A new MOX Report entitled “Voronoi Depth for functional data over non-convex multidimensional supports” by Cavazzutti, M.; Palummo, A.; Arnone, E.; Sun, Y.; Genton, M.G.; Sangalli, L.M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/83-2026.pdf Abstract: In this work, we propose an integrated depth for functional […]
Dipartimento_di_Matematica
239 posts
A new MOX Report entitled “Reinforcement learning for control of partial differential equations” by Botteghi, N.; Tomasetto, M.; Manzoni, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/82-2026.pdf Abstract: Controlling dynamical systems governed by partial differential equations (PDEs) remains a challenging task in scientific computing, owing […]
A new MOX Report entitled “Modeling spatio-temporal smoothness using nonlinear differential operators” by Clemente, A.; Palummo, A.; Arnone, E.; Aston, J.A.D.; Panzica, F.; Sangalli, L.M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/81-2026.pdf Abstract: This work introduces a novel smoothing technique for functional data observed over […]
A new MOX Report entitled “Deep Invertible Autoencoders for Dimensionality Reduction of Dynamical Systems” by Botteghi, N; Glas, S; Brune, C has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/80-2026.pdf Abstract: Constructing reduced-order models (ROMs) capable of efficiently predicting the evolution of parameter-dependent high-dimensional dynamical systems is […]
A new MOX Report entitled “Deep Invertible Autoencoders for Dimensionality Reduction of Dynamical Systems” by Botteghi, N; Glas, S; Brune, C has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/80-2026.pdf Abstract: Constructing reduced-order models (ROMs) capable of efficiently predicting the evolution of parameter-dependent high-dimensional dynamical systems is […]
A new MOX Report entitled “Deep Invertible Autoencoders for Dimensionality Reduction of Dynamical Systems” by Botteghi, N; Glas, S; Brune, C has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/80-2026.pdf Abstract: Constructing reduced-order models (ROMs) capable of efficiently predicting the evolution of parameter-dependent high-dimensional dynamical systems is […]
A new MOX Report entitled “A computational model for phenotype-structured tumour dynamics with reduced microvascular oxygen and event-based radiotherapy” by Vitullo, P.; Macaluso, C.; Gazzoni, S.; Cassanmagnago, A.; Dimola, N.; Possenti, L.; Zunino, P. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/79-2026.pdf Abstract: Tumour response to […]
A new MOX Report entitled “Interconnection and Damping Assignment Passivity-Based Control using Sparse Neural ODEs” by Botteghi, N; Brook, O; Fasel, U; Califano, F has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/78-2026.pdf Abstract: Interconnection and Damping Assignment Passivity-Based Control (IDA-PBC) is a nonlinear control technique that […]
A new MOX Report entitled “A Neural-Network Approach for the Stability of Loosely-Coupled FSI Simulations in Hemodynamics” by Renzi, F.; Pagani, S.; Antonietti, P.F.; Vergara, C. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/77-2026.pdf Abstract: The development of accurate and efficient computational methods for fluid-structure interaction […]
A new MOX Report entitled “HypeMARL: Multi-Agent Reinforcement Learning For High-Dimensional, Parametric, and Distributed Systems” by Botteghi, N; Tomasetto, M; Fasel, U; Braghin, F; Manzoni, A has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/75-2026.pdf Abstract: Deep reinforcement learning has recently emerged as a promising feedback control […]