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Sebastian Mair
Sebastian Mair
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Title
Cited by
Cited by
Year
Probabilistic movement models and zones of control
U Brefeld, J Lasek, S Mair
Machine Learning 108 (1), 127-147, 2019
502019
Frame-based data factorizations
S Mair, A Boubekki, U Brefeld
International Conference on Machine Learning, 2305-2313, 2017
222017
Coresets for archetypal analysis
S Mair, U Brefeld
Advances in Neural Information Processing Systems, 7247-7255, 2019
152019
Distributed robust Gaussian Process regression
S Mair, U Brefeld
Knowledge and Information Systems 55 (2), 415-435, 2018
92018
Contextual movement models based on normalizing flows
SG Fadel, S Mair, R da Silva Torres, U Brefeld
AStA Advances in Statistical Analysis 107 (1), 51-72, 2023
72023
Self-supervised siamese autoencoders
F Baier, S Mair, SG Fadel
International Symposium on Intelligent Data Analysis, 117-128, 2024
42024
Universal threshold calculation for fingerprinting decoders using mixture models
M Schäfer, S Mair, W Berchtold, M Steinebach
Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia …, 2015
42015
Principled Interpolation in Normalizing Flows
SG Fadel, S Mair, R da S. Torres, U Brefeld
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
32021
HyperUCB: Hyperparameter Optimization using Contextual Bandits
M Tavakol, S Mair, K Morik
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
22019
Frame-Based Optimal Design
S Mair, Y Rudolph, V Closius, U Brefeld
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
22018
Computing efficient data summaries
S Mair
12022
Efficient Radiation Treatment Planning based on Voxel Importance
S Mair, A Fu, J Sjölund
arXiv preprint arXiv:2405.03880, 2024
2024
On Feynman-Kac training of partial Bayesian neural networks
Z Zhao, S Mair, TB Schön, J Sjölund
International Conference on Artificial Intelligence and Statistics, 3223-3231, 2024
2024
Archetypal Analysis++: Rethinking the Initialization Strategy
S Mair, J Sjölund
Transactions on Machine Learning Research, 2024
2024
Ising on the Graph: Task-specific Graph Subsampling via the Ising Model
M Bånkestad, J Andersson, S Mair, J Sjölund
arXiv preprint arXiv:2402.10206, 2024
2024
Personalized Privacy Amplification via Importance Sampling
D Fay, S Mair, J Sjölund
arXiv preprint arXiv:2307.10187, 2023
2023
Berechnung effizienter Datenzusammenfassungen
S Mair
Ausgezeichnete Informatikdissertationen 2021, 2022
2022
Studying the Propagation of Information in VAE Decoders
Y Rudolph, SG Fadel, S Mair, U Brefeld
Northern Lights Deep Learning Conference (extended abstract), 2022
2022
Exploiting the Frame for Active Learning in Multi-class Classification
S Mair, U Brefeld
Geometry in Machine Learning Workshop @ ICML, 2018
2018
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Articles 1–19