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2006.03040
Cited By
Deep learning-based reduced order models in cardiac electrophysiology
PLoS ONE (PLOS ONE), 2020
2 June 2020
S. Fresca
Andrea Manzoni
Luca Dede'
A. Quarteroni
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Papers citing
"Deep learning-based reduced order models in cardiac electrophysiology"
19 / 19 papers shown
Learning cardiac activation and repolarization times with operator learning
Edoardo Centofanti
Giovanni Ziarelli
N. Parolini
Simone Scacchi
M. Verani
Luca Franco Pavarino
AI4CE
202
1
0
13 May 2025
Learning Macroscopic Dynamics from Partial Microscopic Observations
Neural Information Processing Systems (NeurIPS), 2024
Mengyi Chen
Qianxiao Li
AI4CE
391
2
0
31 Oct 2024
VC dimension of Graph Neural Networks with Pfaffian activation functions
Neural Networks (NN), 2024
Giuseppe Alessio D’Inverno
Monica Bianchini
F. Scarselli
GNN
275
4
0
22 Jan 2024
Deep Learning in Deterministic Computational Mechanics
L. Herrmann
Stefan Kollmannsberger
AI4CE
PINN
394
2
0
27 Sep 2023
Branched Latent Neural Maps
Computer Methods in Applied Mechanics and Engineering (CMAME), 2023
M. Salvador
Alison Lesley Marsden
355
7
0
04 Aug 2023
Phase2vec: Dynamical systems embedding with a physics-informed convolutional network
International Conference on Learning Representations (ICLR), 2022
Matthew Ricci
Noa Moriel
Zoe Piran
Mor Nitzan
AI4CE
334
6
0
07 Dec 2022
Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems
Inverse Problems (IP), 2022
Derick Nganyu Tanyu
Jianfeng Ning
Tom Freudenberg
Nick Heilenkötter
A. Rademacher
U. Iben
Peter Maass
AI4CE
366
66
0
06 Dec 2022
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
International Conference on Learning Representations (ICLR), 2022
Yuan Yin
Matthieu Kirchmeyer
Jean-Yves Franceschi
A. Rakotomamonjy
Patrick Gallinari
AI4CE
332
77
0
29 Sep 2022
Multi-fidelity surrogate modeling using long short-term memory networks
Computer Methods in Applied Mechanics and Engineering (CMAME), 2022
Paolo Conti
Mengwu Guo
Andrea Manzoni
J. Hesthaven
AI4CE
286
72
0
05 Aug 2022
Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing
Leonard Bereska
E. Gavves
248
7
0
27 Jun 2022
Virtual twins of nonlinear vibrating multiphysics microstructures: physics-based versus deep learning-based approaches
Italian National Conference on Sensors (INS), 2022
G. Gobat
S. Fresca
Andrea Manzoni
A. Frangi
AI4CE
199
13
0
12 May 2022
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes
The Physics of Fluids (Phys. Fluids), 2022
Claire E. Heaney
Zef Wolffs
Jón Atli Tómasson
L. Kahouadji
P. Salinas
A. Nicolle
Omar K. Matar
Ionel M. Navon
N. Srinil
Christopher C. Pain
AI4CE
291
34
0
13 Feb 2022
Deep-HyROMnet: A deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEs
Journal of Scientific Computing (J. Sci. Comput.), 2022
Ludovica Cicci
S. Fresca
Andrea Manzoni
AI4CE
246
35
0
05 Feb 2022
Generalizing to New Physical Systems via Context-Informed Dynamics Model
International Conference on Machine Learning (ICML), 2022
Matthieu Kirchmeyer
Yuan Yin
Jérémie Donà
Nicolas Baskiotis
A. Rakotomamonjy
Patrick Gallinari
OOD
AI4CE
316
54
0
01 Feb 2022
Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models
Federico Fatone
S. Fresca
Andrea Manzoni
AI4TS
198
19
0
25 Jan 2022
Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification
Lia Gander
Simone Pezzuto
A. Gharaviri
Rolf Krause
P. Perdikaris
F. Sahli Costabal
336
15
0
15 Dec 2021
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models
S. Fresca
Andrea Manzoni
AI4CE
208
49
0
10 Jun 2021
LEADS: Learning Dynamical Systems that Generalize Across Environments
Neural Information Processing Systems (NeurIPS), 2021
Yuan Yin
Ibrahim Ayed
Emmanuel de Bézenac
Nicolas Baskiotis
Patrick Gallinari
OOD
322
46
0
08 Jun 2021
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition
Computer Methods in Applied Mechanics and Engineering (CMAME), 2021
S. Fresca
Andrea Manzoni
AI4CE
260
282
0
28 Jan 2021
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