| On the regularization of Wasserstein GANs H Petzka, A Fischer, D Lukovnicov arXiv preprint arXiv:1709.08894, 2017 | 285 | 2017 |
| Maschinelles Lernen. Eine Analyse zu Kompetenzen, Forschung und Anwendung I Döbel, M Leis, MM Vogelsang, D Neustroev, H Petzka, A Riemer, ... Fraunhofer-Gesellschaft, München, 2018 | 142* | 2018 |
| Relative flatness and generalization H Petzka, M Kamp, L Adilova, C Sminchisescu, M Boley Advances in Neural Information Processing Systems 34, 18420-18432, 2021 | 68 | 2021 |
| Plasma S1P (Sphingosine-1-Phosphate) Links to Hypertension and Biomarkers of Inflammation and Cardiovascular Disease: Findings From a Translational Investigation A Jujic, F Matthes, L Vanherle, H Petzka, M Orho-Melander, PM Nilsson, ... Hypertension 78 (1), 195-209, 2021 | 22 | 2021 |
| Notes on the Symmetries of 2-Layer ReLU-Networks H Petzka, M Trimmel, C Sminchisescu Proceedings of the Northern Lights Deep Learning Workshop 1, 6-6, 2020 | 15 | 2020 |
| MOCHA2017: The Mighty Storage Challenge at ESWC 2017 K Georgala, M Spasić, M Jovanovik, H Petzka, M Röder, ACN Ngomo Semantic Web Evaluation Challenge, 3-15, 2017 | 15 | 2017 |
| TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks M Trimmel, H Petzka, C Sminchisescu International Conference on Learning Representations, 2020 | 14 | 2020 |
| Geometric structure of dimension functions of certain continuous fields R Antoine, J Bosa, F Perera, H Petzka Journal of Functional Analysis 266 (4), 2403-2423, 2014 | 14 | 2014 |
| The Tale of Sansa Spark I Ermilov, J Lehmann, G Sejdiu, L Bühmann, P Westphal, C Stadler, S Bin, ... | 13* | |
| Non-attracting regions of local minima in deep and wide neural networks H Petzka, C Sminchisescu The Journal of Machine Learning Research 22 (1), 6352-6385, 2021 | 12 | 2021 |
| Benchmarking Faceted Browsing Capabilities of Triplestores H Petzka, C Stadler, G Katsimpras, B Haarmann, J Lehmann Proceedings of the 13th International Conference on Semantic Systems, 128-135, 2017 | 9 | 2017 |
| A Reparameterization-Invariant Flatness Measure for Deep Neural Networks H Petzka, L Adilova, M Kamp, C Sminchisescu arXiv preprint arXiv:1912.00058, 2019 | 7 | 2019 |
| Comparison Properties of the Cuntz Semigroup and Applications to C*-algebras J Bosa, H Petzka Canadian Journal of Mathematics 70 (1), 26-52, 2018 | 7 | 2018 |
| Automatic extraction of BEL-Statements based on neural networks M Ali, S Madan, A Fischer, H Petzka, J Fluck Proceedings of the sixth BioCreative challenge evaluation workshop …, 2017 | 6 | 2017 |
| The Blackadar–Handelman theorem for non-unital C⁎-algebras H Petzka Journal of Functional Analysis 264 (7), 1547-1564, 2013 | 3 | 2013 |
| Perforation conditions and almost algebraic order in Cuntz semigroups R Antoine, F Perera, H Petzka Proceedings of the Royal Society of Edinburgh Section A: Mathematics 148 (4 …, 2018 | 2 | 2018 |
| A Mighty Dataset for Stress-Testing Question Answering Systems B Haarmann, C Martens, H Petzka, G Napolitano 2018 IEEE 12th International Conference on Semantic Computing (ICSC), 278-281, 2018 | 2 | 2018 |
| FAM: Relative Flatness Aware Minimization L Adilova, A Abourayya, J Li, A Dada, H Petzka, J Egger, J Kleesiek, ... Topological, Algebraic and Geometric Learning Workshops 2023, 37-49, 2023 | 1 | 2023 |
| Discriminating Against Unrealistic Interpolations in Generative Adversarial Networks H Petzka, T Kronvall, C Sminchisescu arXiv preprint arXiv:2203.01035, 2022 | 1 | 2022 |
| On certain multiplier projections H Petzka Journal of Operator Theory, 257-275, 2014 | 1 | 2014 |
