| FedBN: Federated Learning on non-IID Features via Local Batch Normalization X Li, M Jiang, X Zhang, M Kamp, Q Dou International Conference on Learning Representations, 2021 | 970 | 2021 |
| Efficient Decentralized Deep Learning by Dynamic Model Averaging M Kamp, L Adilova, J Sicking, F Hüger, P Schlicht, T Wirtz, S Wrobel Joint European Conference on Machine Learning and Principles and Practice of …, 2018 | 163 | 2018 |
| Issues in complex event processing: Status and prospects in the Big Data era I Flouris, N Giatrakos, A Deligiannakis, M Garofalakis, M Kamp, M Mock Journal of Systems and Software 127, 217-236, 2017 | 155 | 2017 |
| Relative Flatness and Generalization H Petzka, M Kamp, L Adilova, C Sminchisescu, M Boley Advances in Neural Information Processing Systems 34, 2021 | 83 | 2021 |
| Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization M Kamp, M Boley, D Keren, A Schuster, I Sharfman European Conference on Machine Learning and Principles and Practice of …, 2014 | 48 | 2014 |
| Federated Learning from Small Datasets M Kamp, J Fischer, J Vreeken International Conference on Learning Representations (ICLR), 2023 | 41 | 2023 |
| When, where and how does it fail? a spatial-temporal visual analytics approach for interpretable object detection in autonomous driving J Wang, Y Li, Z Zhou, C Wang, Y Hou, L Zhang, X Xue, M Kamp, ... IEEE Transactions on Visualization and Computer Graphics 29 (12), 5033-5049, 2022 | 27 | 2022 |
| MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision J Li, Z Zhou, J Yang, A Pepe, C Gsaxner, G Luijten, C Qu, T Zhang, ... Biomedical Engineering/Biomedizinische Technik, 2024 | 26 | 2024 |
| Privacy-preserving mobility monitoring using sketches of stationary sensor readings M Kamp, C Kopp, M Mock, M Boley, M May Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 24 | 2013 |
| STONES: Stochastic Technique for Generating Songs M Kamp, A Manea Workshop on Constructive Machine Learning (CML) at the Neural Information …, 2013 | 22* | 2013 |
| Effective Parallelisation for Machine Learning M Kamp, M Boley, O Missura, T Gärtner Advances in Neural Information Processing Systems, 6459-6470, 2017 | 19 | 2017 |
| Approaches to Uncertainty Quantification in Federated Deep Learning F Linsner, L Adilova, S Däubener, M Kamp, A Fischer Workshop on Parallel, Distributed, and Federated Learning (PDFL) at ECMLPKDD, 2021 | 18 | 2021 |
| Layer-wise linear mode connectivity L Adilova, M Andriushchenko, M Kamp, A Fischer, M Jaggi International Conference on Learning Representations (ICLR), 2024 | 15 | 2024 |
| Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments O Mian, M Kamp, J Vreeken Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023 | 13* | 2023 |
| Communication-efficient distributed online learning with kernels M Kamp, S Bothe, M Boley, M Mock Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 11 | 2016 |
| A Reparameterization-Invariant Flatness Measure for Deep Neural Networks H Petzka, L Adilova, M Kamp, C Sminchisescu Science meets Engineering of Deep Learning workshop at NeurIPS, 2019 | 10 | 2019 |
| Black-Box Parallelization for Machine Learning M Kamp Rheinische Friedrich-Wilhelms-Universität Bonn, 2019 | 9 | 2019 |
| Nothing but Regrets - Privacy-Preserving Federated Causal Discovery O Mian, D Kaltenpoth, M Kamp, J Vreeken International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 | 7 | 2023 |
| System Misuse Detection via Informed Behavior Clustering and Modeling L Adilova, L Natious, S Chen, O Thonnard, M Kamp 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems …, 2019 | 7 | 2019 |
| Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings … M Kamp, I Koprinska, A Bibal, T Bouadi, B Frénay, L Galárraga, J Oramas, ... Springer Nature, 2022 | 6* | 2022 |
Linara AdilovaPhD student, Ruhr University Bochumruhr-uni-bochum.de의 이메일 확인됨