MLVis 2026
Machine Learning Methods in Visualisation for Big Data 2026
June 8, 2026, Co-located with EuroVis 2026, Nottingham, United Kingdom
Machine Learning Methods in Visualisation for Big Data will be held as part of EuroVis 2026 in Nottingham, United Kingdom. The eleventh 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 2026 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: April 16, 2026
- Notification deadline: April 28, 2026
- Camera-ready deadline: May 5, 2026
- Workshop date: June 8, 2026
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 2026 LaTeX style, with an additional page allowed for references. Papers are to be submitted via the new PCS at: https://new.precisionconference.com/ (when making your submission, choose society “Eurographics”, conference/journal “EuroVis 2026” and track “EuroVis 2026 MLVis”, then click “Go”). All submissions must be original works that have not been published previously in any conference proceedings, magazine, journal, or edited book. The submissions do not need to be blind.
Publication
At least one author of an accepted paper must register and participate in the MLVis 2026 workshop to present the accepted work.
Proceedings will be published by the Eurographics Association, and be stored on the Eurographics Digital Library.
Programme
Our keynote speaker will be Cagatay Turkay (University of Warwick, UK).
Detailed programme:
- 09:00-09:05 Opening
- 09:05-10:05 Keynote (Cagatay Turkay)
- 10:05-10:15 Questions
- 10:15-10:30 Contributed paper: “Opening the Model Building Loop: Explaining the Role of Visual Model Estimation and Validation in Visual Analytics Pipelines” (Daniel Braun and Tatiana von Landesberger)
- 10:30-11:00 Coffee break
- 11:00-11:15 Contributed paper: “Parameter Space Analysis through Guided Visual Interpolations” (Benedikt Kantz, Peter Waldert, Stefan Lengauer, Clemens Staudinger, Stefan Schuster, and Tobias Schreck)
- 11:15-11:30 Contributed paper: “Visual Analysis of Semantic Paraphrase Embebdding Projection Stability” (Manuel Schmidt, Daniel A Keim, and Frederik L. Dennig)
- 11:30-11:45 Contributed paper: “Integrating Gridded Glyph Maps and Self-Organizing Maps for Spatiotemporal Analysis” (Julius Rauscher, Frederik L. Dennig, Udo Schlegel, Daniel A Keim, and Tobias Schreck)
- 11:45-12:00 Contributed paper: “Judging Lines, Ignoring Noise? Human Approach to Outliers in Visual Regression Validation” (Daniel Braun, Dominik Eberle, Remco Chang, Michael Gleicher, and Tatiana von Landesberger)
- 12:00-12:30 Panel
Organising Committee
- Daniel Archambault (Newcastle University, United Kingdom)
- Ian Nabney (University of Bristol, United Kingdom)
- Jaakko Peltonen (Tampere University, Finland)
International Program Committee
- Barbara Hammer (Bielefeld University, Germany)
- Helwig Hauser (University of Bergen, Norway)
- John A. Lee (Université catholique de Louvain, Belgium)
- Cagatay Turkay (University of Warwick, UK)
- Michel Verleysen (Université catholique de Louvain, Belgium)
- Yong Wang (Nanyang Technological University Singapore)