Gazaille, Mariane Di Pardo Léon-Henri, Dana Nolin, Andréanne Gendron Perrault, Noémie
Artificial intelligence (AI) has developed dramatically in recent decades. Its use has been unprecedented in various disciplines and fields such as: data science, information science, online marketing and data mining from the development of various platforms, as well as in the area of “connected’ objects. Since the advent of AI, we have been moving...
Jess, David B. Jafarzadeh, Shahin Keys, Peter H. Stangalini, Marco Verth, Gary Grant, Samuel D. T.
Waves and oscillations have been observed in the Sun's atmosphere for over half a century. While such phenomena have readily been observed across the entire electromagnetic spectrum, spanning radio to gamma-ray sources, the underlying role of waves in the supply of energy to the outermost extremities of the Sun's corona has yet to be uncovered. Of ...
Delva, Pacôme Altamimi, Zuheir Blazquez, Alejandro Blossfeld, Mathis Böhm, Johannes Bonnefond, Pascal Boy, Jean-Paul Bruinsma, Sean Bury, Grzegorz Chatzinikos, Miltiadis
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Improving and homogenizing time and space reference systems on Earth and, more directly, realizing the Terrestrial Reference Frame (TRF) with an accuracy of 1mm and a long-term stability of 0.1mm/year are relevant for many scientific and societal endeavors. The knowledge of the TRF is fundamental for Earth and navigation sciences. For instance, qua...
Gadal, Sébastien Gloaguen, Thomas
The political, economic, and social changes associated with the collapse of the Soviet Union at the end of the 1980s led to major land cover and land-use changes in the southeastern Baltic Sea coastal regions. These changes (demilitarization of the coasts, end of collective ownership, specialization of economic activities, etc.) are characterized b...
Fleurbaey, Marc Ponthière, Grégory
The stakeholder (or responsible) firm is defined in this paper as one that maximizes the (weighted or unweighted) sum of the surpluses of its customers and suppliers (including workers). We show that, although this objective is hard to empirically measure, it can be pursued by simple management rules that rely on constrained profit maximization. We...
Théate, Thibaut Wehenkel, Antoine Bolland, Adrien Louppe, Gilles Ernst, Damien
peer reviewed / The distributional reinforcement learning (RL) approach advocates for representing the complete probability distribution of the random return instead of only modelling its expectation. A distributional RL algorithm may be characterised by two main components, namely the representation of the distribution together with its parameteri...
Enderle, Isabelle Lauzun, Virginie De Metten, Marie-Astrid Monperrus, Marion Delva, Fleur Blanc-Petitjean, Pauline Dananche, Brigitte Paris, Christophe Zaros, Cecile Le Lous, Maela
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BACKGROUND: In developed countries, about 15% of women are occupationally exposed to solvents. Associations between this maternal occupational exposure and intrauterine fetal growth are inconsistent, but almost no existing study has investigated this relation by solvent family (oxygenated, petroleum, and chlorinated), although they may affect fetal...
Sultana, Robin Poch, Olivier Beck, Pierre Schmitt, Bernard Quirico, Eric Spadaccia, Stefano Patty, Lucas Pommerol, Antoine Maturilli, Alessandro Helbert, Jörn
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There are various indications that the most primitive small bodies (P, D-type asteroids, comets) have surfaces made of intimate mixtures of opaque minerals and other components (silicates, carbonaceous compounds, etc.) in the form of sub-micrometre-sized grains, smaller than the wavelength at which they are observed, so-called hyperfine grains. Her...
谢, 卓瑄 陈, 保义
Published in
Chinese Physics C
We treat heavy quark as an open quantum system in a hot medium and rederive the stochastic Schrödinger equation (SSE) from the full Schrödinger equation for both heavy quarks and the medium. We apply the SSE to the dynamical evolutions of a heavy quark (as a system) in the static hot medium (as an environment). Heavy quarks interact with the medium...
Michaud, Félix Sueur, Jérôme Cesne, Maxime Le Haupert, Sylvain
Open audio databases such as Xeno-Canto are widely used to build datasets to explore bird song repertoire or to train models for automatic bird sound classification by deep learning algorithms. However, such databases suffer from the fact that bird sounds are weakly labelled: a species name is attributed to each audio recording without timestamps t...