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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
532019
DeC and ADER: similarities, differences and a unified framework
M Han Veiga, P Öffner, D Torlo
Journal of Scientific Computing 87 (1), 2, 2021
232021
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
192016
Privacy leakage through innocent content sharing in online social networks
MH Veiga, C Eickhoff
arXiv preprint arXiv:1607.02714, 2016
162016
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, 1-38, 2020
152020
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
152018
Towards a general stabilisation method for conservation laws using a multilayer perceptron neural network: 1d scalar and system of equations
MMH Veiga, R Abgrall
ECCM-ECFD 2018 6th European Conference on Computational Mechanics (Solids …, 2018
122018
Neural network-based limiter with transfer learning
R Abgrall, M Han Veiga
Communications on Applied Mathematics and Computation 5 (2), 532-572, 2023
92023
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
92021
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
92018
An interdisciplinary outlook on large language models for scientific research
J Boyko, J Cohen, N Fox, MH Veiga, JI Li, J Liu, B Modenesi, AH Rauch, ...
arXiv preprint arXiv:2311.04929, 2023
62023
A new variable shape parameter strategy for RBF approximation using neural networks
FN Mojarrad, MH Veiga, JS Hesthaven, P Öffner
Computers & Mathematics with Applications 143, 151-168, 2023
62023
On improving the efficiency of ADER methods
MH Veiga, L Micalizzi, D Torlo
Applied Mathematics and Computation 466, 128426, 2024
32024
Spectral difference method with a posteriori limiting: application to the Euler equations in one and two space dimensions
DA Velasco Romero, M Han-Veiga, R Teyssier
Monthly Notices of the Royal Astronomical Society 520 (3), 3591-3608, 2023
22023
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
The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond
MH Veiga, FG Ged
The Mathematics of Machine Learning, 2024
2024
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality
F Ged, MH Veiga
arXiv preprint arXiv:2303.12785, 2023
2023
Mathematical Foundations of Machine Learning
MH Veiga, FG Ged
2022
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
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