Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method

1 March 2022

Papers citing "Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method"

5 / 5 papers shown

Title
Generative Adversarial Reduced Order Modelling Dario Coscia N. Demo G. Rozza GAN AI4CE 39 5 0 25 May 2023
A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems Isabella Carla Gonnella M. Hess G. Stabile G. Rozza AI4CE 32 2 0 24 Jan 2023
Towards a machine learning pipeline in reduced order modelling for inverse problems: neural networks for boundary parametrization, dimensionality reduction and solution manifold approximation A. Ivagnes N. Demo G. Rozza MedIm AI4CE 17 8 0 26 Oct 2022
A Continuous Convolutional Trainable Filter for Modelling Unstructured Data Dario Coscia L. Meneghetti N. Demo G. Stabile G. Rozza 16 8 0 24 Oct 2022
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016