| 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 | 73* | 2020 |
| 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 | 48 | 2018 |
| Safe interactive model-based learning M Gallieri, SSM Salehian, NE Toklu, A Quaglino, J Masci, J Koutník, ... arXiv preprint arXiv:1911.06556, 2019 | 17 | 2019 |
| Neural lyapunov model predictive control M Mittal, M Gallieri, A Quaglino, SSM Salehian, J Koutník | 16 | 2020 |
| High-dimensional and higher-order multifidelity Monte Carlo estimators A Quaglino, S Pezzuto, R Krause Journal of Computational Physics, 2019 | 15 | 2019 |
| On sampling spatially-correlated random fields for complex geometries S Pezzuto, A Quaglino, M Potse Functional Imaging and Modeling of the Heart: 10th International Conference …, 2019 | 13 | 2019 |
| Membrane locking in discrete shell theories A Quaglino University of Göttingen, 2012 | 12* | 2012 |
| 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 | 9 | 2020 |
| 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 | 8* | 2020 |
| 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 | 6 | 2020 |
| Generalized Multifidelity Monte Carlo Estimators A Quaglino, S Pezzuto, R Krause Preprint, 2018 | 5 | 2018 |
| 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 | 5 | 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 | 4* | 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 | 4 | 2018 |
| Towards a multigrid method for the minimum-cost flow problem A Quaglino, R Krause arXiv preprint arXiv:1612.00201, 2016 | 4 | 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 | 2 | 2021 |
| 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 | 2 | 2021 |
| Quasi-quadratic elements for nonlinear compressible and incompressible elasticity A Quaglino, M Favino, R Krause Computational Mechanics 62 (2), 213-231, 2018 | 1 | 2018 |
| Towards a Mimetic Nonlinear Shearable Shell J Linn, A Quaglino, M Wardetzky, C Weischedel Non-Standard Numerical Methods for PDE’s, 58, 2010 | | 2010 |
| Simulation of Collision Deformations A Quaglino KTH Royal Institute of Technology, 2008 | | 2008 |
Rolf KrauseFull Professor, KAUST; FernUni Schweiz, BrigVerified email at kaust.edu.sa
