Alessio Quaglino
Cited by
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Fast uncertainty quantification of activation sequences in patient‐specific cardiac electrophysiology meeting clinical time constraints
A Quaglino, S Pezzuto, PS Koutsourelakis, A Auricchio, R Krause
International journal for numerical methods in biomedical engineering 34 (7 …, 2018
SNODE: Spectral Discretization of Neural ODEs for System Identification
A Quaglino, M Gallieri, J Masci, J Koutník
International Conference on Learning Representations (ICLR 2020), 2020
Neural lyapunov model predictive control
M Mittal, M Gallieri, A Quaglino, SSM Salehian, J Koutník
High-dimensional and higher-order multifidelity Monte Carlo estimators
A Quaglino, S Pezzuto, R Krause
Journal of Computational Physics, 2019
Membrane locking in discrete shell theories
A Quaglino
University of Göttingen, 2012
Safe interactive model-based learning
M Gallieri, SSM Salehian, NE Toklu, A Quaglino, J Masci, J Koutník, ...
arXiv preprint arXiv:1911.06556, 2019
On sampling spatially-correlated random fields for complex geometries
S Pezzuto, A Quaglino, M Potse
International Conference on Functional Imaging and Modeling of the Heart …, 2019
A DFT-driven multifidelity framework for constructing efficient energy models for atomic-scale simulations
L Messina, A Quaglino, A Goryaeva, MC Marinica, C Domain, N Castin, ...
Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2020
Real-time classification from short event-camera streams using input-filtering neural ODEs
G Giannone, A Anoosheh, A Quaglino, P D'Oro, M Gallieri, J Masci
arXiv preprint arXiv:2004.03156, 2020
A framework for creating low‐order shell elements free of membrane locking
A Quaglino
International Journal for Numerical Methods in Engineering 108 (1), 55-75, 2016
Multiscale modeling, discretization, and algorithms: a survey in biomechanics
M Favino, A Quaglino, S Pozzi, I Pivkin, R Krause
arXiv preprint arXiv:1609.07719, 2018
kFEM: Adaptive meshfree finite‐element methods using local kernels on arbitrary subdomains
A Quaglino, R Krause
International Journal for Numerical Methods in Engineering 114 (6), 581-597, 2018
Towards a multigrid method for the minimum-cost flow problem
A Quaglino, R Krause
arXiv preprint arXiv:1612.00201, 2016
Space-time multilevel Monte Carlo methods and their application to cardiac electrophysiology
S Ben Bader, P Benedusi, A Quaglino, P Zulian, R Krause
Journal of Computational Physics 433, 2021
Neural Lyapunov Model Predictive Control: Learning Safe Global Controllers from Sub-optimal Examples
M Mittal, M Gallieri, A Quaglino, SSM Salehian, J Koutník
arXiv preprint arXiv:2002.10451, 2020
Quasi-quadratic elements for nonlinear compressible and incompressible elasticity
A Quaglino, M Favino, R Krause
Computational Mechanics 62 (2), 213-231, 2018
Space-time multilevel quadrature methods and their application for cardiac electrophysiology
S Ben Bader, H Harbrecht, R Krause, M Multerer, A Quaglino, ...
arXiv preprint arXiv:2105.02007, 2021
Towards a Mimetic Nonlinear Shearable Shell
J Linn, A Quaglino, M Wardetzky, C Weischedel
Non-Standard Numerical Methods for PDE’s, 58, 2010
Simulation of Collision Deformations
A Quaglino
KTH Royal Institute of Technology, 2008
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Articles 1–19