Zobrazeno 1 - 10
of 23 751
pro vyhledávání: '"Kwiatkowski, A A"'
Autor:
von Witte, Gevin, Tamarov, Konstantin, Sahin, Neva, Himmler, Aaron, Ganz, Vera, Moilanen, Jani O., Lehto, Vesa-Pekka, Kwiatkowski, Grzegorz, Kozerke, Sebastian, Ernst, Matthias
Hyperpolarized nanoparticles (NPs) offer high polarization levels with room temperature relaxation times exceeding half an hour. In this work, we demonstrate that the achievable hyperpolarization enhancement and relaxation (decay) time at room temper
Externí odkaz:
http://arxiv.org/abs/2412.10536
Autor:
Kootte, B., Reiter, M. P., Andreoiu, C., Beck, S., Bergmann, J., Brunner, T., Dickel, T., Dietrich, K. A., Dilling, J., Dunling, E., Flowerdew, J., Graham, L., Gwinner, G., Hockenbery, Z., Izzo, C., Jacobs, A., Javaji, A., Klawitter, R., Lan, Y., Leistenschneider, E., Lykiardopoulou, E. M., Miskun, I., Mukul, I., Murböck, T., Paul, S. F., Plaß, W. R., Ringuette, J., Scheidenberger, C., Silwal, R., Simpson, R., Teigelhöfer, A., Thompson, R. I., Tracy, Jr., J. L., Vansteenkiste, M., Weil, R., Wieser, M. E., Will, C., Kwiatkowski, A. A.
Direct observation of proton emission with very small emission energy is often unfeasible due to the long partial half-lives associated with tunneling through the Coulomb barrier. Therefore proton emitters with very small Q-values may require masses
Externí odkaz:
http://arxiv.org/abs/2412.10259
Autor:
Jabar, Falah, Busund, Lill-Tove Rasmussen, Ricciuti, Biagio, Tafavvoghi, Masoud, Pøhl, Mette, Andersen, Sigve, Donnem, Tom, Kwiatkowski, David J., Rakaee, Mehrdad
In recent years, the use of deep learning (DL) methods, including convolutional neural networks (CNNs) and vision transformers (ViTs), has significantly advanced computational pathology, enhancing both diagnostic accuracy and efficiency. Hematoxylin
Externí odkaz:
http://arxiv.org/abs/2411.16885
Autor:
Ray, Dwaipayan, Collister, Robert, Rasiwala, Hussain, Backes, Lucas, Balbuena, Ali V., Brunner, Thomas, Casandjian, Iroise, Chambers, Chris, vitan, Megan, Daniels, Tim, Dilling, Jens, Elmansali, Ryan, Fairbank, William, Fudenberg, Daniel, Gornea, Razvan, Gratta, Giorgio, Iverson, Alec, Kwiatkowski, Anna A., Leach, Kyle G., Lennarz, Annika, Li, Zepeng, Medina-Peregrina, Melissa, Murray, Kevin, Sullivan, Kevin O, Ross, Regan, Shaikh, Raad, Shang, Xiao, Soderstrom, Joseph, Varentsov, Victor, Yang, Liang
Neutrinoless double beta decay ($0 \nu \beta \beta$) provides a way to probe physics beyond the Standard Model of particle physics. The upcoming nEXO experiment will search for $0\nu\beta\beta$ decay in $^{136}$Xe with a projected half-life sensitivi
Externí odkaz:
http://arxiv.org/abs/2410.18138
The safety and robustness of large language models (LLMs) based applications remain critical challenges in artificial intelligence. Among the key threats to these applications are prompt hacking attacks, which can significantly undermine the security
Externí odkaz:
http://arxiv.org/abs/2410.13901
Bratteli diagrams with countably infinite levels exhibit a new phenomenon: they can be horizontally stationary. The incidence matrices of these horizontally stationary Bratteli diagrams are infinite banded Toeplitz matrices. In this paper, we study t
Externí odkaz:
http://arxiv.org/abs/2409.10084
Autor:
Zhou, Xuyang, Bienvenu, Baptiste, Wu, Yuxiang, da Silva, Alisson Kwiatkowski, Ophus, Colin, Raabe, Dierk
Synthesizing distinct phases and controlling the crystalline defects in them are key concepts in materials and process design. These approaches are usually described by decoupled theories, with the former resting on equilibrium thermodynamics and the
Externí odkaz:
http://arxiv.org/abs/2408.09213
In this work, we introduce a deep-learning framework designed for estimating dense image correspondences. Our fully convolutional model generates dense feature maps for images, where each pixel is associated with a descriptor that can be matched acro
Externí odkaz:
http://arxiv.org/abs/2408.02766
Autor:
Towers, Mark, Kwiatkowski, Ariel, Terry, Jordan, Balis, John U., De Cola, Gianluca, Deleu, Tristan, Goulão, Manuel, Kallinteris, Andreas, Krimmel, Markus, KG, Arjun, Perez-Vicente, Rodrigo, Pierré, Andrea, Schulhoff, Sander, Tai, Jun Jet, Tan, Hannah, Younis, Omar G.
Reinforcement Learning (RL) is a continuously growing field that has the potential to revolutionize many areas of artificial intelligence. However, despite its promise, RL research is often hindered by the lack of standardization in environment and a
Externí odkaz:
http://arxiv.org/abs/2407.17032
In this study, we address the issue of API hallucinations in various software engineering contexts. We introduce CloudAPIBench, a new benchmark designed to measure API hallucination occurrences. CloudAPIBench also provides annotations for frequencies
Externí odkaz:
http://arxiv.org/abs/2407.09726