Zobrazeno 1 - 10
of 5 554
pro vyhledávání: '"Monahan, P."'
Autor:
Bukhari, Syed Ali Asadullah, Flinkow, Thomas, Inkarbekov, Medet, Pearlmutter, Barak A., Monahan, Rosemary
Publikováno v:
EPTCS 411, 2024, pp. 178-190
The increased reliance of self-driving vehicles on neural networks opens up the challenge of their verification. In this paper we present an experience report, describing a case study which we undertook to explore the design and training of a neural
Externí odkaz:
http://arxiv.org/abs/2411.14163
Autor:
Monahan, Sean
Our main result is a combinatorial characterization of when a horospherical variety has (at worst) quotient singularities. Using this characterization, we show that every quasiprojective horospherical variety with quotient singularities is globally t
Externí odkaz:
http://arxiv.org/abs/2411.09488
Autor:
Aoki, Y., Blum, T., Collins, S., Del Debbio, L., Della Morte, M., Dimopoulos, P., Feng, X., Golterman, M., Gottlieb, Steven, Gupta, R., Herdoiza, G., Hernandez, P., Jüttner, A., Kaneko, T., Lunghi, E., Meinel, S., Monahan, C., Nicholson, A., Onogi, T., Petreczky, P., Portelli, A., Ramos, A., Sharpe, S. R., Simone, J. N., Sint, S., Sommer, R., Tantalo, N., Van de Water, R., Vaquero, A., Wenger, U., Wittig, H.
We review lattice results related to pion, kaon, $D$-meson, $B$-meson, and nucleon physics with the aim of making them easily accessible to the nuclear and particle physics communities. More specifically, we report on the determination of the light-q
Externí odkaz:
http://arxiv.org/abs/2411.04268
On September 16th, 2023, an anomalous 10.88 mHz seismic signal was observed globally, persisting for 9 days. One month later an identical signal appeared, lasting for another week. Several studies have theorized that these signals were produced by se
Externí odkaz:
http://arxiv.org/abs/2411.02469
Autor:
Asai, Shoji, Ballarino, Amalia, Bose, Tulika, Cranmer, Kyle, Cyr-Racine, Francis-Yan, Demers, Sarah, Geddes, Cameron, Gershtein, Yuri, Heeger, Karsten, Heinemann, Beate, Hewett, JoAnne, Huber, Patrick, Mahn, Kendall, Mandelbaum, Rachel, Maricic, Jelena, Merkel, Petra, Monahan, Christopher, Murayama, Hitoshi, Onyisi, Peter, Palmer, Mark, Raubenheimer, Tor, Sanchez, Mayly, Schnee, Richard, Seidel, Sally, Seo, Seon-Hee, Thaler, Jesse, Touramanis, Christos, Vieregg, Abigail, Weinstein, Amanda, Winslow, Lindley, Yu, Tien-Tien, Zwaska, Robert
This is the report from the 2023 Particle Physics Project Prioritization Panel (P5) approved by High Energy Physics Advisory Panel (HEPAP) on December 8, 2023. The final version was made public on May 8, 2024 and submitted to DOE SC and NSF MPS.
Externí odkaz:
http://arxiv.org/abs/2407.19176
Extracting parton structure from lattice quantum chromodynamics (QCD) calculations requires studying the coordinate scale $z_3$ dependence of the matrix elements of bilocal operators. The most significant contribution comes from the $z_3$ dependence
Externí odkaz:
http://arxiv.org/abs/2407.16577
Extensive research on formal verification of machine learning systems indicates that learning from data alone often fails to capture underlying background knowledge such as specifications implicitly available in the data. Various neural network verif
Externí odkaz:
http://arxiv.org/abs/2407.03847
Soprunov and Soprunova introduced the notion of a good infinite family of toric codes. We prove that such good families do not exist by proving a more general Szemer\'edi-type result: for all $c\in(0,1]$ and all positive integers $N$, subsets of dens
Externí odkaz:
http://arxiv.org/abs/2406.00243
Autor:
Daust, Kiri, Monahan, Adam
Adapting to the changing climate requires accurate local climate information, a computationally challenging problem. Recent studies have used Generative Adversarial Networks (GANs), a type of deep learning, to learn complex distributions and downscal
Externí odkaz:
http://arxiv.org/abs/2406.02587
Autor:
Dutrieux, Hervé, Edwards, Robert G., Egerer, Colin, Karpie, Joseph, Monahan, Christopher, Orginos, Kostas, Radyushkin, Anatoly, Richards, David, Romero, Eloy, Zafeiropoulos, Savvas
Publikováno v:
JHEP 08 (2024) 162
We present an exploration of the unpolarized isovector proton generalized parton distributions (GPDs) $H^{u-d}(x, \xi, t)$ and $E^{u-d}(x, \xi, t)$ in the pseudo-distribution formalism using distillation. Taking advantage of the large kinematic cover
Externí odkaz:
http://arxiv.org/abs/2405.10304