Andrea Manzoni

Milan, Italy

Last Updated: 09/26/2026

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Found 20 publications

VENI, VINDy, VICI: A generative reduced-order modeling framework with uncertainty quantification.

VENI, VINDy, VICI: A generative reduced-order modeling framework with uncertainty quantification.

Journal: Neural networks : the official journal of the International Neural Network Society

Published: May 26, 2025

Reduced order modeling with shallow recurrent decoder networks.

Reduced order modeling with shallow recurrent decoder networks.

Journal: Nature communications

Published: April 08, 2025

On latent dynamics learning in nonlinear reduced order modeling.

On latent dynamics learning in nonlinear reduced order modeling.

Journal: Neural networks : the official journal of the International Neural Network Society

Published: September 02, 2024

Unveiling the biological side of PET-derived biomarkers: a simulation-based approach applied to PDAC assessment.

Unveiling the biological side of PET-derived biomarkers: a simulation-based approach applied to PDAC assessment.

Journal: European journal of nuclear medicine and molecular imaging

Published: July 18, 2024

Uncertainty quantification and sensitivity analysis of neuron models with ion concentration dynamics.

Uncertainty quantification and sensitivity analysis of neuron models with ion concentration dynamics.

Journal: PloS one

Published: January 05, 2024

Deep learning-based surrogate models for parametrized PDEs: Handling geometric variability through graph neural networks.

Deep learning-based surrogate models for parametrized PDEs: Handling geometric variability through graph neural networks.

Journal: Chaos (Woodbury, N.Y.)

Published: July 31, 2023

Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation.

Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation.

Journal: International journal for numerical methods in biomedical engineering

Published: March 22, 2023

Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches.

Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches.

Journal: Sensors (Basel, Switzerland)

Published: January 29, 2023

Learning high-order interactions for polygenic risk prediction.

Learning high-order interactions for polygenic risk prediction.

Journal: PloS one

Published: July 29, 2022

Approximation bounds for convolutional neural networks in operator learning.

Approximation bounds for convolutional neural networks in operator learning.

Journal: Neural networks : the official journal of the International Neural Network Society

Published: July 04, 2022

Slow Conduction Corridors and Pivot Sites Characterize the Electrical Remodeling in Atrial Fibrillation.

Slow Conduction Corridors and Pivot Sites Characterize the Electrical Remodeling in Atrial Fibrillation.

Journal: JACC. Clinical electrophysiology

Published: August 30, 2021

An Autoencoder-Based Deep Learning Approach for Load Identification in Structural Dynamics.

An Autoencoder-Based Deep Learning Approach for Load Identification in Structural Dynamics.

Journal: Sensors (Basel, Switzerland)

Published: May 20, 2021

Showing 1-12 of 20

Last Updated: 09/26/2026