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pro vyhledávání: '"P, Brown"'
Autor:
Brown, B. Alex, Gade, Alexandra, Stroberg, S. Ragnar, Escher, Jutta, Fossez, Kevin, Giuliani, Pablo, Hoffman, Calem R., Nazarewicz, Witold, Seng, Chien-Yeah, Sorensen, Agnieszka, Vassh, Nicole, Bazin, Daniel, Brown, Kyle W., Capri, Mark A., Crawford, Heather, Danielewic, Pawel, Drischler, Christian, Ruiz, Ronald F. Garcia, Godbey, Kyle, Grzywacz, Robert, Holt, Jeremy W., Iwasaki, Hiro, Lee, Dean, Lenzi, Silvia M., Liddick, Sean, Lubna, Rebeka, Macchiavelli, Augusto O., Pinedo, Gabriel Martinez, McCoy, Anna, Mercenne, Alexis, Minamisono, Kei, Monteagudo, Belen, Navratil, Petr, Ringle, Ryan, Sargsyan, Grigor, Schatz, Hendrik, Spieker, Mark-Christoph, Volya, Alexander, Zegers, Remco G. T., Zelevinsky, Vladimir, Zhang, Xilin
This white paper is the result of a collaboration by those that attended a workshop at the Facility for Rare Isotope Beams (FRIB), organized by the FRIB Theory Alliance (FRIB-TA), on Theoretical Justifications and Motivations for Early High-Profile F
Externí odkaz:
http://arxiv.org/abs/2410.06144
Recent breakthroughs in machine learning and artificial intelligence, fueled by scientific data, are revolutionizing the discovery of new materials. Despite the wealth of existing scientific literature, the availability of both structured experimenta
Externí odkaz:
http://arxiv.org/abs/2410.03963
Although the risk posed to spacecraft due to meteoroid impacts is dominated by sporadic meteoroids, meteor showers can raise this risk for short periods of time. NASA's Meteoroid Environment Office issues meteor shower forecasts that describe these p
Externí odkaz:
http://arxiv.org/abs/2408.04612
Recently an extension to higher-order logic -- called DHOL -- was introduced, enriching the language with dependent types, and creating a powerful extensional type theory. In this paper we propose two ways how choice can be added to DHOL. We extend t
Externí odkaz:
http://arxiv.org/abs/2410.08874
In a multi-fidelity setting, data are available from two sources, high- and low-fidelity. Low-fidelity data has larger size and can be leveraged to make more efficient inference about quantities of interest, e.g. the mean, for high-fidelity variables
Externí odkaz:
http://arxiv.org/abs/2410.08523
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
Cognitive presence and social presence are crucial for a comprehensive learning experience. Despite the flexibility of asynchronous learning environments to accommodate individual schedules, the inherent constraints of asynchronous environments make
Externí odkaz:
http://arxiv.org/abs/2410.04365
Autor:
Ward, Francis Rhys, Yang, Zejia, Jackson, Alex, Brown, Randy, Smith, Chandler, Colverd, Grace, Thomson, Louis, Douglas, Raymond, Bartak, Patrik, Rowan, Andrew
Language models (LMs) can exhibit human-like behaviour, but it is unclear how to describe this behaviour without undue anthropomorphism. We formalise a behaviourist view of LM character traits: qualities such as truthfulness, sycophancy, or coherent
Externí odkaz:
http://arxiv.org/abs/2410.04272
Autor:
Brown, Samuel B., Young, Stephen, Wagenknecht, Adam, Jakubisin, Daniel, Thornton, Charles E., Orndorff, Aaron, Headley, William C.
Denoising autoencoders for signal processing applications have been shown to experience significant difficulty in learning to reconstruct radio frequency communication signals, particularly in the large sample regime. In communication systems, this c
Externí odkaz:
http://arxiv.org/abs/2410.03423
Autor:
Abdulaal, Ahmed, Fry, Hugo, Montaña-Brown, Nina, Ijishakin, Ayodeji, Gao, Jack, Hyland, Stephanie, Alexander, Daniel C., Castro, Daniel C.
Radiological services are experiencing unprecedented demand, leading to increased interest in automating radiology report generation. Existing Vision-Language Models (VLMs) suffer from hallucinations, lack interpretability, and require expensive fine
Externí odkaz:
http://arxiv.org/abs/2410.03334