14 citations · 17 across the 4 of their papers we have counts for
7 papers
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…