Zobrazeno 1 - 10
of 45 239
pro vyhledávání: '"Gustafson, A"'
Uncertainty around predictions from a model due to the finite size of the development sample has traditionally been approached using classical inferential techniques. The finite size of the sample will result in the discrepancy between the final mode
Externí odkaz:
http://arxiv.org/abs/2410.03096
Autor:
Bierlich, Christian, Christiansen, Peter, Gustafson, Gösta, Lönnblad, Leif, Törnkvist, Robin, Zapp, Korinna
In collisions between heavy nuclei, such as those at the Large Hadron Collider (LHC) at CERN, hydrodynamic models have successfully related measured azimuthal momentum anisotropies to the transverse shape of the collision region. For an elliptically
Externí odkaz:
http://arxiv.org/abs/2409.16093
Autor:
Chayanon, Wichitrnithed, Woo-Sun-Yang, Yun, He, Richardson, Brad, Sakaguchi, Koichi, Arenaz, Manuel, Gustafson Jr., William I., Shpund, Jacob, Blanco, Ulises Costi, Dieste, Alvaro Goldar
Currently, the Weather Research and Forecasting model (WRF) utilizes shared memory (OpenMP) and distributed memory (MPI) parallelisms. To take advantage of GPU resources on the Perlmutter supercomputer at NERSC, we port parts of the computationally e
Externí odkaz:
http://arxiv.org/abs/2409.07232
Autor:
Gustafson, Erik, Sherbert, Kyle, Florio, Adrien, Shirali, Karunya, Chen, Yanzhu, Lamm, Henry, Valgushev, Semeon, Weichselbaum, Andreas, Economou, Sophia E., Pisarski, Robert D., Tubman, Norm M.
Inspired by recent advancements of simulating periodic systems on quantum computers, we develop a new approach, (SC)$^2$-ADAPT-VQE, to further advance the simulation of these systems. Our approach extends the scalable circuits ADAPT-VQE framework, wh
Externí odkaz:
http://arxiv.org/abs/2408.12641
Autor:
Lee, Seren, Gustafson, Paul
A partially identified model, where the parameters can not be uniquely identified, often arises during statistical analysis. While researchers frequently use Bayesian inference to analyze the models, when Bayesian inference with an off-the-shelf MCMC
Externí odkaz:
http://arxiv.org/abs/2408.10416
Autor:
Gustafson, R. Andrew, Herrera, Gonzalo, Mukhopadhyay, Mainak, Murase, Kohta, Shoemaker, Ian M.
We present a novel way to probe inelastic dark matter using cosmic-ray (CR) cooling in active galactic nuclei (AGNs). Dark matter (DM) in the vicinity of supermassive black holes may scatter off CRs, resulting in the rapid cooling of CRs for sufficie
Externí odkaz:
http://arxiv.org/abs/2408.08947
Autor:
Ravi, Nikhila, Gabeur, Valentin, Hu, Yuan-Ting, Hu, Ronghang, Ryali, Chaitanya, Ma, Tengyu, Khedr, Haitham, Rädle, Roman, Rolland, Chloe, Gustafson, Laura, Mintun, Eric, Pan, Junting, Alwala, Kalyan Vasudev, Carion, Nicolas, Wu, Chao-Yuan, Girshick, Ross, Dollár, Piotr, Feichtenhofer, Christoph
We present Segment Anything Model 2 (SAM 2), a foundation model towards solving promptable visual segmentation in images and videos. We build a data engine, which improves model and data via user interaction, to collect the largest video segmentation
Externí odkaz:
http://arxiv.org/abs/2408.00714
Quantum Fourier transformations are an essential component of many quantum algorithms, from prime factoring to quantum simulation. While the standard abelian QFT is well-studied, important variants corresponding to \emph{nonabelian} groups of interes
Externí odkaz:
http://arxiv.org/abs/2408.00075
Autor:
Ducellier, Ariane, Hsu, Alexander, Kendrick, Parkes, Gustafson, Bill, Dwyer-Lindgren, Laura, Murray, Christopher, Zheng, Peng, Aravkin, Aleksandr
We consider statistical inference problems under uncertain equality constraints, and provide asymptotically valid uncertainty estimates for inferred parameters. The proposed approach leverages the implicit function theorem and primal-dual optimality
Externí odkaz:
http://arxiv.org/abs/2407.20520