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Sebastian Mair

Assistant Professor

In my research, I am interested in statistical machine learning, especially in efficient representations of data.

I am an Assistant Professor at the Division of Statistics and Machine Learning at Linköping University, Sweden.

In my research, I am interested in statistical machine learning and especially in efficient representations of data.

Please refer to my personal website for more information.

Publications

2026

Ahcène Boubekki, Samuel G. Fadel, Sebastian Mair (2026) Multi-depth Concept Extraction for Post-Hoc Vision Encoder Explanation Machine Learning and Knowledge Discovery in Databases. Research Track.: ECML PKDD 2026, p. 449-467 (Conference paper) https://dx.doi.org/10.1007/978-3-032-37664-0_26
Sophia N. Wilson, Andrew Millard, Guðrún Fjóla Guðmundsdóttir, Raghavendra Selvan, Sebastian Mair (2026) Position: Stop Preaching and Start Practising Data Frugality for Responsible Development of AI Proceedings of the 43rd International Conference on Machine Learning, p. 172585-172604 (Conference paper)
Aleix Alcacer, Irene Epifanio, Sebastian Mair, Morten Morup (2026) A Survey on Archetypal Analysis IEEE Transactions on Pattern Analysis and Machine Intelligence, p. 1-20 (Article, review/survey) https://dx.doi.org/10.1109/tpami.2026.3740133
Sophia N. Wilson, Sebastian Mair, Mophat Okinyi, Erik B. Dam, Janin Koch, Raghavendra Selvan (2026) How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, p. 441-466 (Conference paper) https://dx.doi.org/10.1145/3805689.3812393
Cornelia C. Käsbohrer, Sebastian Mair, Lili Jiang (2026) Assessing the Fragility of SHAP-Based Model Explanations Using Counterfactuals Proceedings of Machine Learning Research: Proceedings of the 7th Northern Lights Deep Learning Conference (NLDL), p. 211-234 (Conference paper)

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