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@INPROCEEDINGS{Kim:916214,
      author       = {Kim, Jangho and Unger, Wolfgang},
      title        = {{E}rror reduction using machine learning on {I}sing worm
                      simulation},
      reportid     = {FZJ-2022-06015},
      pages        = {018},
      year         = {2022},
      note         = {8 pages, 18 figures, 39th International Symposium on
                      Lattice Field Theory, LATTICE2022 8th-13th August 2022,
                      Bonn, Germany},
      abstract     = {We develop a method to improve on the statistical errors
                      for higher moments using machine learning techniques. We
                      present here results for the dual representation of the
                      Ising model with an external field, derived via the high
                      temperature expansion and simulated by the worm algorithm.
                      We compare two ways of measuring the same set of
                      observables, without and with machine learning: moments of
                      the magnetization and the susceptibility can be improved by
                      using the decision tree method to train the correlations
                      between the higher moments and the second moment obtained
                      from an integrated 2-point function. Those results are
                      compared in small volumes to analytic predictions.},
      month         = {Aug},
      date          = {2022-08-08},
      organization  = {The 39th International Symposium on
                       Lattice Field Theory, LATTICE2022, Bonn
                       (Germany), 8 Aug 2022 - 13 Aug 2022},
      cin          = {IAS-4},
      cid          = {I:(DE-Juel1)IAS-4-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)8},
      eprint       = {2212.02365},
      howpublished = {arXiv:2212.02365},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:2212.02365;\%\%$},
      url          = {https://juser.fz-juelich.de/record/916214},
}