Sebastian Mair

According to our database, Sebastian Mair authored at least 20 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Survey on Archetypal Analysis.

Aleix Alcacer, Irene Epifanio, Sebastian Mair, Morten Mørup

CoRR, April, 2025

Personalized Privacy Amplification via Importance Sampling.

Dominik Fay, Sebastian Mair, Jens Sjölund

Trans. Mach. Learn. Res., 2025

2024

Archetypal Analysis++: Rethinking the Initialization Strategy.

Sebastian Mair, Jens Sjölund

Trans. Mach. Learn. Res., 2024

Explaining the Impact of Training on Vision Models via Activation Clustering.

Ahcène Boubekki, Samuel G. Fadel, Sebastian Mair

CoRR, 2024

Leveraging Activations for Superpixel Explanations.

Ahcène Boubekki, Samuel G. Fadel, Sebastian Mair

CoRR, 2024

Efficient Radiation Treatment Planning based on Voxel Importance.

Sebastian Mair, Anqi Fu, Jens Sjölund

CoRR, 2024

Ising on the Graph: Task-Specific Graph Subsampling via the Ising Model.

Maria Bånkestad, Jennifer R. Andersson, Sebastian Mair, Jens Sjölund

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Self-supervised Siamese Autoencoders.

Friederike Baier, Sebastian Mair, Samuel G. Fadel

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

On Feynman-Kac training of partial Bayesian neural networks.

Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Privacy Amplification via Importance Sampling.

Dominik Fay, Sebastian Mair, Jens Sjölund

CoRR, 2023

2022

Computing efficient data summaries.

Sebastian Mair

PhD thesis, 2022

2021

Berechnung effizienter Datenzusammenfassungen.

Sebastian Mair

Proceedings of the Ausgezeichnete Informatikdissertationen 2021., 2021

Principled Interpolation in Normalizing Flows.

Samuel G. Fadel, Sebastian Mair, Ricardo da Silva Torres, Ulf Brefeld

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2019

Probabilistic movement models and zones of control.

Ulf Brefeld, Jan Lasek, Sebastian Mair

Mach. Learn., 2019

HyperUCB: Hyperparameter Optimization Using Contextual Bandits.

Maryam Tavakol, Sebastian Mair, Katharina Morik

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Coresets for Archetypal Analysis.

Sebastian Mair, Ulf Brefeld

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Distributed robust Gaussian Process regression.

Sebastian Mair, Ulf Brefeld

Knowl. Inf. Syst., 2018

Frame-Based Optimal Design.

Sebastian Mair, Yannick Rudolph, Vanessa Closius, Ulf Brefeld

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

Frame-based Data Factorizations.

Sebastian Mair, Ahcène Boubekki, Ulf Brefeld

Proceedings of the 34th International Conference on Machine Learning, 2017

2015

Universal Threshold Calculation for Fingerprinting Decoders using Mixture Models.

Marcel Schäfer, Sebastian Mair, Waldemar Berchtold, Martin Steinebach

Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security, 2015