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Published in 2022 at "Physical review letters"
DOI: 10.1103/physrevlett.129.136402
Abstract: We perform a data-driven dimensionality reduction of the scale-dependent four-point vertex function characterizing the functional renormalization group (FRG) flow for the widely studied two-dimensional t-t^{'} Hubbard model on the square lattice. We demonstrate that a…
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Keywords:
renormalization group;
learning functional;
deep learning;
functional renormalization ... See more keywords
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Published in 2020 at "IEEE Transactions on Learning Technologies"
DOI: 10.1109/tlt.2020.3028596
Abstract: The user interface (UI) is a key component of an interactive software application; therefore, it is important to provide software developers with basic UI design skills. However, teaching UI design is challenging, even at a…
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Keywords:
functional design;
learning functional;
simulation feedback;
design principles ... See more keywords
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Published in 2023 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph20054155
Abstract: Clustering algorithms are widely used to mine the heterogeneity between meteorological observations. However, traditional applications suffer from information loss due to data processing and pay little attention to the interaction between meteorological indicators. In this…
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Keywords:
learning functional;
regression;
clustering regression;
meteorological indicators ... See more keywords