| What do language representations really represent? J Bjerva, R Östling, MH Veiga, J Tiedemann, I Augenstein Computational Linguistics 45 (2), 381-389, 2019 | 59 | 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 | 30 | 2021 |
| 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 | 24 | 2023 |
| 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 | 23 | 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 | 19 | 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 | 17 | 2020 |
| 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 | 16 | 2023 |
| Privacy leakage through innocent content sharing in online social networks MH Veiga, C Eickhoff arXiv preprint arXiv:1607.02714, 2016 | 16 | 2016 |
| Neural network-based limiter with transfer learning R Abgrall, M Han Veiga Communications on Applied Mathematics and Computation 5 (2), 532-572, 2023 | 12 | 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 |
| 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 | 8 | 2024 |
| An interdisciplinary outlook on large language models for scientific research. arXiv 2023 J Boyko, J Cohen, N Fox, MH Veiga, JI Li, J Liu, B Modenesi, AH Rauch, ... arXiv preprint arXiv:2311.04929, 0 | 5 | |
| 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 | 4 | 2023 |
| The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond MH Veiga, FG Ged Walter de Gruyter GmbH & Co KG, 2024 | 2 | 2024 |
| Neural network based limiter with transfer learning MH Veiga, R Abgrall arXiv preprint arXiv:1912.09274, 2019 | 2 | 2019 |
| Learning a robust shape parameter for RBF approximation MH Veiga, FN Mojarrad, FN Mojarrad arXiv preprint arXiv:2408.05081, 2024 | 1 | 2024 |
| 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 |
| Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality FG Ged, MH Veiga Journal of Machine Learning Research 25 (308), 1-52, 2024 | | 2024 |
Remi AbgrallUniverstät ZürichVerified email at math.uzh.ch
