Zobrazeno 1 - 10
of 35 740
pro vyhledávání: '"A Franks"'
Autor:
Li, Boato, Weber, Tim, Kose, Umut, Franks, Matthew, Wüthrich, Johannes, Zhao, Xingyu, Sgalaberna, Davide, Boyarintsev, Andrey, Sibilieva, Tetiana, Berns, Siddartha, Boillat, Eric, De Roeck, Albert, Dieminger, Till, Grynyov, Boris, Hugon, Sylvain, Jaeschke, Carsten, Rubbia, André
Plastic scintillators are widely used for the detection of elementary particles, and 3D reconstruction of particle tracks is achieved by segmenting the detector into 3D granular structures. In this study, we present a novel prototype fabricated by ad
Externí odkaz:
http://arxiv.org/abs/2412.10174
Autor:
Franks, Billy Joe, Eliasof, Moshe, Cantürk, Semih, Wolf, Guy, Schönlieb, Carola-Bibiane, Fellenz, Sophie, Kloft, Marius
Recent advances in integrating positional and structural encodings (PSEs) into graph neural networks (GNNs) have significantly enhanced their performance across various graph learning tasks. However, the general applicability of these encodings and t
Externí odkaz:
http://arxiv.org/abs/2412.07407
In many industrial applications, it is common that the graph embeddings generated from training GNNs are used in an ensemble model where the embeddings are combined with other tabular features (e.g., original node or edge features) in a downstream ML
Externí odkaz:
http://arxiv.org/abs/2411.00287
Autor:
Juhasz, Matyas, Dutia, Kalyan, Franks, Henry, Delahunty, Conor, Mills, Patrick Fawbert, Pim, Harrison
Climate decision making is constrained by the complexity and inaccessibility of key information within lengthy, technical, and multi-lingual documents. Generative AI technologies offer a promising route for improving the accessibility of information
Externí odkaz:
http://arxiv.org/abs/2410.23902
This paper presents the development and application of an AI-based method for particle track identification using scintillating fibres read out with imaging sensors. We propose a variational autoencoder (VAE) to efficiently filter and identify frames
Externí odkaz:
http://arxiv.org/abs/2410.10519
The rapid expansion of records creates significant challenges in management, including retention and disposition, appraisal, and organization. Our study underscores the benefits of integrating artificial intelligence (AI) within the broad realm of ar
Externí odkaz:
http://arxiv.org/abs/2410.09086
Autor:
Hooft, Gerard t, Phillips, William D, Zeilinger, Anton, Allen, Roland, Baggott, Jim, Bouchet, Francois R, Cantanhede, Solange M G, Castanedo, Lazaro A M, Cetto, Ana Maria, Coley, Alan A, Dalton, Bryan J, Fahimi, Peyman, Franks, Sharon, Frano, Alex, Fry, Edward S, Goldfarb, Steven, Langanke, Karlheinz, Matta, Cherif F, Nanopoulos, Dimitri, Orzel, Chad, Patrick, Sam, Sanghai, Viraj A A, Schuller, Ivan K, Shpyrko, Oleg, Lidstrom, Suzy
Despite its amazing quantitative successes and contributions to revolutionary technologies, physics currently faces many unsolved mysteries ranging from the meaning of quantum mechanics to the nature of the dark energy that will determine the future
Externí odkaz:
http://arxiv.org/abs/2404.11724
Autor:
Juhasz, Matyas, Marchand, Tina, Melwani, Roshan, Dutia, Kalyan, Goodenough, Sarah, Pim, Harrison, Franks, Henry
Quantified policy targets are a fundamental element of climate policy, typically characterised by domain-specific and technical language. Current methods for curating comprehensive views of global climate policy targets entail significant manual effo
Externí odkaz:
http://arxiv.org/abs/2404.02822
The Weisfeiler-Leman algorithm ($1$-WL) is a well-studied heuristic for the graph isomorphism problem. Recently, the algorithm has played a prominent role in understanding the expressive power of message-passing graph neural networks (MPNNs) and bein
Externí odkaz:
http://arxiv.org/abs/2402.07568
Autor:
Weber, Tim, Boyarintsev, Andrey, Kose, Umut, Li, Boato, Sgalaberna, Davide, Sibilieva, Tetiana, Berns, Siddartha, Boillat, Eric, De Roeck, Albert, Dieminger, Till, Dolan, Stephen, Franks, Matthew, Grynyov, Boris, Hugon, Sylvain, Jaeschke, Carsten, Rubbia, André
Plastic-scintillator detectors are devices used for the detection of elementary particles. They provide good particle identification with excellent time resolution, whilst being inexpensive due to the affordability of plastic materials. Particle trac
Externí odkaz:
http://arxiv.org/abs/2312.04672