A new MOX Report entitled “Elimination-compensation pruning for fully-connected neural networks” by Ballini, E.; Muscarnera, L.; Fumagalli, A.; Scotti, A.; Regazzoni, F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/23-2026.pdf Abstract: The unmatched ability of deep neural networks to capture complex patterns in large and noisy […]
MOX_report
251 posts
A new MOX Report entitled “Learning geometry-dependent lead-field operators for forward ECG modeling” by Dokuchaev, A.; Bonizzoni, F.; Pagani, S.; Regazzoni, F.; Pezzuto, S. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/26-2026.pdf Abstract: Modern forward electrocardiogram (ECG) computational models rely on an accurate representation of the […]
A new MOX Report entitled “Neural Markov chain Monte Carlo: Bayesian inversion via normalizing flows and variational autoencoders” by Bottacini, G.; Torzoni, M.; Manzoni, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/21-2026.pdf Abstract: This paper introduces a Bayesian framework that combines Markov chain Monte Carlo […]
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 […]