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Dynamic update of flow and transport parameters in reactive transport simulations of radioactive waste repositories
(Elsevier, 2020)
[Abstract:] The changes in porosity caused by mineral dissolution/precipitation and the associated changes in flow, transport and chemical parameters of porous and fractured media are relevant for the geochemical time-evolution ...
VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
(Association for Computing Machinery, 2023-11)
[Abstract]: The increasing success and scaling of Deep Learning models demands higher computational efficiency and power. Sparsification can lead to both smaller models as well as higher compute efficiency, and accelerated ...
Optimality of syntactic dependency distances
(American Physical Society, 2022-01)
[Abstract]: It is often stated that human languages, as other biological systems, are shaped by cost-cutting pressures but, to what extent? Attempts to quantify the degree of optimality of languages by means of an optimality ...
Transition-based Semantic Dependency Parsing with Pointer Networks
(Association for Computational Linguistics (ACL), 2020-07)
[Abstract]: Transition-based parsers implemented with Pointer Networks have become the new state of the art in dependency parsing, excelling in producing labelled syntactic trees and outperforming graph-based models in ...
Use of a numerical weather prediction model as a meteorological source for building thermal simulations
(Elsevier, 2020-07-15)
[Abstract]: Thermal simulations are a commonly used tool for energy efficiency analysis of buildings. Regional meteorological station networks are a prime source of weather data inputs, required for building thermal ...
Gaia Data Release 3: Chemical cartography of the Milky Way
(EDP Sciences, 2023-06)
[Abstract]: Context. The motion of stars has been used to reveal details of the complex history of the Milky Way, in constant interaction with its environment. Nevertheless, to reconstruct the Galactic history puzzle in ...
Gaia Data Release 3: Analysis of RVS spectra using the General Stellar Parametriser from spectroscopy
(EDP Sciences, 2023-06)
[Abstract]: Context. The chemo-physical parametrisation of stellar spectra is essential for understanding the nature and evolution of stars and of Galactic stellar populations. A worldwide observational effort from the ...
Gaia Data Release 3: Apsis. III. Non-stellar content and source classification
(EDP Sciences, 2023-06)
[Abstract]: Context. As part of the third Gaia Data Release, we present the contributions of the non-stellar and classification modules from the eighth coordination unit (CU8) of the Data Processing and Analysis Consortium, ...
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
(Elsevier, 2023-12)
[Abstract]: Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear ...
Gaia Data Release 3: The Galaxy in your preferred colours: Synthetic photometry from Gaia low-resolution spectra
(EDP Sciences, 2023-06)
[Abstract]: Gaia Data Release 3 provides novel flux-calibrated low-resolution spectrophotometry for '220 million sources in the wavelength range 330 nm ≤ λ ≤ 1050 nm (XP spectra). Synthetic photometry directly tied to a ...