April 29, 2026 Software Open Access

Creutzburg, Sascha; Rustamov, Jeyhun; Bornschein, Jens; Ganeva, Marina; Gerlach, Alexander; Häusler, Stefan; Helm, Bernd; Hinderhofer, Alexander; Juzak, Robert; Koutsioumpas, Alexandros; Munteanu, Valentin; Pandit, Vedhas; Schreiber, Frank; Mothes, Nico; Kelling, Jeffrey

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{
  "issued": {
    "date-parts": [
      [
        2026, 
        4, 
        29
      ]
    ]
  }, 
  "author": [
    {
      "family": "Creutzburg, Sascha"
    }, 
    {
      "family": "Rustamov, Jeyhun"
    }, 
    {
      "family": "Bornschein, Jens"
    }, 
    {
      "family": "Ganeva, Marina"
    }, 
    {
      "family": "Gerlach, Alexander"
    }, 
    {
      "family": "H\u00e4usler, Stefan"
    }, 
    {
      "family": "Helm, Bernd"
    }, 
    {
      "family": "Hinderhofer, Alexander"
    }, 
    {
      "family": "Juzak, Robert"
    }, 
    {
      "family": "Koutsioumpas, Alexandros"
    }, 
    {
      "family": "Munteanu, Valentin"
    }, 
    {
      "family": "Pandit, Vedhas"
    }, 
    {
      "family": "Schreiber, Frank"
    }, 
    {
      "family": "Mothes, Nico"
    }, 
    {
      "family": "Kelling, Jeffrey"
    }
  ], 
  "version": "rodare-1", 
  "DOI": "10.14278/rodare.4633", 
  "id": "4633", 
  "type": "article", 
  "title": "VIPR (Versatile Inverse Problem Software Framework) unified demonstrator", 
  "publisher": "Rodare", 
  "abstract": "<p>VIPR (Versatile Inverse Problem Software Framework) is a plugin-based framework for reproducible machine-learning-driven solutions to scientific inverse problems. It addresses ill-posed reconstruction tasks caused by loss of phase information during measurement, where direct inversion is not possible. It implements a modular architecture with domain-specific plugins to produce configurable machine learning workflows, including both deterministic and probabilistic models. Workflows are defined via declarative YAML configurations and can be executed through a command-line interface or a containerized web application. For a given experimental dataset, VIPR produces standardized analysis artifacts, including visualizations and statistical summaries.</p>"
}