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Maria Han Veiga
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What do language representations really represent?
J Bjerva, R Östling, MH Veiga, J Tiedemann, I Augenstein
Computational Linguistics 45 (2), 381-389, 2019
392019
A cross-platform collection of social network profiles
M Han Veiga, C Eickhoff
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
162016
Privacy leakage through innocent content sharing in online social networks
MH Veiga, C Eickhoff
arXiv preprint arXiv:1607.02714, 2016
142016
Dec and Ader: similarities, differences and a unified framework
M Han Veiga, P Öffner, D Torlo
Journal of Scientific Computing 87 (1), 1-35, 2021
82021
Machine learning applied to simulations of collisions between rotating, differentiated planets
ML Timpe, M Han Veiga, M Knabenhans, J Stadel, S Marelli
Computational astrophysics and cosmology 7 (1), 1-38, 2020
72020
Towards a general stabilisation method for conservation laws using a multilayer perceptron neural network: 1d scalar and system of equations
MH Veiga, R Abgrall
ECCM-ECFD 2018 6th European Conference on Computational Mechanics (Solids …, 2018
72018
An arbitrary high-order Spectral Difference method for the induction equation
MH Veiga, DA Velasco-Romero, Q Wenger, R Teyssier
Journal of Computational Physics 438, 110327, 2021
62021
Capturing near-equilibrium solutions: a comparison between high-order discontinuous Galerkin methods and well-balanced schemes
MH Veiga, DAR Velasco, R Abgrall, R Teyssier
arXiv preprint arXiv:1803.05919, 2018
62018
Planet–disc interactions with discontinuous Galerkin methods using GPUs
DA Velasco Romero, M Han Veiga, R Teyssier, FS Masset
Monthly Notices of the Royal Astronomical Society 478 (2), 1855-1865, 2018
42018
Neural network-based limiter with transfer learning
R Abgrall, M Han Veiga
Communications on Applied Mathematics and Computation, 1-41, 2020
32020
Neural network based limiter with transfer learning
MH Veiga, R Abgrall
arXiv preprint arXiv:1912.09274, 2019
22019
Towards a general stabilisation method for conservation laws using a multilayer Perceptron neural network: 1D scalar and system of equations
M Han Veiga, R Abgrall
HAL 2018, 2018
12018
Reconstruction of the Density Power Spectrum from Quasar Spectra using Machine Learning
MH Veiga, X Meng, OY Gnedin, NY Gnedin, X Huan
arXiv preprint arXiv:2107.09082, 2021
2021
Comparison of machine learning techniques for emulating collisions in planet formation
M Timpe, M Han Veiga, M Knabenhans
AAS/Division for Extreme Solar Systems Abstracts 51, 318.14, 2019
2019
Exploring numerical schemes for conservation laws
MH Veiga
2019
High Order Structure Preserving Numerical Schemes for Astrophysical Flows
M Han Veiga
University of Zurich, 2019
2019
Emulating Collisions for N-body
M Timpe, M Knabenhans, MH Veiga, J Stadel, S Marelli
Towards a general limiter for systems of conservation laws: 1D scalar and system of equations
MH Veiga, R Abgrall, W Zurich
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