Zobrazeno 1 - 10
of 7 563
pro vyhledávání: '"Geoffroy P"'
Autor:
Conor Hogan, Andrea Sette, Vasil A. Saroka, Stefano Colonna, Roberto Flammini, Laurita Florean, Romain Bernard, Laurence Masson, Geoffroy Prévot, Fabio Ronci
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Silicon surface alloys and silicide nanolayers are highly important as contact materials in integrated circuit devices. Here we demonstrate that the submonolayer Si/Ag(001) surface reconstruction, reported to exhibit interesting topological
Externí odkaz:
https://doaj.org/article/ca6d0e0fd4fc49a488d27d7e24947ad9
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract The epitaxial growth of silicene has been the subject of many investigations, controversies and non-classical results. In particular, the initially promising deposition of Si on a metallic substrate such as Ag(111) has revealed unexpected gr
Externí odkaz:
https://doaj.org/article/370fc9755f2e486e82eab0dc1432f97f
Autor:
Geoffroy Poulet, Jean-Sébastien Hulot, Anne Blanchard, Damien Bergerot, Wenjin Xiao, Frederic Ginot, Audrey Boutonnet-Rodat, Abdelli Justine, Guillaume Beinse, Vanna Geromel, Laurence Pellegrina, Michel Azizi, Pierre Laurent-Puig, Leonor Benhaim, Valerie Taly
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract In the last decade, clinical studies have investigated the clinical relevance of circulating cell-free-DNA (ccfDNA) as a diagnostic and prognosis tool in various diseases including cancers. However, limited knowledge on ccfDNA biology restra
Externí odkaz:
https://doaj.org/article/1023306ad2ac4a30b7b4267a107f21d3
Publikováno v:
Frontiers in Education, Vol 8 (2024)
Externí odkaz:
https://doaj.org/article/ed281e000ba64955825d40da87791f0e
In this paper, we tackle the task of musical stem retrieval. Given a musical mix, it consists in retrieving a stem that would fit with it, i.e., that would sound pleasant if played together. To do so, we introduce a new method based on Joint-Embeddin
Externí odkaz:
http://arxiv.org/abs/2411.19806
Autor:
Pandey, Karran, Gadelha, Matheus, Hold-Geoffroy, Yannick, Singh, Karan, Mitra, Niloy J., Guerrero, Paul
Predicting diverse object motions from a single static image remains challenging, as current video generation models often entangle object movement with camera motion and other scene changes. While recent methods can predict specific motions from mot
Externí odkaz:
http://arxiv.org/abs/2412.00148
Autor:
Oudoumanessah, Geoffroy, Coudert, Thomas, Meyer, Luc, Delphin, Aurelien, Dojat, Michel, Lartizien, Carole, Forbes, Florence
With the rapid advancements in medical data acquisition and production, increasingly richer representations exist to characterize medical information. However, such large-scale data do not usually meet computing resource constraints or algorithmic co
Externí odkaz:
http://arxiv.org/abs/2411.07415
Using log-geometry, we construct a model for the configuration category of a smooth algebraic variety. As an application, we prove the formality of certain configuration spaces.
Comment: 20 pages
Comment: 20 pages
Externí odkaz:
http://arxiv.org/abs/2411.06934
Publikováno v:
ISMIR 2024, Nov 2024, San Francisco, Californ, United States
In this paper, we propose a novel Self-Supervised-Learning scheme to train rhythm analysis systems and instantiate it for few-shot beat tracking. Taking inspiration from the Contrastive Predictive Coding paradigm, we propose to train a Log-Mel-Spectr
Externí odkaz:
http://arxiv.org/abs/2411.04152
In this study, we present the integration of a neural network-based parameterization into the global atmospheric model ARP-GEM1, leveraging the Python interface of the OASIS coupler. This approach facilitates the exchange of fields between the Fortra
Externí odkaz:
http://arxiv.org/abs/2410.21920