7 citations to https://www.mathnet.ru/rus/njp5
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Moon-Hyun Cha, Jeongwoon Hwang, “Graph convolutional network-based unsupervised learning of percolation transition”, Computational Materials Science, 248 (2025), 113600
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Filippo Caleca, Simone Tibaldi, Elisa Ercolessi, “Three-Phase Confusion Learning”, Entropy, 27:2 (2025), 199
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George Issa, Owen Bradley, Ehsan Khatami, Richard Scalettar, “Learning by confusion: The phase diagram of the Holstein model”, Phys. Rev. B, 111:15 (2025)
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Dilina Perera, Samuel McAllister, Joan Josep Cerdà, Thomas Vogel, “Confusion-Driven Machine Learning of Structural Phases of a Flexible, Magnetic Stockmayer Polymer”, J. Chem. Theory Comput., 2025
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Felix Frohnert, Evert van Nieuwenburg, “Explainable representation learning of small quantum states”, Mach. Learn.: Sci. Technol., 5:1 (2024), 015001
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Julian Arnold, Frank Schäfer, Alan Edelman, Christoph Bruder, “Mapping Out Phase Diagrams with Generative Classifiers”, Phys. Rev. Lett., 132:20 (2024)
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Monika Richter-Laskowska, Marcin Kurpas, Maciej M. Maśka, “Learning by confusion approach to identification of discontinuous phase transitions”, Phys. Rev. E, 108:2 (2023)