Zobrazeno 1 - 10
of 23 965
pro vyhledávání: '"Koen D'havé"'
Autor:
Gipiškis, Rokas, Joaquin, Ayrton San, Chin, Ze Shen, Regenfuß, Adrian, Gil, Ariel, Holtman, Koen
There is an urgent need to identify both short and long-term risks from newly emerging types of Artificial Intelligence (AI), as well as available risk management measures. In response, and to support global efforts in regulating AI and writing safet
Externí odkaz:
http://arxiv.org/abs/2410.23472
Autor:
Decancq, Koen, Jorda, Vanesa
We employ a flexible parametric model to estimate global income, health, and education distributions from 1980 to 2015. Using these marginal distributions within a copula-based framework, we construct a global joint distribution of well-being. This a
Externí odkaz:
http://arxiv.org/abs/2410.22892
Accurate economic simulations often require many experimental runs, particularly when combined with reinforcement learning. Unfortunately, training reinforcement learning agents in multi-agent economic environments can be slow. This paper introduces
Externí odkaz:
http://arxiv.org/abs/2410.22165
In the long-wavelength limit, Bloch-band Berry curvature has no effect on the bulk plasmons of a two-dimensional electron system. In this Letter we show instead that bulk plasmons are a probe of real-space topology. In particular, we focus on orbital
Externí odkaz:
http://arxiv.org/abs/2410.18025
Autor:
de Vos, Koen, Torta, Elena, Bruyninckx, Herman, Martinez, Cesar Lopez, van de Molengraft, Rene
This paper presents a framework for multi-agent navigation in structured but dynamic environments, integrating three key components: a shared semantic map encoding metric and semantic environmental knowledge, a claim policy for coordinating access to
Externí odkaz:
http://arxiv.org/abs/2410.12651
Autor:
Hu, Xiaoling, Gopinath, Karthik, Liu, Peirong, Hoffmann, Malte, Van Leemput, Koen, Puonti, Oula, Iglesias, Juan Eugenio
Over recent years, deep learning based image registration has achieved impressive accuracy in many domains, including medical imaging and, specifically, human neuroimaging with magnetic resonance imaging (MRI). However, the uncertainty estimation ass
Externí odkaz:
http://arxiv.org/abs/2410.09299
Autor:
Ozturk, Dilan, Saraber, Pepijn, Bielawski, Kevin, Giudici, Alessandro, Schurgers, Leon, Reesink, Koen, Schoukens, Maarten
Publikováno v:
2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
Biological tissue integrity is actively maintained by cells. It is essential to comprehend how cells accomplish this in order to stage tissue diseases. However, addressing the complexity of a cell's system of interrelated mechanisms poses a challenge
Externí odkaz:
http://arxiv.org/abs/2409.16825
Autor:
Niu, Jiasen, Larrazabal, Maialen Ortego, Gozlinski, Thomas, Sato, Yudai, Bastiaans, Koen M., Benschop, Tjerk, Ge, Jian-Feng, Blanter, Yaroslav M., Gu, Genda, Swart, Ingmar, Allan, Milan P.
The pseudogap stands out in the phase diagram of the cuprate high-temperature superconductors because its origin and relationship to superconductivity remain elusive. The origin of the pseudogap has been debated, with competing hypotheses attributing
Externí odkaz:
http://arxiv.org/abs/2409.15928
Autor:
Fortuna, Maria Cristina, Dvornik, Andrej, Hoekstra, Henk, Chisari, Nora Elisa, Asgari, Marika, Bilicki, Maciej, Heymans, Catherine, Hildebrandt, Hendrik, Kuijken, Koen, Wright, Angus H., Yao, Ji
We study the properties of the Luminous Red Galaxies (LRGs) selected from the 4th data release of the Kilo Degree Survey (KiDS-1000) via galaxy-galaxy lensing of the background galaxies from KiDS-1000. We use a halo model formalism to interpret our m
Externí odkaz:
http://arxiv.org/abs/2409.15416
We introduce a novel strategy for multi-robot sorting of waste objects using Reinforcement Learning. Our focus lies on finding optimal picking strategies that facilitate an effective coordination of a multi-robot system, subject to maximizing the was
Externí odkaz:
http://arxiv.org/abs/2409.13511