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Michael Kamp
Michael Kamp
Institute for AI in Medicine (IKIM) at UK Essen and Ruhr-University Bochum
Bestätigte E-Mail-Adresse bei uk-essen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
8112021
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
1592018
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
1502017
Relative Flatness and Generalization
H Petzka, M Kamp, L Adilova, C Sminchisescu, M Boley
Advances in Neural Information Processing Systems 34, 2021
682021
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
482014
Federated Learning from Small Datasets
M Kamp, J Fischer, J Vreeken
International Conference on Learning Representations (ICLR), 2023
322023
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
242013
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
232022
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
182017
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, ...
arXiv preprint arXiv:2308.16139, 2023
162023
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
132021
Layer-wise linear mode connectivity
L Adilova, M Andriushchenko, M Kamp, A Fischer, M Jaggi
International Conference on Learning Representations (ICLR), 2024
122024
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
112016
Black-Box Parallelization for Machine Learning
M Kamp
Rheinische Friedrich-Wilhelms-Universität Bonn, 2019
92019
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
72023
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
72019
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
72019
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
HOPS: Probabilistic Subtree Mining for Small and Large Graphs
P Welke, F Seiffarth, M Kamp, S Wrobel
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
62020
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