicability […]
A new MOX Report entitled “MAGIC-Flow: multiscale adaptive conditional flows for generation and interpretable classification” by Caldera, L.; Bottacini, G.; Cavinato, L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/17-2026.pdf Abstract: Generative modeling has emerged as a powerful paradigm for representation learning, but its direct applicability […]
A new MOX Report entitled “Block encoding of sparse matrices with a periodic diagonal structure” by Zecchi, A. A.; Sanavio, C.; Cappelli, L.; Perotto, S.; Roggero, A.; Succi, S. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/15-2026.pdf Abstract: Block encoding is a successful technique used in […]
A new MOX Report entitled “Neural Preconditioning via Krylov Subspace Geometry” by Dimola, N.; Coclite, A.; Zunino, P. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/13-2026.pdf Abstract: We propose a geometry-aware strategy for training neural preconditioners tailored to parametrized linear systems arising from the discretization of […]
A new MOX Report entitled “Nudging communication for students at risk: experimental evidence from an Italian university” by Agasisti, T.; Cannistrà, M.; Paganoni, A.M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/14-2026.pdf Abstract: To address the dropout issue in an Italian university, this research deals with […]