26 citations · 69 across the 11 of their papers we have counts for
11 papers
On improving the efficiency of ADER methods
Maria Han Veiga, Lorenzo Micalizzi, Davide Torlo
The (modern) arbitrary derivative (ADER) approach is a popular technique for the numerical solution of differential problems based on iteratively solving an implicit discretization…
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality
François Ged, Maria Han Veiga
A novel Policy Gradient (PG) algorithm, called (MPG), is introduced and studied, in the context of fixed-horizon max-entropy reinforcement lea…
A new variable shape parameter strategy for RBF approximation using neural networks
Fatemeh Nassajian Mojarrad, Maria Han Veiga, Jan S. Hesthaven +1
The choice of the shape parameter highly effects the behaviour of radial basis function (RBF) approximations, as it needs to be selected to balance between ill-condition of the int…
Spectral Difference method with a posteriori limiting: Application to the Euler equations in one and two space dimensions
David Velasco-Romero, Maria Han Veiga, Romain Teyssier
We present a new numerical scheme which combines the Spectral Difference (SD) method up to arbitrary high order with \emph{a-posteriori} limiting using the classical MUSCL-Hancock…
Reconstruction of the Density Power Spectrum from Quasar Spectra using Machine Learning
Maria Han Veiga, Xi Meng, Oleg Y. Gnedin +2
We describe a novel end-to-end approach using Machine Learning to reconstruct the power spectrum of cosmological density perturbations at high redshift from observed quasar spectra…
An arbitrary high-order Spectral Difference method for the induction equation
Maria Han Veiga, David A Velasco-Romero, Quentin Wenger +1
We study in this paper three variants of the high-order Discontinuous Galerkin (DG) method with Runge-Kutta (RK) time integration for the induction equation, analysing their abilit…
What do Language Representations Really Represent?
Johannes Bjerva, Robert Östling, Maria Han Veiga +2
A neural language model trained on a text corpus can be used to induce distributed representations of words, such that similar words end up with similar representations. If the cor…
Planet-disc interactions with Discontinuous Galerkin Methods using GPUs
David A. Velasco-Romero, Maria Han Veiga, Romain Teyssier +1
We present a two-dimensional Cartesian code based on high order discontinuous Galerkin methods, implemented to run in parallel over multiple GPUs. A simple planet-disc setup is use…
Capturing near-equilibrium solutions: a comparison between high-order discontinuous Galerkin methods and well-balanced schemes
Maria Han Veiga, David A. Romero Velasco, Rémi Abgrall +1
Equilibrium or stationary solutions usually proceed through the exact balance between hyperbolic transport terms and source terms. Such equilibrium solutions are affected by trunca…
A Cross-Platform Collection of Social Network Profiles
Maria Han Veiga, Carsten Eickhoff
The proliferation of Internet-enabled devices and services has led to a shifting balance between digital and analogue aspects of our everyday lives. In the face of this development…
Privacy Leakage through Innocent Content Sharing in Online Social Networks
Maria Han Veiga, Carsten Eickhoff
The increased popularity and ubiquitous availability of online social networks and globalised Internet access have affected the way in which people share content. The information t…