Maria Han Veiga

23 papers A* 1Journal 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning a robust shape parameter for RBF approximation.
Appl. Math. Comput.
Maria Han Veiga, Faezeh Nassajian Mojarrad, Fatemeh Nassajian Mojarrad
2026 J jnl
Low-rank approximation of Rippa method for RBF interpolation.
CoRR
Jiawen Lyu, Maria Han Veiga
2025 J jnl
Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study.
CoRR
Franck Gabriel, François Ged, Maria Han Veiga, Emmanuel Schertzer
2024 J jnl
Learning a robust shape parameter for RBF approximation.
CoRR
Maria Han Veiga, Fatemeh Nassajian Mojarrad
2024 J jnl
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality.
J. Mach. Learn. Res.
François Gaston Ged, Maria Han Veiga
2024 J jnl
On improving the efficiency of ADER methods.
Appl. Math. Comput.
Maria Han Veiga, Lorenzo Micalizzi, Davide Torlo
2023 J jnl
A new variable shape parameter strategy for RBF approximation using neural networks.
Comput. Math. Appl.
Fatemeh Nassajian Mojarrad, Maria Han Veiga, Jan S. Hesthaven, Philipp Öffner
2023 J jnl
An Interdisciplinary Outlook on Large Language Models for Scientific Research.
CoRR
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
2023 J jnl
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality.
CoRR
François Ged, Maria Han Veiga
2023 J jnl
On improving the efficiency of ADER methods.
CoRR
Maria Han Veiga, Lorenzo Micalizzi, Davide Torlo
2022 J jnl
A new variable shape parameter strategy for RBF approximation using neural networks.
CoRR
Fatemeh Nassajian Mojarrad, Maria Han Veiga, Jan S. Hesthaven, Philipp Öffner
2021 J jnl
An arbitrary high-order Spectral Difference method for the induction equation.
J. Comput. Phys.
Maria Han Veiga, David A. Velasco-Romero, Quentin Wenger, Romain Teyssier
2021 J jnl
DeC and ADER: Similarities, Differences and a Unified Framework.
J. Sci. Comput.
Maria Han Veiga, Philipp Öffner, Davide Torlo
2021 J jnl
Reconstruction of the Density Power Spectrum from Quasar Spectra using Machine Learning.
CoRR
Maria Han Veiga, Xi Meng, Oleg Y. Gnedin, Nickolay Y. Gnedin, Xun Huan
2020 J jnl
An arbitrary high-order Spectral Difference method for the induction equation.
CoRR
Maria Han Veiga, David A. Velasco-Romero, Quentin Wenger, Romain Teyssier
2020 J jnl
DeC and ADER: Similarities, Differences and an Unified Framework.
CoRR
Maria Han Veiga, Philipp Öffner, Davide Torlo
2019 J jnl
Neural network based limiter with transfer learning.
CoRR
Maria Han Veiga, Rémi Abgrall
2019 J jnl
What Do Language Representations Really Represent?
Comput. Linguistics
Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein
2019 J jnl
What do Language Representations Really Represent?
CoRR
Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein
2018 J jnl
Capturing near-equilibrium solutions: a comparison between high-order Discontinuous Galerkin methods and well-balanced schemes.
CoRR
Maria Han Veiga, Rémi Abgrall, Romain Teyssier
2016 A* conf
A Cross-Platform Collection of Social Network Profiles.
SIGIR
Maria Han Veiga, Carsten Eickhoff
2016 J jnl
A Cross-Platform Collection of Social Network Profiles.
CoRR
Maria Han Veiga, Carsten Eickhoff
2016 J jnl
Privacy Leakage through Innocent Content Sharing in Online Social Networks.
CoRR
Maria Han Veiga, Carsten Eickhoff