{
  "id": "1907.11105",
  "version": "v1",
  "published": "2019-07-24T09:15:01.000Z",
  "updated": "2019-07-24T09:15:01.000Z",
  "title": "The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge",
  "authors": [
    "Raoul Heese",
    "Michał Walczak",
    "Lukas Morand",
    "Dirk Helm",
    "Michael Bortz"
  ],
  "comment": "International Conference on Artificial Neural Networks (ICANN) 2019",
  "categories": [
    "cs.LG",
    "stat.ML"
  ],
  "abstract": "We address a non-unique parameter fitting problem in the context of material science. In particular, we propose to resolve ambiguities in parameter space by augmenting a black-box artificial neural network (ANN) model with two different levels of expert knowledge and benchmark them against a pure black-box model.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2019-07-24T09:15:01.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "expert knowledge",
      "black-box artificial neural network",
      "pure black-box model",
      "augmenting",
      "non-unique parameter fitting problem"
    ],
    "tags": [
      "conference paper"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}