Nicola Demo

An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics

G. Rozza, Marco Tezzele, Nicola Demo, 2018, 1810.12364.

Shape Optimization by means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition

Gianluigi Rozza, Marco Tezzele, Nicola Demo, 2018, 1803.07368.

A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks

G. Rozza, Nicola Demo, Laura Meneghetti, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

A continuous trainable filter for convolution with unstructured data

G. Rozza, Nicola Demo, G. Stabile, 2022 .

Towards a Machine Learning Pipeline in Reduced Order Modelling for Inverse Problems: Neural Networks for Boundary Parametrization, Dimensionality Reduction and Solution Manifold Approximation

G. Rozza, Nicola Demo, Anna Ivagnes, 2022, Journal of Scientific Computing.

A Continuous Convolutional Trainable Filter for Modelling Unstructured Data

G. Rozza, Nicola Demo, G. Stabile, 2022, ArXiv.