Zobrazeno 1 - 10
of 169 593
pro vyhledávání: '"Hervé This"'
Autor:
Raphaël Monod, Sylvie Clerjon, Cécile Leroy, Chantal Septier, Bérénice Houinsou-Houssou, Hervé This, Christian Salles, Thierry Thomas-Danguin
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102666- (2024)
Domestic-oriented research focusing on food requires methodologies that closely mimic practices occurring in home kitchens while meeting scientific standards. Currently however, there is a lack of methodologies that can be implemented in both laborat
Externí odkaz:
https://doaj.org/article/bfa356c391334bdb9d2303eb43b1e505
The unique experimental connection to the QCD energy-momentum tensor offered by generalised parton distributions has been strongly highlighted in the past few years with attempts to extract the pressure and shear forces distributions within the nucle
Externí odkaz:
http://arxiv.org/abs/2410.13518
Autor:
Graët, Jean Le, Secroun, Aurélia, Tourneur-Silvain, Marie, Kajfasz, Éric, Atteia, Jean-Luc, Boulade, Olivier, de la Flèche, Alix Nouvel, Geoffray, Hervé, Gillard, William, Escoffier, Stéphanie, Fortin, Francis, Fourmanoit, Nicolas, Kermiche, Smaïn, Valentin, Hervé, Zoubian, Julien
Publikováno v:
Proceedings Volume 13103, X-Ray, Optical, and Infrared Detectors for Astronomy XI; 131031W (2024)
With the expanding integration of infrared instruments in astronomical missions, accurate per-pixel flux estimation for near-infrared hybrid detectors has become critical to the success of these missions. Based on CPPM's involvement in both SVOM/Coli
Externí odkaz:
http://arxiv.org/abs/2409.03374
Track finding can be considered as a complex optimization problem initially introduced in particle physics involving the reconstruction of particle trajectories. A track is typically composed of several consecutive segments (track segments) that rese
Externí odkaz:
http://arxiv.org/abs/2410.18552
Autor:
Fortin, Francis, Atteia, Jean-Luc, de la Flèche, Alix Nouvel, Valentin, Hervé, Boulade, Olivier, Corre, David, Turpin, Damien, Secroun, Aurélia, Basa, Stéphane, Dolon, François, Floriot, Johan, Lombardo, Simona, Borgne, Jean-François Le, Watson, Alan M., Lee, William H.
Context. Transient sky astronomy is entering a new era with the advent of the SVOM mission (Space Variable Objects Monitor), which was successfully launched on the 26th of June, 2024. The primary goal of SVOM is to monitor the hard X-ray sky searchin
Externí odkaz:
http://arxiv.org/abs/2410.16979
Autor:
Gustafsson, Ove Johan Ragnar, Wilkinson, Sean R., Bacall, Finn, Pireddu, Luca, Soiland-Reyes, Stian, Leo, Simone, Owen, Stuart, Juty, Nick, Fernández, José M., Grüning, Björn, Brown, Tom, Ménager, Hervé, Capella-Gutierrez, Salvador, Coppens, Frederik, Goble, Carole
The rising popularity of computational workflows is driven by the need for repetitive and scalable data processing, sharing of processing know-how, and transparent methods. As both combined records of analysis and descriptions of processing steps, wo
Externí odkaz:
http://arxiv.org/abs/2410.06941
Publikováno v:
IEEE International Symposium on Antennas and Propagation and INC/USNC-URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Jul 2024, Florence, Italy. pp.91-92
In this paper, we report the long-range and wireless interrogation of multiple chipless sensors from the isoline processing of three-dimensional polarimetric radar images. A Frequency-Modulated Continuous-Wave Radar operating at 24 GHz is used for th
Externí odkaz:
http://arxiv.org/abs/2410.05866
We address the problem of extending a pretrained large language model to a new domain that was not seen at training time, like adding a language for which the original model has seen no or little training data. Popular solutions like fine-tuning or l
Externí odkaz:
http://arxiv.org/abs/2410.02744
Autor:
Fang, Chenhao, Larson, Derek, Zhu, Shitong, Zeng, Sophie, Summer, Wendy, Peng, Yanqing, Hulovatyy, Yuriy, Rao, Rajeev, Forgues, Gabriel, Pudota, Arya, Goncalves, Alex, Robert, Hervé
This paper presents new methods that have the potential to improve privacy process efficiency with LLM and RAG. To reduce hallucination, we continually pre-train the base LLM model with a privacy-specific knowledge base and then augment it with a sem
Externí odkaz:
http://arxiv.org/abs/2410.02825
Foundation models such as the recently introduced Segment Anything Model (SAM) have achieved remarkable results in image segmentation tasks. However, these models typically require user interaction through handcrafted prompts such as bounding boxes,
Externí odkaz:
http://arxiv.org/abs/2409.20293