Zobrazeno 1 - 10
of 4 381
pro vyhledávání: '"Patel, P. V."'
Autor:
Patel, Rameshri V., Shah, Manan N.
The spectroscopy of $\Xi^0$ is performed within the relativistic framework of independent quark model. The equal mixture of scalar and vector components in the potential having Martin-like form is considered for the confinement. With the suitable pot
Externí odkaz:
http://arxiv.org/abs/2407.16409
Numerous applications in biology, statistics, science, and engineering require generating samples from high-dimensional probability distributions. In recent years, the Hamiltonian Monte Carlo (HMC) method has emerged as a state-of-the-art Markov chai
Externí odkaz:
http://arxiv.org/abs/2405.05033
We propose a novel modular inference approach combining two different generative models -- generative adversarial networks (GAN) and normalizing flows -- to approximate the posterior distribution of physics-based Bayesian inverse problems framed in h
Externí odkaz:
http://arxiv.org/abs/2310.04690
The increasing need for sharing workspace and interactive physical tasks between robots and humans has raised concerns regarding safety of such operations. In this regard, controllable clutches have shown great potential for addressing important safe
Externí odkaz:
http://arxiv.org/abs/2210.08664
Social media captures examples of people's behaviors, actions, beliefs, and sentiments. As a result, it can be a valuable source of information and inspiration for HCI research and design. Social media technologies can improve, inform, and strengthen
Externí odkaz:
http://arxiv.org/abs/2205.04315
Autor:
Modrakovic, Xen, Boone, Cheriko A., Kalwicz, David A., Rao, Sharanya, Parchem, Benjamin, Wittlin, Natalie M., Patel, Viraj V., Magnus, Manya, Zea, Maria Cecilia, Kharfen, Michael, Dovidio, John F., Calabrese, Sarah K.
Publikováno v:
Tutorials in Quantitative Methods for Psychology, Vol 20, Iss 2, Pp 76-87 (2024)
In this non-empirical article, which is intended as a decision-making resource for researchers, we identify issues surrounding data integrity that commonly arise in online survey research and we propose remediation strategies based on challenges we e
Externí odkaz:
https://doaj.org/article/404dabc918204e68a8ab6733ebdd4ca5
In this work, we train conditional Wasserstein generative adversarial networks to effectively sample from the posterior of physics-based Bayesian inference problems. The generator is constructed using a U-Net architecture, with the latent information
Externí odkaz:
http://arxiv.org/abs/2202.07773
Autor:
Ross, J. S., Ralph, J. E., Zylstra, A. B., Kritcher, A. L., Robey, H. F., Young, C. V., Hurricane, O. A., Callahan, D. A., Baker, K. L., Casey, D. T., Doeppner, T., Divol, L., Hohenberger, M., Pape, S. Le, Pak, A., Patel, P. K., Tommasini, R., Ali, S. J., Amendt, P. A., Atherton, L. J., Bachmann, B., Bailey, D., Benedetti, L. R., Hopkins, L. Berzak, Betti, R., Bhandarkar, S. D., Bionta, R. M., Birge, N. W., Bond, E. J., Bradley, D. K., Braun, T., Briggs, T. M., Bruhn, M. W., Celliers, P. M., Chang, B., Chapman, T., Chen, H., Choate, C., Christopherson, A. R., Clark, D. S., Crippen, J. W., Dewald, E. L., Dittrich, T. R., Edwards, M. J., Farmer, W. A., Field, J. E., Fittinghoff, D., Frenje, J., Gaffney, J., Johnson, M. Gatu, Glenzer, S. H., Grim, G. P., Haan, S., Hahn, K. D., Hall, G. N., Hammel, B. A., Harte, J., Hartouni, E., Heebner, J. E., Hernandez, V. J., Herrmann, H., Herrmann, M. C., Hinkel, D. E., Ho, D. D., Holder, J. P., Hsing, W. W., Huang, H., Humbird, K. D., Izumi, N., Jarrott, L. C., Jeet, J., Jones, O., Kerbel, G. D., Kerr, S. M., Khan, S. F., Kilkenny, J., Kim, Y., Kleinrath, H. Geppert, Kleinrath, V. Geppert, Kong, C., Koning, J. M., Kroll, J. J., Landen, O. L., Langer, S., Larson, D., Lemos, N. C., Lindl, J. D., Ma, T., MacDonald, M. J., MacGowan, B. J., Mackinnon, A. J., MacLaren, S. A., MacPhee, A. G., Marinak, M. M., Mariscal, D. A., Marley, E. V., Masse, L., Meaney, K., Meezan, N. B., Michel, P. A., Millot, M., Milovich, J. L., Moody, J. D., Moore, A. S., Morton, J. W., Murphy, T., Newman, K., Di Nicola, J. -M. G., Nikroo, A., Nora, R., Patel, M. V., Pelz, L. J., Peterson, J. L., Ping, Y., Pollock, B. B., Ratledge, M., Rice, N. G., Rinderknecht, H., Rosen, M., Rubery, M. S., Salmonson, J. D., Sater, J., Schiaffino, S., Schlossberg, D. J., Schneider, M. B., Schroeder, C. R., Scott, H. A., Sepke, S. M., Sequoia, K., Sherlock, M. W., Shin, S., Smalyuk, V. A., Spears, B. K., Springer, P. T., Stadermann, M., Stoupin, S., Strozzi, D. J., Suter, L. J., Thomas, C. A., Town, R. P. J., Tubman, E. R., Volegov, P. L., Weber, C. R., Widmann, K., Wild, C., Wilde, C. H., Van Wonterghem, B. M., Woods, D. T., Woodworth, B. N., Yamaguchi, M., Yang, S. T., Zimmerman, G. B.
An experimental program is currently underway at the National Ignition Facility (NIF) to compress deuterium and tritium (DT) fuel to densities and temperatures sufficient to achieve fusion and energy gain. The primary approach being investigated is i
Externí odkaz:
http://arxiv.org/abs/2111.04640
Inverse problems are ubiquitous in nature, arising in almost all areas of science and engineering ranging from geophysics and climate science to astrophysics and biomechanics. One of the central challenges in solving inverse problems is tackling thei
Externí odkaz:
http://arxiv.org/abs/2107.02926
Tomography is a widely used tool for analyzing microstructures in three dimensions (3D). The analysis, however, faces difficulty because the constituent materials produce similar grey-scale values. Sometimes, this prompts the image segmentation proce
Externí odkaz:
http://arxiv.org/abs/2104.13430