2025 preprint A Survey on Archetypal Analysis Aleix Alcacer*, Irene Epifanio*, Sebastian Mair*, and Morten Mørup* arXiv preprint arXiv:2504.12392, 2025 PDF TMLR Personalized Privacy Amplification via Importance Sampling Dominik Fay, Sebastian Mair, and Jens Sjölund Transactions on Machine Learning Research, 2025 HTML PDF Code 2024 preprint Explaining the Impact of Training on Vision Models via Activation Clustering Ahcène Boubekki, Samuel G Fadel, and Sebastian Mair arXiv preprint arXiv:2411.19700, 2024 PDF preprint Leveraging Activations for Superpixel Explanations Ahcène Boubekki, Samuel G Fadel, and Sebastian Mair arXiv preprint arXiv:2406.04933, 2024 PDF LoG Ising on the Graph: Task-specific Graph Subsampling via the Ising Model Maria Bånkestad, Jennifer Andersson, Sebastian Mair, and Jens Sjölund In The Third Learning on Graphs Conference, 2024 HTML PDF Code Phys.Med.Biol. Efficient radiation treatment planning based on voxel importance Sebastian Mair, Anqi Fu, and Jens Sjölund Physics in Medicine & Biology, Aug 2024 DOI HTML PDF Code ICML Towards General Geometries for Embedding Knowledge Graphs Samuel G Fadel, Tino Paulsen, and Sebastian Mair In ICML/ELLIS Workshop on Geometry-grounded Representation Learning and Generative Modeling, Aug 2024 Abs HTML PDF This is an extended abstract. TMLR Archetypal Analysis++: Rethinking the Initialization Strategy Sebastian Mair, and Jens Sjölund Transactions on Machine Learning Research, Aug 2024 HTML PDF Code AISTATS On Feynman–Kac training of partial Bayesian neural networks Zheng Zhao, Sebastian Mair, Thomas Schön, and Jens Sjölund In International Conference on Artificial Intelligence and Statistics, Aug 2024 PDF Code IDA Self-Supervised Siamese Autoencoders Friederike Baier, Sebastian Mair, and Samuel G Fadel In International Symposium on Intelligent Data Analysis, Aug 2024 DOI HTML PDF 2022 Berechnung effizienter Datenzusammenfassungen Sebastian Mair In Ausgezeichnete Informatikdissertationen 2021, Aug 2022 HTML PDF NLDL Studying the Propagation of Information in VAE Decoders Yannick Rudolph, Samuel G Fadel, Sebastian Mair, and Ulf Brefeld In Northern Lights Deep Learning Conference, Aug 2022 Abs PDF This is an extended abstract. 2021 thesis Computing Efficient Data Summaries Sebastian Mair Aug 2021 DOI HTML PDF AStA Contextual movement models based on normalizing flows Samuel G Fadel*, Sebastian Mair*, Ricardo Silva Torres, and Ulf Brefeld AStA Advances in Statistical Analysis, Aug 2021 DOI HTML PDF ECML Principled Interpolation in Normalizing Flows Samuel G Fadel*, Sebastian Mair*, Ricardo da S Torres, and Ulf Brefeld In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Aug 2021 DOI HTML PDF Video Poster Slides 2020 chapter Analyzing Positional Data Ulf Brefeld, Jan Lasek, and Sebastian Mair In Science meets Sports : when Statistics are more than Numbers, Aug 2020 HTML NLDL Efficient Normalizing Flows to Polytopes Sebastian Mair, Samuel G Fadel, Ricardo da S Torres, and Ulf Brefeld In Northern Lights Deep Learning Workshop, Aug 2020 Abs This is an extended abstract. NLDL An Appropriate Prior Distribution for Interpolating Latent Samples in Flow-based Generative Models Samuel G Fadel, Sebastian Mair, Ricardo da S Torres, and Ulf Brefeld In Northern Lights Deep Learning Workshop, Aug 2020 Abs This is an extended abstract. 2019 NeurIPS Coresets for Archetypal Analysis Sebastian Mair, and Ulf Brefeld In Advances in Neural Information Processing Systems, Aug 2019 HTML PDF Supp Code Poster ECML HyperUCB: Hyperparameter Optimization using Contextual Bandits Maryam Tavakol, Sebastian Mair, and Katharina Morik In ECML-PKDD Workshop on Automating Data Science, Aug 2019 DOI HTML MachLearn Probabilistic movement models and zones of control Ulf Brefeld, Jan Lasek, and Sebastian Mair Machine Learning, Aug 2019 DOI HTML PDF 2018 KAIS Distributed robust Gaussian process regression Sebastian Mair, and Ulf Brefeld Knowledge and Information Systems, Aug 2018 DOI HTML PDF ECML Frame-Based Optimal Design Sebastian Mair, Yannick Rudolph, Vanessa Closius, and Ulf Brefeld In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Aug 2018 DOI HTML PDF ICML Exploiting the Frame for Active Learning in Multi-class Classification Sebastian Mair, and Ulf Brefeld In ICML Workshop on Geometry in Machine Learning, Aug 2018 Abs PDF This is an abstract. 2017 KDML Frame-based Matrix Factorizations Sebastian Mair, Ahcène Boubekki, and Ulf Brefeld In LWDA Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML), Aug 2017 Abs PDF This is an abstract. ICML Frame-based data factorizations Sebastian Mair, Ahcène Boubekki, and Ulf Brefeld In International Conference on Machine Learning, Aug 2017 HTML PDF 2015 IHMMSEC Universal threshold calculation for fingerprinting decoders using mixture models Marcel Schäfer, Sebastian Mair, Waldemar Berchtold, and Martin Steinebach In Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security, Aug 2015 DOI HTML PDF