Andrea Manzoni

34/2026

Multi-Agent Digital Twins for strategic decision-making using Active Inference

MANCINELLI, F. M.; TORZONI, M.; MAISTO, D.; DONNARUMMA, F.; CORIGLIANO, A.; PEZZULO, G.; MANZONI, A. April 14, 2026

21/2026

Neural Markov chain Monte Carlo: Bayesian inversion via normalizing flows and variational autoencoders

BOTTACINI, G.; TORZONI, M.; MANZONI, A. February 27, 2026

09/2026

Hidden multistate models to study multimorbidity trajectories

MANZONI, V.; IEVA, F.;LARRANAGA, A.C.; VETRANO, D.L.; GREGORIO, C. January 28, 2026

82/2025

Adaptive digital twins for predictive decision-making: Online Bayesian learning of transition dynamics

VARETTI, E.; TORZONI, M.; TEZZELE, M.; MANZONI, A. December 22, 2025

79/2025

Multi-Fidelity Delayed Acceptance: hierarchical MCMC sampling for Bayesian inverse problems combining multiple solvers through deep neural networks

ZACCHEI, F.; CONTI, P.; FRANGI, A.; MANZONI, A. December 20, 2025

59/2025

Interpretable and efficient data-driven discovery and control of distributed systems

WOLF, F.; BOTTEGHI, N.; FASEL, U.; MANZONI, A. October 1, 2025

54/2025

Reduced order modeling with shallow recurrent decoder networks

TOMASETTO, M.; WILLIAMS, J.P.; BRAGHIN, F.; MANZONI, A.; KUTZ, J.N. September 8, 2025

51/2025

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models

TOMASETTO, M.; BRAGHIN, F., MANZONI, A. September 4, 2025

44/2025

Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROM

BRIVIO, S.; FRESCA, S.; MANZONI, A. July 16, 2025

43/2025

Real-time optimal control of high-dimensional parametrized systems by deep-learning based reduced order models

TOMASETTO, M.; MANZONI, A.; BRAGHIN, F. July 14, 2025

41/2025

Active digital twins via active inference

TORZONI, M.; MAISTO, D.; MANZONI, A.; DONNARUMMA, F.; PEZZULO, G.; CORIGLIANO, A. July 11, 2025

42/2025

Deep orthogonal decomposition: a continuously adaptive neural network approach to model order reduction of parametrized partial differential equations

FRANCO, N. R.; MANZONI, A.; ZUNINO, P.; HESTHAVEN, J. S. July 11, 2025

30/2025

Online learning in bifurcating dynamic systems via SINDy and Kalman filtering

ROSAFALCO, L.; CONTI, P.; MANZONI, A.; MARIANI, S.; FRANGI, A. May 22, 2025

31/2025

HypeRL: Parameter-Informed Reinforcement Learning for Parametric PDEs

BOTTEGHI, N.; FRESCA, S.; GUO, M.; MANZONI, A. May 22, 2025

06/2025

Enhancing Bayesian model updating in structural health monitoring via learnable mappings

TORZONI, M.; MANZONI, A.; MARIANI, A. January 17, 2025

104/2024

Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks

CERRONE, D.; RICCOBELLI, D.; VITULLO, P.; BALLARIN, F.; FALCO, J.; ACERBI, F.; MANZONI, A.; ZUNINO, P.; CIARLETTA, P. December 7, 2024

100/2024

On latent dynamics learning in nonlinear reduced order modeling

FARENGA, N.; FRESCA, S.; BRIVIO, S.; MANZONI, A. November 27, 2024

94/2024

Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks

FRANCO, N.R.; FRESCA, S.; TOMBARI, F.; MANZONI, A. November 11, 2024

93/2024

VENI, VINDy, VICI - a variational reduced-order modeling framework with uncertainty quantification

CONTI, P.; KNEIFL, J.; MANZONI, A.; FRANGI, A.; FEHR, J.; BRUNTON, S.L.; KUTZ, J.N. November 11, 2024

95/2024

Neural networks based surrogate modeling for efficient uncertainty quantification and calibration of MEMS accelerometers

ZACCHEI, F.; RIZZINI, F.; GATTERE, G.; FRANGI, A.; MANZONI, A. November 11, 2024

96/2024

PTPI-DL-ROMs: Pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs

BRIVIO, S.; FRESCA, S.; MANZONI, A. November 11, 2024

85/2024

Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition

BRIVIO, S.; FRANCO, NICOLA R.; FRESCA, S.; MANZONI, A. November 9, 2024

86/2024

On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields

FRANCO, N.R.; FRAULIN, D.; MANZONI, A.; ZUNINO, P. November 9, 2024

83/2024

Multi-fidelity reduced-order surrogate modelling

CONTI, P.; GUO, M.; MANZONI, A.; FRANGI, A.; BRUNTON, S. L.; KUTZ, J.N. November 8, 2024

82/2024

EKF-SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics

ROSAFALCO, L.; CONTI, P.; MANZONI, A.; MARIANI, S.; FRANGI, A. November 8, 2024

20/2024

Structural health monitoring of civil structures: A diagnostic framework powered by deep metric learning

TORZONI, M.; MANZONI, A.; MARIANI, S. February 22, 2024

19/2024

A multi-fidelity surrogate model for structural health monitoring exploiting model order reduction and artificial neural networks

TORZONI, M.; MANZONI, A.; MARIANI, S. February 22, 2024

05/2024

Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions

CONTI, P.; GOBAT, G.; FRESCA, S.; MANZONI, A.; FRANGI, A. January 24, 2024

04/2024

A digital twin framework for civil engineering structures

TORZONI, M.; TEZZELE, M.; MARIANI, S.; MANZONI, A.; WILLCOX, K.E. January 22, 2024

105/2023

Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression

CICCI, L.; FRESCA, S.; GUO, M.; MANZONI, A.; ZUNINO, P. December 16, 2023

68/2023

Nonlinear model order reduction for problems with microstructure using mesh informed neural networks

VITULLO, P.; COLOMBO, A.; FRANCO, N.R.; MANZONI, A.; ZUNINO, P. September 14, 2023

66/2023

Deep learning-based reduced order models for the real-time simulation of the nonlinear dynamics of microstructures

FRESCA, S.; GOBAT, G.; FEDELI, P.; FRANGI, A.; MANZONI, A. September 5, 2023

67/2023

Multi-fidelity surrogate modeling using long short-term memory networks

CONTI, P.; GUO, M.; MANZONI, A.; HESTHAVEN, J.S. September 5, 2023

62/2023

A staggered-in-time and non-conforming-in-space numerical framework for realistic cardiac electrophysiology outputs

ZAPPON, E.; MANZONI, A.; QUARTERONI, A. August 8, 2023

69/2022

Learning Operators with Mesh-Informed Neural Networks

FRANCO, N.R; MANZONI, A.; ZUNINO, P. October 19, 2022

MOX

45/2022

Approximation bounds for convolutional neural networks in operator learning

FRANCO, N.; FRESCA, S.; MANZONI, A.; ZUNINO, P. July 13, 2022

MOX

43/2022

A reduced order model for domain decompositions with non-conforming interfaces

ZAPPON E.; MANZONI A.; GERVASIO P.; QUARTERONI A. June 20, 2022

MOX

14/2022

Efficient and certified solution of parametrized one-way coupled problems through DEIM-based data projection across non-conforming interfaces

ZAPPON, E.; MANZONI, A.; QUARTERONI A. March 17, 2022

MOX

10/2022

Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models

FRESCA, S.; MANZONI, A. February 22, 2022

MOX

08/2022

Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition

GOBAT, G.; OPRENI, A.; FRESCA, S.; MANZONI, A.; FRANGI, A. February 2, 2022

MOX

07/2022

Fast active thermal cloaking through PDE-constrained optimization and reduced-order modeling

SINIGAGLIA, C.; QUADRELLI, D.E.; MANZONI, A.; BRAGHIN, F. February 2, 2022

MOX

77/2021

Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities

GUO, M.; MANZONI, A.; AMENDT, M.; CONTI, P.; HESTHAVEN, J.S. November 28, 2021

MOX

75/2021

Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics

CICCI, L.; FRESCA, S.; PAGANI, S.; MANZONI, A.; QUARTERONI, A. November 28, 2021

MOX

72/2021

POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition

FRESCA, S.; MANZONI, A. November 16, 2021

MOX

71/2021

A Deep Learning approach to Reduced Order Modelling of parameter dependent Partial Differential Equations

FRANCO, N.; MANZONI, A.; ZUNINO, P. November 16, 2021

MOX

63/2021

Online structural health monitoring by model order reduction and deep learning algorithms

ROSAFALCO, L.; TORZONI, M.; MANZONI, A.; MARIANI, S.; CORIGLIANO, A. October 22, 2021

MOX

60/2021

Fully convolutional networks for structural health monitoring through multivariate time series classification

ROSAFALCO, L.; MANZONI, A.; MARIANI, S.; CORIGLIANO, A. September 27, 2021

MOX

36/2021

SUIHTER: A new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy

PAROLINI, N.; DEDE', L; ANTONIETTI, P. F.; ARDENGHI, G.; MANZONI, A.; MIGLIO, E.; PUGLIESE, A.; VERANI, M.; QUARTERONI, A. June 11, 2021

MOX

16/2021

Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks

SALVADOR, M.; DEDE', L.; MANZONI, A. March 31, 2021

MOX

59/2020

High-Order Interaction Learning via Targeted Pattern Search

MASSI, M.C.; FRANCO, N.R; IEVA, F.; MANZONI, A.; PAGANONI, A.M.; ZUNINO, P. August 7, 2020

MOX

40/2020

Deep learning-based reduced order models in cardiac electrophysiology

FRESCA, S.; MANZONI, A.; DEDè, L.; QUARTERONI, A. June 7, 2020

MOX

30/2020

A deep learning approach validates genetic risk factors for late toxicity after prostate cancer radiotherapy in a REQUITE multinational cohort

MASSI, M.C., GASPERONI, F., IEVA, F., PAGANONI, A.M., ZUNINO, P., MANZONI, A., FRANCO, N.R., ET AL. May 9, 2020

MOX

02/2020

A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs

FRESCA, S.; DEDE', L.; MANZONI, A. January 10, 2020

MOX

13/2019

A saddle point approach to an optimal boundary control problem for steady Navier-Stokes equations

MANZONI, A; QUARTERONI, A.; SALSA, S. March 26, 2019

MOX

07/2019

Hyper-reduced order models for parametrized unsteady Navier-Stokes equations on domains with variable shape

DAL SANTO, N.; MANZONI, A. February 4, 2019

MOX

06/2019

Statistical closure modeling for reduced-order models of stationary systems by the ROMES method

PAGANI, S.; MANZONI, A.; CARLBERG, K. February 4, 2019

MOX

54/2018

Multi space reduced basis preconditioners for parametrized Stokes equations

DAL SANTO, N.; DEPARIS, S.; MANZONI, A.; QUARTERONI, A. October 30, 2018

MOX

32/2018

An algebraic least squares reduced basis method for the solution of nonaffinely parametrized Stokes equations

DAL SANTO, N.; DEPARIS, S.; MANZONI, A.; QUARTERONI, A. June 3, 2018

MOX

29/2018

Reduced order modeling for cardiac electrophysiology and mechanics: new methodologies, challenges & perspectives

MANZONI, A; BONOMI, D.; QUARTERONI, A. May 1, 2018

MOX

12/2018

Multi space reduced basis preconditioners for large-scale parametrized PDEs

DAL SANTO, N.; DEPARIS, S.; MANZONI, A.; QUARTERONI, A. February 14, 2018

MOX

05/2018

Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method

PAGANI, S.; MANZONI, A.; QUARTERONI, A. January 16, 2018

MOX

38/2016

The Cardiovascular System: Mathematical Modeling, Numerical Algorithms, Clinical Applications

QUARTERONI, A.; MANZONI, A.; VERGARA, C. November 7, 2016

MOX

24/2016

A Reduced Basis Ensemble Kalman Filter for State/parameter Identification in Large-scale Nonlinear Dynamical Systems

PAGANI, S.; MANZONI, A.; QUARTERONI, A. June 12, 2016

MOX

14/2016

A matrix discrete empirical interpolation method for the efficient model reduction of parametrized nonlinear PDEs: application to nonlinear elasticity problems

BONOMI, D.; MANZONI, A.; QUARTERONI, A. March 18, 2016

MOX

51/2015

Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD–Galerkin method and a vascular shape parametrization

BALLARIN, F.; FAGGIANO, E.; IPPOLITO, S.; MANZONI, A.; QUARTERONI, A.; ROZZA, G.; SCROFANI, R. September 30, 2015

MOX

35/2015

A certified reduced basis method for PDE-constrained parametric optimization problems by an adjoint-based approach

MANZONI, A.; PAGANI, S. June 26, 2015

MOX

16/2015

Reduced basis approximation and a posteriori error estimates for parametrized elliptic eigenvalue problems

FUMAGALLI, I.; MANZONI, A.; PAROLINI, N.; VERANI, M. March 31, 2015

MOX

59/2014

Accurate solution of Bayesian inverse uncertainty quantification problems using model and error reduction methods

MANZONI, A.; PAGANI, S.; LASSILA, T. December 12, 2014

MOX

13/2014

Supremizer stabilization of POD-Galerkin approximation of parametrized Navier-Stokes equations

BALLARIN, F.; MANZONI, A.; QUARTERONI, A.; ROZZA, G. April 21, 2014

MOX

29/2013

Model order reduction in fluid dynamics: challenges and perspectives

LASSILA, T.; MANZONI, A.; QUARTERONI, A.; ROZZA, G. July 3, 2013

MOX

45/2012

Reduced basis method for parametrized elliptic optimal control problems

NEGRI, F.; ROZZA, G.; MANZONI, A.; QUARTERONI, A. October 24, 2012

MOX

42/2012

Generalized reduced basis methods and n width estimates for the approximation of the solution manifold of parametric PDEs

LASSILA, T.; MANZONI, A.; QUARTERONI, A.; ROZZA, G. October 15, 2012

MOX

17/2012

Computational reduction for parametrized PDEs: strategies and applications

MANZONI, A.; QUARTERONI, A.; GIANLUIGI ROZZA, G. March 20, 2012

MOX

10/2012

Boundary control and shape optimization for the robust design of bypass anastomoses under uncertainty

LASSILA, T.; MANZONI, A.; QUARTERONI, A.; ROZZA, G. February 9, 2012

MOX

01/2012

A reduced computational and geometrical framework for inverse problems in haemodynamics

LASSILA, T.; MANZONI, A.; QUARTERONI, A.; ROZZA, G. January 12, 2012

MOX

24/2011

Model reduction techniques for fast blood flow simulation in parametrized geometries

MANZONI, A.; QUARTERONI, A.; ROZZA, G. June 20, 2011

MOX

17/2011

Certified Reduced Basis Approximation for Parametrized Partial Differential Equations and Applications

QUARTERONI, A.; ROZZA, G.; MANZONI, A. March 31, 2011

MOX

31/2010

Shape optimization for viscous flows by reduced basis methods and free-form deformation

MANZONI, ANDREA; QUARTERONI, ALFIO; ROZZA, GIANLUIGI November 6, 2010