Zobrazeno 1 - 10
of 20 045
pro vyhledávání: '"JOHNSON, DAVID A."'
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:
Wang, Feiran, Cooper, Nathan, He, Yinfeng, Hopton, Benjamin, Johnson, David, Zhao, Peng, Fromhold, T. Mark, Tuck, Christopher J., Hague, Richard, Wildman, Ricky D., Turyanska, Lyudmila, Hackermüller, Lucia
Atomic vapour cells are an indispensable tool for quantum technologies (QT), but potential improvements are limited by the capacities of conventional manufacturing methods. Using an additive manufacturing (AM) technique - vat polymerisation by digita
Externí odkaz:
http://arxiv.org/abs/2406.15255
Planners who wish to manage coastal flood risk with long-lived infrastructure (e.g., levees, floodwalls) under a constrained computational budget face a tradeoff. Simulating a large number of future time periods or scenarios with different assumption
Externí odkaz:
http://arxiv.org/abs/2401.00862
Autor:
Johnson, David Alan
Publikováno v:
Journal of Medical Regulation, 2024 Jan 01. 110(1), 20-32.
Externí odkaz:
https://www.jstor.org/stable/48771981
Autor:
Jiang, Yuwei, Johnson, David
In 2015, the United Nations put forward 17 Sustainable Development Goals (SDGs) to be achieved by 2030, where data has been promoted as a focus to innovating sustainable development and as a means to measuring progress towards achieving the SDGs. In
Externí odkaz:
http://arxiv.org/abs/2307.07983
Machine learning is frequently used in affective computing, but presents challenges due the opacity of state-of-the-art machine learning methods. Because of the impact affective machine learning systems may have on an individual's life, it is importa
Externí odkaz:
http://arxiv.org/abs/2306.08933
Autor:
Johnson, David L.
The existence of orthogonal local coordinates is a generalization of the manifold being conformally flat. It is always possible to construct orthogonal coordinates on 2-manifolds, using geometric normal coordinates or isothermal coordinates. In 1984,
Externí odkaz:
http://arxiv.org/abs/2305.05083