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ORCIDMaria Han Veiga
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2020 – today
- 2024
[j5]Maria Han Veiga, Lorenzo Micalizzi
, Davide Torlo:
On improving the efficiency of ADER methods. Appl. Math. Comput. 466: 128426 (2024)- [i13]Maria Han Veiga, Fatemeh Nassajian Mojarrad:
Learning a robust shape parameter for RBF approximation. CoRR abs/2408.05081 (2024) - 2023
- [j4]Fatemeh Nassajian Mojarrad, Maria Han Veiga, Jan S. Hesthaven, Philipp Öffner:
A new variable shape parameter strategy for RBF approximation using neural networks. Comput. Math. Appl. 143: 151-168 (2023) - [i12]François Ged, Maria Han Veiga:
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality. CoRR abs/2303.12785 (2023) - [i11]Maria Han Veiga, Lorenzo Micalizzi, Davide Torlo:
On improving the efficiency of ADER methods. CoRR abs/2305.13065 (2023) - [i10]James Boyko, Joseph Cohen, Nathan Fox, Maria Han Veiga, Jennifer I-Hsiu Li, Jing Liu, Bernardo Modenesi, Andreas H. Rauch, Kenneth N. Reid, Soumi Tribedi, Anastasia Visheratina, Xin Xie:
An Interdisciplinary Outlook on Large Language Models for Scientific Research. CoRR abs/2311.04929 (2023) - 2022
- [i9]Fatemeh Nassajian Mojarrad, Maria Han Veiga, Jan S. Hesthaven, Philipp Öffner:
A new variable shape parameter strategy for RBF approximation using neural networks. CoRR abs/2210.16945 (2022) - 2021
- [j3]Maria Han Veiga, David A. Velasco-Romero, Quentin Wenger, Romain Teyssier:
An arbitrary high-order Spectral Difference method for the induction equation. J. Comput. Phys. 438: 110327 (2021) - [j2]Maria Han Veiga, Philipp Öffner, Davide Torlo:
DeC and ADER: Similarities, Differences and a Unified Framework. J. Sci. Comput. 87(1): 2 (2021) - [i8]Maria Han Veiga, Xi Meng, Oleg Y. Gnedin, Nickolay Y. Gnedin, Xun Huan:
Reconstruction of the Density Power Spectrum from Quasar Spectra using Machine Learning. CoRR abs/2107.09082 (2021) - 2020
- [i7]Maria Han Veiga, Philipp Öffner, Davide Torlo:
DeC and ADER: Similarities, Differences and an Unified Framework. CoRR abs/2002.11764 (2020) - [i6]Maria Han Veiga, David A. Velasco-Romero, Quentin Wenger, Romain Teyssier:
An arbitrary high-order Spectral Difference method for the induction equation. CoRR abs/2005.13563 (2020)
2010 – 2019
- 2019
- [j1]Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein:
What Do Language Representations Really Represent? Comput. Linguistics 45(2): 381-389 (2019) - [i5]Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein:
What do Language Representations Really Represent? CoRR abs/1901.02646 (2019) - [i4]Maria Han Veiga, Rémi Abgrall:
Neural network based limiter with transfer learning. CoRR abs/1912.09274 (2019) - 2018
- [i3]Maria Han Veiga, Rémi Abgrall, Romain Teyssier:
Capturing near-equilibrium solutions: a comparison between high-order Discontinuous Galerkin methods and well-balanced schemes. CoRR abs/1803.05919 (2018) - 2016
- [c1]Maria Han Veiga, Carsten Eickhoff:
A Cross-Platform Collection of Social Network Profiles. SIGIR 2016: 665-668 - [i2]Maria Han Veiga, Carsten Eickhoff:
Privacy Leakage through Innocent Content Sharing in Online Social Networks. CoRR abs/1607.02714 (2016) - [i1]Maria Han Veiga, Carsten Eickhoff:
A Cross-Platform Collection of Social Network Profiles. CoRR abs/1607.03274 (2016)
Coauthor Index
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