What do language representations really represent? J Bjerva, R Östling, MH Veiga, J Tiedemann, I Augenstein Computational Linguistics 45 (2), 381-389, 2019 | 57 | 2019 |

DeC and ADER: similarities, differences and a unified framework M Han Veiga, P Öffner, D Torlo Journal of Scientific Computing 87 (1), 2, 2021 | 26 | 2021 |

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 | 22 | 2016 |

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 | 18 | 2018 |

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 | 16 | 2020 |

Privacy leakage through innocent content sharing in online social networks MH Veiga, C Eickhoff arXiv preprint arXiv:1607.02714, 2016 | 16 | 2016 |

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 | 14 | 2023 |

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 | 12 | 2018 |

Neural network-based limiter with transfer learning R Abgrall, M Han Veiga Communications on Applied Mathematics and Computation 5 (2), 532-572, 2023 | 11 | 2023 |

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 | 10 | 2023 |

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 | 10 | 2021 |

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 | 9 | 2018 |

On improving the efficiency of ADER methods MH Veiga, L Micalizzi, D Torlo Applied Mathematics and Computation 466, 128426, 2024 | 5 | 2024 |

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 | 3 | 2023 |

Neural network based limiter with transfer learning MH Veiga, R Abgrall arXiv preprint arXiv:1912.09274, 2019 | 2 | 2019 |

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 | 1 | 2018 |

The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond MH Veiga, FG Ged Walter de Gruyter GmbH & Co KG, 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 |