Zobrazeno 1 - 10
of 6 442
pro vyhledávání: '"A. Ginter"'
Autor:
Spieker, M., Bazin, D., Biswas, S., Cottle, P. D., Farris, P. J., Gade, A., Ginter, T., Giraud, S., Kemper, K. W., Li, J., Noji, S., Pereira, J., Riley, L. A., Smith, M. K., Weisshaar, D., Zegers, R. G. T.
Publikováno v:
Phys. Rev. C 109, 014307 (2024)
We report new experimental data for excited states of $^{72,74}$Se obtained from proton removal from $^{73,75}$Br secondary beams on a proton target. The experiments were performed with the Ursinus-NSCL Liquid Hydrogen Target and the combined GRETINA
Externí odkaz:
http://arxiv.org/abs/2411.09835
We propose considering Quantum Key Distribution (QKD) protocols as a use case for Quantum Machine Learning (QML) algorithms. We define and investigate the QML task of optimizing eavesdropping attacks on the quantum circuit implementation of the BB84
Externí odkaz:
http://arxiv.org/abs/2410.01904
Autor:
Poirier-Ginter, Yohan, Gauthier, Alban, Philip, Julien, Lalonde, Jean-Francois, Drettakis, George
Publikováno v:
Computer Graphics Forum, Volume 43 (2024), Number 4
Relighting radiance fields is severely underconstrained for multi-view data, which is most often captured under a single illumination condition; It is especially hard for full scenes containing multiple objects. We introduce a method to create religh
Externí odkaz:
http://arxiv.org/abs/2409.08947
Scientific text is a promising source of data in materials science, with ongoing research into utilising textual data for materials discovery. In this study, we developed and tested a novel approach to extract material-property relationships from sci
Externí odkaz:
http://arxiv.org/abs/2405.15290
Autor:
Luukkonen, Risto, Komulainen, Ville, Luoma, Jouni, Eskelinen, Anni, Kanerva, Jenna, Kupari, Hanna-Mari, Ginter, Filip, Laippala, Veronika, Muennighoff, Niklas, Piktus, Aleksandra, Wang, Thomas, Tazi, Nouamane, Scao, Teven Le, Wolf, Thomas, Suominen, Osma, Sairanen, Samuli, Merioksa, Mikko, Heinonen, Jyrki, Vahtola, Aija, Antao, Samuel, Pyysalo, Sampo
Large language models (LLMs) excel in many tasks in NLP and beyond, but most open models have very limited coverage of smaller languages and LLM work tends to focus on languages where nearly unlimited data is available for pretraining. In this work,
Externí odkaz:
http://arxiv.org/abs/2311.05640
Relation Extraction (RE) remains a challenging task, especially when considering realistic out-of-domain evaluations. One of the main reasons for this is the limited training size of current RE datasets: obtaining high-quality (manually annotated) da
Externí odkaz:
http://arxiv.org/abs/2305.11016
Most research in Relation Extraction (RE) involves the English language, mainly due to the lack of multi-lingual resources. We propose Multi-CrossRE, the broadest multi-lingual dataset for RE, including 26 languages in addition to English, and coveri
Externí odkaz:
http://arxiv.org/abs/2305.10985
Autor:
Spieker, M., Agbemava, S. E., Bazin, D., Cottle, S. Biswas P. D., Farris, P. J., Gade, A., Ginter, T., Giraud, S., Kemper, K. W., Li, J., Nazarewicz, W., Noji, S., Pereira, J., Riley, L. A., Smith, M., Weisshaar, D., Zegers, R. G. T.
In the Ge-Sr mass region, isotopes with neutron number $N \leq 40$ are known to feature rapid shape changes with both nucleon number and angular momentum. To gain new insights into their structure, inelastic proton scattering experiments in inverse k
Externí odkaz:
http://arxiv.org/abs/2304.14246
Publikováno v:
Journal of Plant Protection Research, Vol vol. 64, Iss No 3, Pp 298-306 (2024)
The aim of this study conducted in 2018–2020 was to determine the effect of biostimulants and herbicide Avatar 293 ZC on the occurrence of external and internal defects and small tubers in the potato yield. The edible cultivars evaluated were Obero
Externí odkaz:
https://doaj.org/article/072512daea5e4916861e8917bbc19924
Autor:
Kirsten A. Porter-Stransky, Karen J. Horneffer-Ginter, Laura D. Bauler, Kristine M. Gibson, Christopher M. Haymaker, Maggie Rothney
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Psychological safety is a team-based phenomenon whereby group members are empowered to ask questions, take appropriate risks, admit mistakes, propose novel ideas, and candidly voice concerns. Growing research supports the benefits
Externí odkaz:
https://doaj.org/article/2ea78fbaeee741d58e0d35630176b4b3