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