| Probabilistic movement models and zones of control U Brefeld, J Lasek, S Mair Machine Learning 108 (1), 127-147, 2019 | 32 | 2019 |
| Frame-based data factorizations S Mair, A Boubekki, U Brefeld International Conference on Machine Learning, 2305-2313, 2017 | 16 | 2017 |
| Frame-based Data Factorizations S Mair, A Boubekki, U Brefeld | 16* | |
| Coresets for archetypal analysis S Mair, U Brefeld Advances in Neural Information Processing Systems, 7247-7255, 2019 | 8 | 2019 |
| Distributed robust Gaussian Process regression S Mair, U Brefeld Knowledge and Information Systems 55 (2), 415-435, 2018 | 6 | 2018 |
| 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 | 3 | 2015 |
| Contextual movement models based on normalizing flows SG Fadel, S Mair, R da Silva Torres, U Brefeld AStA Advances in Statistical Analysis, 1-22, 2021 | 1 | 2021 |
| HyperUCB: Hyperparameter Optimization using Contextual Bandits M Tavakol, S Mair, K Morik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 1 | 2019 |
| Studying the Propagation of Information in VAE Decoders Y Rudolph, SG Fadel, S Mair, U Brefeld | | 2022 |
| Principled Interpolation in Normalizing Flows SG Fadel, S Mair, R S Torres, U Brefeld Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | | 2021 |
| Frame-Based Optimal Design S Mair, Y Rudolph, V Closius, U Brefeld Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | | 2018 |
| Exploiting the Frame for Active Learning in Multi-class Classification S Mair, U Brefeld Geometry in Machine Learning Workshop @ ICML, 2018 | | 2018 |
Ulf BrefeldLeuphana Universität LüneburgVerified email at leuphana.de
