MLVis 2023<br><h4>Machine Learning Methods in Visualisation for Big Data 2023<br>12 June 2023, Co-located with EuroVis 2023, Leipzig, Germany</h4>

MLVis 2023

Machine Learning Methods in Visualisation for Big Data 2023

12 June 2023, Co-located with EuroVis 2023, Leipzig, Germany

Machine Learning Methods in Visualisation will be held as part of EuroVis 2023 in Leipzig, Germany. The eighth edition of this co-located event will be part-tutorial and part-workshop so as to increase the interaction between researchers.

Part of the MLVis 2023 programme will consist of short papers.

We solicit short papers on machine learning methods in visualisation from both the machine learning and visualisation communities, addressing how the two technologies can be used together to provide greater insight to end users.

Topics include but are not limited to: Explainable Machine Learning, Dimensionality Reduction, Visualisation of Clustering, Regression, and Classification, Steerable Machine Learning, Visualisation to Improve Machine Learning Models, Automation of Visualisation and Visual Analytics, Visualisation and Machine Learning in Text Analytics, Visualisation in Online Machine Learning

Important Dates

  • Submission deadline (extended): April 28, 2023
  • Notification deadline: May 12, 2023
  • Camera-ready deadline: May 19, 2023

All submission deadlines are at 23:59 Anywhere on Earth on the date indicated.

Submission Guidelines

Paper submissions for MLVis should be at most 4 pages in the MLVis 2023 LaTeX style, with an additional page allowed for references. All submissions must be original works that have not been published previously in any conference proceedings, magazine, journal, or edited book. Papers are to be submitted via the new PCS at: (when making your submission, choose society “Eurographics”, conference/journal “EuroVis 2023” and track “EuroVis 2023 MLVis”, then click “Go”). The submissions do not need to be blind.


At least one author of an accepted paper must register and participate in the MLVis 2023 workshop to present the accepted work.

Proceedings will be published by the Eurographics Association, and be stored on the Eurographics Digital Library.


  • 14:00-14:15 Welcome and Introduction (Ian Nabney)
  • 14:15-15:15 Keynote talk by Hans Binder and Q&A: Genomic Maps – Visualization-driven analysis of big data in the life sciences and in biomedicine
  • 15:15-15:30 Tutorial 1: Supervision and fairness in neighbor embedding (Jaakko Peltonen)
  • 15:30-16:00 Coffee break
  • 16:00-16:20 Contributed paper talk: Interactive dense pixel visualizations for time series and model attribution explanations. Presenter: Udo Schlegel
  • 16:20-16:35 Tutorial 2: Evaluation of data projection methods (Ian Nabney)
  • 16:35-16:50 Tutorial 3: Perception of order in visualisation (Daniel Archambault)
  • 16:50-17:30 Panel discussion

Organising Committee

International Program Committee

  • Rita Borgo (King’s College London, UK)
  • Barbara Hammer (Bielefeld University, Germany)
  • John A. Lee (Université catholique de Louvain, Belgium)
  • Mike Tipping (University of Bath, UK)
  • Michel Verleysen (Université catholique de Louvain, Belgium)
  • Yong Wang (Singapore Management University, Singapore)

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