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We discuss differences and similarities between variational Monte Carlo approaches that use conventional and artificial neural network parameterizations of the ground-state wave function for systems of fermions. We focus on a relatively shallow neura
Externí odkaz:
http://arxiv.org/abs/2210.00365
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
In this study, we explore the similarities and differences between variational Monte Carlo techniques that employ conventional and artificial neural network representations of the ground-state wave function for fermionic systems. Our primary focus is
Externí odkaz:
https://doaj.org/article/f31f0584f0c0409f82f3f273d3c064f3
Publikováno v:
In Poultry Science 1 March 2019 98(3):1390-1402
Akademický článek
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Publikováno v:
Computer Graphics Forum; Oct2023, Vol. 42 Issue 7, p1-16, 16p, 4 Color Photographs, 4 Black and White Photographs, 3 Diagrams, 1 Chart, 7 Graphs
Publikováno v:
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Time series of interferometric SAR (InSAR) images offer the potential to detect and monitor surface deformation with high spatial resolution, even for slow deformation processes. Current InSAR time series processing techniques are however often biase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::691e743409fb93b221cc4359dcb557df
Decentralized optimization is increasingly popular in machine learning for its scalability and efficiency. Intuitively, it should also provide better privacy guarantees, as nodes only observe the messages sent by their neighbors in the network graph.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4198::f7b10e49e6fae5f902f0ec027fa13c10
http://hdl.handle.net/20.500.12210/80012
http://hdl.handle.net/20.500.12210/80012