Zobrazeno 1 - 10
of 38 263
pro vyhledávání: '"A Cyrille"'
Autor:
Alshehri, Azzah, Bürger, Jan, Chopra, Saransh, Eich, Niclas, Eppelt, Jonas, Erdmann, Martin, Eschle, Jonas, Fackeldey, Peter, Farkas, Maté, Feickert, Matthew, Fillinger, Tristan, Fischer, Benjamin, Gerlach, Lino Oscar, Hartmann, Nikolai, Heidelbach, Alexander, Held, Alexander, Ivanov, Marian I, Molina, Josué, Nikitenko, Yaroslav, Osborne, Ianna, Padulano, Vincenzo Eduardo, Pivarski, Jim, Praz, Cyrille, Rieger, Marcel, Rodrigues, Eduardo, Shadura, Oksana, Smieško, Juraj, Stark, Giordon Holtsberg, Steinfeld, Judith, Warkentin, Angela
The second PyHEP.dev workshop, part of the "Python in HEP Developers" series organized by the HEP Software Foundation (HSF), took place in Aachen, Germany, from August 26 to 30, 2024. This gathering brought together nearly 30 Python package developer
Externí odkaz:
http://arxiv.org/abs/2410.02112
We consider dijet production in deep inelastic scattering at small $x$, on a purely gluonic unpolarized target. Starting from earlier results obtained at next-to-eikonal accuracy in the high-energy limit, we perform the expansion in the back-to-back
Externí odkaz:
http://arxiv.org/abs/2410.00612
Autor:
de Gennes, Marc, Lesage, Adrien, Denais, Martin, Cao, Xuan-Nga, Chang, Simon, Van Remoortere, Pierre, Dakhlia, Cyrille, Riad, Rachid
Non-invasive methods for diagnosing mental health conditions, such as speech analysis, offer promising potential in modern medicine. Recent advancements in machine learning, particularly speech foundation models, have shown significant promise in det
Externí odkaz:
http://arxiv.org/abs/2409.19042
We introduce a novel embedding method diverging from conventional approaches by operating within function spaces of finite dimension rather than finite vector space, thus departing significantly from standard knowledge graph embedding techniques. Ini
Externí odkaz:
http://arxiv.org/abs/2409.14857
Purpose: The query language GraphQL has gained significant traction in recent years. In particular, it has recently gained the attention of the semantic web and graph database communities and is now often used as a means to query knowledge graphs. Mo
Externí odkaz:
http://arxiv.org/abs/2409.12646
Autor:
Srivastava, Nikit, Kuchelev, Denis, Ngoli, Tatiana Moteu, Shetty, Kshitij, Röder, Michael, Moussallem, Diego, Zahera, Hamada, Ngomo, Axel-Cyrille Ngonga
This paper presents LOLA, a massively multilingual large language model trained on more than 160 languages using a sparse Mixture-of-Experts Transformer architecture. Our architectural and implementation choices address the challenge of harnessing li
Externí odkaz:
http://arxiv.org/abs/2409.11272
Autor:
Saillard, Emile, Levillain, Aurélie, Mitton, David, Pialat, Jean-Baptiste, Confavreux, Cyrille, Follet, Hélène, Grenier, Thomas
Purpose: Bone metastasis have a major impact on the quality of life of patients and they are diverse in terms of size and location, making their segmentation complex. Manual segmentation is time-consuming, and expert segmentations are subject to oper
Externí odkaz:
http://arxiv.org/abs/2409.11011
Many modern applications of Bayesian inference, such as in cosmology, are based on complicated forward models with high-dimensional parameter spaces. This considerably limits the sampling of posterior distributions conditioned on observed data. In tu
Externí odkaz:
http://arxiv.org/abs/2409.09101
Autor:
Mendoza, Ismael, Torchylo, Andrii, Sainrat, Thomas, Guinot, Axel, Boucaud, Alexandre, Paillassa, Maxime, Avestruz, Camille, Adari, Prakruth, Aubourg, Eric, Biswas, Biswajit, Buchanan, James, Burchat, Patricia, Doux, Cyrille, Joseph, Remy, Kamath, Sowmya, Malz, Alex I., Merz, Grant, Miyatake, Hironao, Roucelle, Cécile, Zhang, Tianqing, Collaboration, the LSST Dark Energy Science
We present an open source Python library for simulating overlapping (i.e., blended) images of galaxies and performing self-consistent comparisons of detection and deblending algorithms based on a suite of metrics. The package, named Blending Toolkit
Externí odkaz:
http://arxiv.org/abs/2409.06986
Publikováno v:
The Semantic Web . ISWC 2022. ISWC 2022. Lecture Notes in Computer Science, vol 13489. Springer, Cham
We consider fact-checking approaches that aim to predict the veracity of assertions in knowledge graphs. Five main categories of fact-checking approaches for knowledge graphs have been proposed in the recent literature, of which each is subject to pa
Externí odkaz:
http://arxiv.org/abs/2409.06692