Zobrazeno 1 - 10
of 13 664
pro vyhledávání: '"Marone A"'
Autor:
Lautizi, Ginevra, Di Trapani, Vittorio, Studer, Alain, Zdora, Marie-Christine, De Marco, Fabio, Kim, Jisoo, Marone, Federica, Stampanoni, Marco, Thibault, Pierre
We demonstrate a robust signal extraction method for X-ray speckle-based tensor tomography. We validate the effectiveness of the method for several carbon fiber composites, highlighting its potential for industrial applications. The proposed method c
Externí odkaz:
http://arxiv.org/abs/2411.18482
Autor:
Syed, Usman, Cunico, Federico, Khan, Uzair, Radicchi, Eros, Setti, Francesco, Speghini, Adolfo, Marone, Paolo, Semenzin, Filiberto, Cristani, Marco
In this position paper, we propose an approach for sustainable data collection in the field of optimal mix design for marble sludge reuse. Marble sludge, a calcium-rich residual from stone-cutting processes, can be repurposed by mixing it with variou
Externí odkaz:
http://arxiv.org/abs/2411.13953
Autor:
Liu, Tianlin, Münchmeyer, Jannes, Laurenti, Laura, Marone, Chris, de Hoop, Maarten V., Dokmanić, Ivan
We introduce the Seismic Language Model (SeisLM), a foundational model designed to analyze seismic waveforms -- signals generated by Earth's vibrations such as the ones originating from earthquakes. SeisLM is pretrained on a large collection of open-
Externí odkaz:
http://arxiv.org/abs/2410.15765
Autor:
Lautizi, Ginevra, Studer, Alain, Zdora, Marie-Christine, De Marco, Fabio, Kim, Jisoo, Di Trapani, Vittorio, Marone, Federica, Thibault, Pierre, Stampanoni, Marco
Publikováno v:
Phys. Rev. Applied 22, 024031 (2024)
We present a versatile method for full-field, X-ray scattering tensor tomography that is based on energy conservation and is applicable to data obtained using different wavefront modulators. Using this algorithm, we pave the way for speckle-based ten
Externí odkaz:
http://arxiv.org/abs/2406.18680
Large language models (LLMs) are increasingly capable of completing knowledge intensive tasks by recalling information from a static pretraining corpus. Here we are concerned with LLMs in the context of evolving data requirements. For instance: batch
Externí odkaz:
http://arxiv.org/abs/2404.08417
To trust the fluent generations of large language models (LLMs), humans must be able to verify their correctness against trusted, external sources. Recent efforts, such as providing citations via retrieved documents or post-hoc provenance, enhance ve
Externí odkaz:
http://arxiv.org/abs/2404.03862
Autor:
Cheng, Jeffrey, Marone, Marc, Weller, Orion, Lawrie, Dawn, Khashabi, Daniel, Van Durme, Benjamin
Released Large Language Models (LLMs) are often paired with a claimed knowledge cutoff date, or the dates at which training data was gathered. Such information is crucial for applications where the LLM must provide up to date information. However, th
Externí odkaz:
http://arxiv.org/abs/2403.12958
Autor:
Kammer, David S., McLaskey, Gregory C., Abercrombie, Rachel E., Ampuero, Jean-Paul, Cattania, Camilla, Cocco, Massimo, Zilio, Luca Dal, Dresen, Georg, Gabriel, Alice-Agnes, Ke, Chun-Yu, Marone, Chris, Selvadurai, Paul A., Tinti, Elisa
Earthquakes are rupture-like processes that propagate along tectonic faults and cause seismic waves. The propagation speed and final area of the rupture, which determine an earthquake's potential impact, are directly related to the nature and quantit
Externí odkaz:
http://arxiv.org/abs/2403.06916
Autor:
Lozhkov, Anton, Li, Raymond, Allal, Loubna Ben, Cassano, Federico, Lamy-Poirier, Joel, Tazi, Nouamane, Tang, Ao, Pykhtar, Dmytro, Liu, Jiawei, Wei, Yuxiang, Liu, Tianyang, Tian, Max, Kocetkov, Denis, Zucker, Arthur, Belkada, Younes, Wang, Zijian, Liu, Qian, Abulkhanov, Dmitry, Paul, Indraneil, Li, Zhuang, Li, Wen-Ding, Risdal, Megan, Li, Jia, Zhu, Jian, Zhuo, Terry Yue, Zheltonozhskii, Evgenii, Dade, Nii Osae Osae, Yu, Wenhao, Krauß, Lucas, Jain, Naman, Su, Yixuan, He, Xuanli, Dey, Manan, Abati, Edoardo, Chai, Yekun, Muennighoff, Niklas, Tang, Xiangru, Oblokulov, Muhtasham, Akiki, Christopher, Marone, Marc, Mou, Chenghao, Mishra, Mayank, Gu, Alex, Hui, Binyuan, Dao, Tri, Zebaze, Armel, Dehaene, Olivier, Patry, Nicolas, Xu, Canwen, McAuley, Julian, Hu, Han, Scholak, Torsten, Paquet, Sebastien, Robinson, Jennifer, Anderson, Carolyn Jane, Chapados, Nicolas, Patwary, Mostofa, Tajbakhsh, Nima, Jernite, Yacine, Ferrandis, Carlos Muñoz, Zhang, Lingming, Hughes, Sean, Wolf, Thomas, Guha, Arjun, von Werra, Leandro, de Vries, Harm
The BigCode project, an open-scientific collaboration focused on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder2. In partnership with Software Heritage (SWH), we build The Stack v2 on top of the digita
Externí odkaz:
http://arxiv.org/abs/2402.19173
Autor:
Laura Laurenti, Gabriele Paoletti, Elisa Tinti, Fabio Galasso, Cristiano Collettini, Chris Marone
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract We use seismic waves that pass through the hypocentral region of the 2016 M6.5 Norcia earthquake together with Deep Learning (DL) to distinguish between foreshocks, aftershocks and time-to-failure (TTF). Binary and N-class models defined by
Externí odkaz:
https://doaj.org/article/1c1f1658ace14ea58f65e74faed99f17
