Zobrazeno 1 - 10
of 2 046
pro vyhledávání: '"Filippone P"'
Autor:
Musedinovic, R., Blokland, L. S., Cude-Woods, C. B., Singh, M., Blatnik, M. A., Callahan, N., Choi, J. H., Clayton, S., Filippone, B. W., Fox, W. R., Fries, E., Geltenbort, P., Gonzalez, F. M., Hayen, L., Hickerson, K. P., Holley, A. T., Ito, T. M., Komives, A., Lin, S, Liu, Chen-Yu, Makela, M. F., O'Shaughnessy, C. M., Pattie Jr, R. W., Ramsey, J. C., Salvat, D. J., Saunders, A., Seestrom, S. J., Sharapov, E. I., Tang, Z., Uhrich, F. W., Vanderwerp, J., Walstrom, P., Wang, Z., Young, A. R., Morris, C. L.
Here we publish three years of data for the UCNtau experiment performed at the Los Alamos Ultra Cold Neutron Facility at the Los Alamos Neutron Science Center. These data are in addition to our previously published data. Our goals in this paper are t
Externí odkaz:
http://arxiv.org/abs/2409.05560
In this paper, we propose some Chebyshev polynomials of the 1st-kind which produce optimal bound for a polynomial dependent constant involved in the AMG $V$-cycle error bound and do not require information about the spectrum of matrices. We formulate
Externí odkaz:
http://arxiv.org/abs/2407.09848
Autor:
Chessari, Alessandro, Rodríguez-Mena, Esteban A., Abadillo-Uriel, José Carlos, Champain, Victor, Zihlmann, Simon, Maurand, Romain, Niquet, Yann-Michel, Filippone, Michele
We devise a Floquet theory of longitudinal and dispersive readout in circuit QED. By studying qubits coupled to cavity photons and driven at the resonance frequency of the cavity $\omega_{\rm r}$, we establish a universal connection between the qubit
Externí odkaz:
http://arxiv.org/abs/2407.03417
In this chapter, we describe the Parallel Sparse Computation Toolkit (PSCToolkit), a suite of libraries for solving large-scale linear algebra problems in an HPC environment. In particular, we focus on the tools provided for the solution of symmetric
Externí odkaz:
http://arxiv.org/abs/2406.19754
Autor:
Blatnik, M. F., Blokland, L. S., Callahan, N., Choi, J. H., Clayton, S., Cude-Woods, C. B, Filippone, B. W., Fox, W. R., Fries, E., Geltenbort, P., Gonzalez, F. M., Hayen, L., Hickerson, K. P., Holley, A. T., Ito, T. M., Komives, A., Lin, S, Liu, Chen-Yu, Makela, M. F., Morris, C. L., Musedinovic, R., O'Shaughnessy, C. M., Pattie Jr., R. W., Ramsey, J. C., Salvat, D. J., Saunders, A., Seestrom, S. J., Sharapov, E. I., Singh, M., Tang, Z., Uhrich, W. F., Vanderwerp, J., Walstrom, P., Wang, Z., Young, A. R.
The past two decades have yielded several new measurements and reanalysis of older measurements of the neutron lifetime. These have led to a 4.4 standard deviation discrepancy between the most precise measurements of the neutron decay rate producing
Externí odkaz:
http://arxiv.org/abs/2406.10378
Introducing training-time augmentations is a key technique to enhance generalization and prepare deep neural networks against test-time corruptions. Inspired by the success of generative diffusion models, we propose a novel approach coupling data aug
Externí odkaz:
http://arxiv.org/abs/2406.01494
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning
In model-based reinforcement learning, most algorithms rely on simulating trajectories from one-step models of the dynamics learned on data. A critical challenge of this approach is the compounding of one-step prediction errors as the length of the t
Externí odkaz:
http://arxiv.org/abs/2402.03146
Autor:
Bonilla, Edwin V., Elinas, Pantelis, Zhao, He, Filippone, Maurizio, Kitsios, Vassili, O'Kane, Terry
Estimating the structure of a Bayesian network, in the form of a directed acyclic graph (DAG), from observational data is a statistically and computationally hard problem with essential applications in areas such as causal discovery. Bayesian approac
Externí odkaz:
http://arxiv.org/abs/2402.02644
Autor:
Papamarkou, Theodore, Skoularidou, Maria, Palla, Konstantina, Aitchison, Laurence, Arbel, Julyan, Dunson, David, Filippone, Maurizio, Fortuin, Vincent, Hennig, Philipp, Hernández-Lobato, José Miguel, Hubin, Aliaksandr, Immer, Alexander, Karaletsos, Theofanis, Khan, Mohammad Emtiyaz, Kristiadi, Agustinus, Li, Yingzhen, Mandt, Stephan, Nemeth, Christopher, Osborne, Michael A., Rudner, Tim G. J., Rügamer, David, Teh, Yee Whye, Welling, Max, Wilson, Andrew Gordon, Zhang, Ruqi
In the current landscape of deep learning research, there is a predominant emphasis on achieving high predictive accuracy in supervised tasks involving large image and language datasets. However, a broader perspective reveals a multitude of overlooke
Externí odkaz:
http://arxiv.org/abs/2402.00809
Autor:
Korsch, Wolfgang, Broering, Mark, Timsina, Ashok, Leung, Kent K. H., Abney, Joshua, Budker, Dmitry, Filippone, Bradley W., He, Jiachen, Kandu, Suman, McCrea, Mark, Roy, Murchhana, Swank, Christopher, Yao, Weijun
This paper presents a new technique to study the adsorption and desorption of ions and electrons on insulating surfaces in the presence of strong electric fields in cryoliquids. The experimental design consists of a compact cryostat coupled with a se
Externí odkaz:
http://arxiv.org/abs/2401.00538