Zobrazeno 1 - 10
of 317 727
pro vyhledávání: '"A Kay"'
Autor:
Riva, G., Pratt, G. W., Rossetti, M., Bartalucci, I., Kay, S. T., Rasia, E., Gavazzi, R., Umetsu, K., Arnaud, M., Balboni, M., Bonafede, A., Bourdin, H., De Grandi, S., De Luca, F., Eckert, D., Ettori, S., Gaspari, M., Gastaldello, F., Ghirardini, V., Ghizzardi, S., Gitti, M., Lovisari, L., Maughan, B. J., Mazzotta, P., Molendi, S., Pointecouteau, E., Sayers, J., Sereno, M., Towler, I.
We characterise the entropy profiles of 32 very high mass ($M_{500}>7.75\times10^{14}~M_{\odot}$) galaxy clusters (HIGHMz), selected from the CHEX-MATE sample, to study the intracluster medium (ICM) entropy distribution in a regime where non-gravitat
Externí odkaz:
http://arxiv.org/abs/2410.11947
Graph self-training is a semi-supervised learning method that iteratively selects a set of unlabeled data to retrain the underlying graph neural network (GNN) model and improve its prediction performance. While selecting highly confident nodes has pr
Externí odkaz:
http://arxiv.org/abs/2410.09348
Autor:
Yao, Yuhang, Li, Yuan, Fan, Xinyi, Li, Junhao, Liu, Kay, Jin, Weizhao, Ravi, Srivatsan, Yu, Philip S., Joe-Wong, Carlee
Federated graph learning is an emerging field with significant practical challenges. While many algorithms have been proposed to enhance model accuracy, their system performance, crucial for real-world deployment, is often overlooked. To address this
Externí odkaz:
http://arxiv.org/abs/2410.06340
Speech enhancement is critical for improving speech intelligibility and quality in various audio devices. In recent years, deep learning-based methods have significantly improved speech enhancement performance, but they often come with a high computa
Externí odkaz:
http://arxiv.org/abs/2410.04785
Autor:
Daswani, Mayank, Bellaiche, Mathias M. J., Wilson, Marc, Ivanov, Desislav, Papkov, Mikhail, Schnider, Eva, Tang, Jing, Lamerigts, Kay, Botea, Gabriela, Sanchez, Michael A., Patel, Yojan, Prabhakara, Shruthi, Shetty, Shravya, Telang, Umesh
While multimodal foundation models can now natively work with data beyond text, they remain underutilized in analyzing the considerable amounts of multi-dimensional time-series data in fields like healthcare, finance, and social sciences, representin
Externí odkaz:
http://arxiv.org/abs/2410.02637
Autor:
Semeikin, Mikhail N., Wiese, Kay Joerg
We study the large-order behavior of the functional renormalization group (FRG). For a model in dimension zero, we establish Borel-summability for a large class of microscopic couplings. Writing the derivatives of FRG as contour integrals, we express
Externí odkaz:
http://arxiv.org/abs/2410.02361
Model merging is a technique that combines multiple large pretrained models into a single model with enhanced performance and broader task adaptability. It has gained popularity in large pretrained model development due to its ability to bypass the n
Externí odkaz:
http://arxiv.org/abs/2409.18893
Autor:
Nycz, M., Armstrong, W., Averett, T., Gayoso, C. Ayerbe, Bai, X., Bane, J., Barcus, S., Benesch, J., Bhatt, H., Bhetuwal, D., Biswas, D., Camsonne, A., Cates, G., Chen, J-P., Chen, J., Chen, M., Cotton, C., Dalton, M-M., Deltuva, A., Deur, A., Dhital, B., Duran, B., Dusa, S. C., Fernando, I., Fuchey, E., Gamage, B., Gao, H., Gaskell, D., Gautam, T., Gauthier, N., Golak, J., Hansen, J. -O., Hauenstein, F., Henry, W., Higinbotham, D. W., Huber, G., Jantzi, C., Jia, S., Jin, K., Jones, M., Joosten, S., Karki, A., Karki, B., Katugampola, S., Kay, S., Keppel, C., King, E., King, P., Korsch, W., Kumar, V., Li, R., Li, S., Li, W., Mack, D., Malace, S., Markowitz, P., Matter, J., McCaughan, M., Meziani, Z-E., Michaels, R., Mkrtchyan, A., Mkrtchyan, H., Morean, C., Nelyubin, V., Niculescu, G., Niculescu, M., Peng, C., Premathilake, S., Puckett, A., Rathnayake, A., Rehfuss, M., Reimer, P., Riley, G., Roblin, Y., Roche, J., Roy, M., Sauer, P. U., Scopeta, S., Satnik, M., Sawatzky, B., Seeds, S., Širca, S. S., Skibiński, R., Smith, G., Sparveris, N., Szumila-Vance, H., Tadepalli, A., Tadevosyan, V., Tian, Y., Usman, A., Voskanyan, H., Witala, H., Wood, S., Yale, B., Yero, C., Yoon, A., Zhang, J., Zhao, Z., Zheng, X., Zhou, J.
A measurement of the double-spin asymmetry from electron-$^{3}$He scattering in the threshold region of two- and three-body breakup of $^{3}$He was performed at Jefferson Lab, for Q$^{2}$ values of 0.1 and 0.2 (GeV/$c$)$^{2}$. The results of this mea
Externí odkaz:
http://arxiv.org/abs/2409.16370
Autor:
Kumar, Aviral, Zhuang, Vincent, Agarwal, Rishabh, Su, Yi, Co-Reyes, John D, Singh, Avi, Baumli, Kate, Iqbal, Shariq, Bishop, Colton, Roelofs, Rebecca, Zhang, Lei M, McKinney, Kay, Shrivastava, Disha, Paduraru, Cosmin, Tucker, George, Precup, Doina, Behbahani, Feryal, Faust, Aleksandra
Self-correction is a highly desirable capability of large language models (LLMs), yet it has consistently been found to be largely ineffective in modern LLMs. Current methods for training self-correction typically depend on either multiple models, a
Externí odkaz:
http://arxiv.org/abs/2409.12917
Open systems that are weakly coupled to a thermal environment and driven by fast, periodically oscillating fields are commonly assumed to approach an equilibrium-like steady state with respect to a truncated Floquet-Magnus Hamiltonian. Using a genera
Externí odkaz:
http://arxiv.org/abs/2409.12044