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Akademický článek
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Akademický článek
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Autor:
Czachur, Waldemar
Publikováno v:
tekst i dyskurs – text und diskurs / text and discourse. (15):615-621
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1014425
Port-Hamiltonian neural networks (pHNNs) are emerging as a powerful modeling tool that integrates physical laws with deep learning techniques. While most research has focused on modeling the entire dynamics of interconnected systems, the potential fo
Externí odkaz:
http://arxiv.org/abs/2411.05730
In general, matrix or tensor-valued functions are approximated using the method developed for vector-valued functions by transforming the matrix-valued function into vector form. This paper proposes a tensor-based interpolation method to approximate
Externí odkaz:
http://arxiv.org/abs/2410.21770
Autor:
Dobson, Matthew M., Schwamb, Megan E., Fitzsimmons, Alan, Kelley, Michael S. P., Holt, Carrie E., Murtagh, Joseph, Hsieh, Henry H., Denneau, Larry, Erasmus, Nicolas, Heinze, A. N., Shingles, Luke J., Siverd, Robert J., Smith, Ken W., Tonry, John L., Weiland, Henry, Young, David. R., Lister, Tim, Gomez, Edward, Chatelain, Joey, Greenstreet, Sarah
We utilize serendipitous observations from the Asteroid Terrestrial-impact Last Alert System (ATLAS) and the Zwicky Transient Facility (ZTF) in addition to targeted follow-up observations from the Las Cumbres Observatory (LCO) and Liverpool Telescope
Externí odkaz:
http://arxiv.org/abs/2410.13644
Explaining the decisions of AI has become vital for fostering appropriate user trust in these systems. This paper investigates explanations for a structured prediction task called ``text-to-SQL Semantic Parsing'', which translates a natural language
Externí odkaz:
http://arxiv.org/abs/2410.16283
Autor:
Bull, J. Mark, Coughtrie, Andrew, Deeptimahanti, Deva, Hedley, Mark, Laoide-Kemp, Caoimhín, Maynard, Christopher, Shepherd, Harry, van de Bund, Sebastiaan, Weiland, Michèle, Went, Benjamin
This study presents scaling results and a performance analysis across different supercomputers and compilers for the Met Office weather and climate model, LFRic. The model is shown to scale to large numbers of nodes which meets the design criteria, t
Externí odkaz:
http://arxiv.org/abs/2409.15859
We introduce a method for removing CMB and anomalous microwave emission (AME, or spinning dust) intensity signals at high to intermediate Galactic latitudes in temperature sky maps at frequencies roughly between 5 and 40 GHz. The method relies on the
Externí odkaz:
http://arxiv.org/abs/2409.13132