Zobrazeno 1 - 10
of 43 933
pro vyhledávání: '"johnson, David"'
Autor:
Li, Geng
Publikováno v:
China Review, 2023 Nov 01. 23(4), 318-320.
Externí odkaz:
https://www.jstor.org/stable/48750791
Autor:
Gibbs, Levi S.
Publikováno v:
Asian Ethnology, 2023 Jan 01. 82(2), 349-353.
Externí odkaz:
https://www.jstor.org/stable/48757758
Publikováno v:
Library Journal. Dec2024, Vol. 149 Issue 12, p91-92. 2p.
Autor:
Viswanath, Siddharth, Bhaskar, Dhananjay, Johnson, David R., Rocha, Joao Felipe, Castro, Egbert, Grady, Jackson D., Grigas, Alex T., Perlmutter, Michael A., O'Hern, Corey S., Krishnaswamy, Smita
Understanding the dynamic nature of protein structures is essential for comprehending their biological functions. While significant progress has been made in predicting static folded structures, modeling protein motions on microsecond to millisecond
Externí odkaz:
http://arxiv.org/abs/2410.20317
Autor:
Johnson, David R., Chew, Joyce, Viswanath, Siddharth, De Brouwer, Edward, Needell, Deanna, Krishnaswamy, Smita, Perlmutter, Michael
In order to better understand manifold neural networks (MNNs), we introduce Manifold Filter-Combine Networks (MFCNs). The filter-combine framework parallels the popular aggregate-combine paradigm for graph neural networks (GNNs) and naturally suggest
Externí odkaz:
http://arxiv.org/abs/2410.14639
Autor:
Overton, Matt, Rubio, Jesús, Cooper, Nathan, Baldolini, Daniele, Johnson, David, Anders, Janet, Hackermüller, Lucia
Bayesian methods promise enhanced device performance and accelerated data collection. We demonstrate an adaptive Bayesian measurement strategy for atom number estimation in a quantum technology experiment, utilising a symmetry-informed loss function.
Externí odkaz:
http://arxiv.org/abs/2410.10615
Autor:
Hepach, Maximilian G.
Publikováno v:
Environmental Philosophy, 2020 Apr 01. 17(1), 187-191.
Externí odkaz:
https://www.jstor.org/stable/27140603
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