Zobrazeno 1 - 10
of 11 245
pro vyhledávání: '"A. Barthélemy"'
Autor:
S. Allende, A. M. Treguier, C. Lique, C. de Boyer Montégut, F. Massonnet, T. Fichefet, A. Barthélemy
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 7445-7466 (2024)
We evaluate the vertical turbulent-kinetic-energy (TKE) mixing scheme of the NEMO-SI3 ocean–sea-ice model in sea-ice-covered regions of the Arctic Ocean. Specifically, we assess the parameters involved in TKE mixed-layer-penetration (MLP) parameter
Externí odkaz:
https://doaj.org/article/c1c0a0e6caaa4dd3ac8eddf0d0b9b3ef
Publikováno v:
The Cryosphere, Vol 18, Pp 3825-3839 (2024)
Understanding the variability of Antarctic sea ice is still a challenge. After decades of modest growth, an unprecedented minimum in the sea ice extent (SIE) was registered in summer 2017, and, following years of anomalously low SIE, a new record was
Externí odkaz:
https://doaj.org/article/4bbccc8bbcd543e4a929e105f8a3d262
Current large open vision models could be useful for one and few-shot object recognition. Nevertheless, gradient-based re-training solutions are costly. On the other hand, open-vocabulary object detection models bring closer visual and textual concep
Externí odkaz:
http://arxiv.org/abs/2410.16028
Autor:
Barthelemy, Marc
We introduce a novel metric to quantify the fragility of chess positions using the interaction graph of pieces. This fragility score $F$ captures the tension within a position and serves as a strong indicator of tipping points in a game. In well-know
Externí odkaz:
http://arxiv.org/abs/2410.02333
Recent studies have showcased remarkable capabilities of decoder-only models in many NLP tasks, including translation. Yet, the machine translation field has been largely dominated by encoder-decoder models based on the Transformer architecture. As a
Externí odkaz:
http://arxiv.org/abs/2409.15051
Autor:
Barthelemy, Marc, Boeing, Geoff
Publikováno v:
Findings. 2024 Aug 13
We review measures of street network structure proposed in the recent literature, establish their relevance to practice, and identify open challenges facing researchers. These measures' empirical values vary substantially across world regions and dev
Externí odkaz:
http://arxiv.org/abs/2409.08016
Autor:
Gravier, Julie, Barthelemy, Marc
Publikováno v:
Nature Cities, Volume 1 September 2024, 567-575
Contemporary literature on the dynamics of economic activities in growing cities mainly focused on a few years or decades time frames. Using a new geo-historical database constructed from historical directories with about 1 million entries, we presen
Externí odkaz:
http://arxiv.org/abs/2409.03263
Current artificial neural networks are trained with parameters encoded as floating point numbers that occupy lots of memory space at inference time. Due to the increase in the size of deep learning models, it is becoming very difficult to consider tr
Externí odkaz:
http://arxiv.org/abs/2408.04460
Autor:
Benne, B., Benmahi, B., Dobrijevic, M., Cavalié, T., Loison, J-C., Hickson, K. M., Barthélémy, M., Lilensten, J.
Publikováno v:
A&A, 686 (2024) A22
Due to its inclined orbit and the complex geometry of the magnetic field of Neptune, Triton experiences a highly variable magnetic environment. As precipitation of magnetospheric electrons is thought to have a large impact on the Triton atmosphere, a
Externí odkaz:
http://arxiv.org/abs/2407.16549
Quantum mechanics is an integral course for physics students. An understanding of quantum concepts is imperative for enrollment in physics graduate programs, participating in research within physics-fields, and employment at companies developing quan
Externí odkaz:
http://arxiv.org/abs/2407.15977