Publications

2020

Heppe, Lukas; Kamp, Michael; Adilova, Linara; Piatkowski, Nico; Heinrich, Danny; Morik, Katharina

Resource-Constrained On-Device Learning by Dynamic Averaging (Workshop)

Proceedings of the Workshop on Parallel, Distributed, and Federated Learning (PDFL) at ECMLPKDD, 2020.

(Links | BibTeX | Tags: black-box parallelization, distributed learning, edge computing, embedded, exponential family, FPGA, resource-efficient)

Petzka, Henning; Adilova, Linara; Kamp, Michael; Sminchisescu, Cristian

Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks (Unpublished)

2020.

(Links | BibTeX | Tags: deep learning, flatness, generalization, learning theory, loss surface, neural networks, robustness)

Welke, Pascal; Seiffarth, Florian; Kamp, Michael; Wrobel, Stefan

HOPS: Probabilistic Subtree Mining for Small and Large Graphs (Inproceedings)

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 1275–1284, Association for Computing Machinery, Virtual Event, CA, USA, 2020, ISBN: 9781450379984.

(Abstract | Links | BibTeX | Tags: )

2019

Kamp, Michael

Black-Box Parallelization for Machine Learning (PhD Thesis)

Universitäts-und Landesbibliothek Bonn, 2019.

(Abstract | Links | BibTeX | Tags: averaging, black-box, communication-efficient, convex optimization, deep learning, distributed, dynamic averaging, federated, learning theory, machine learning, parallelization, privacy, radon machine)

Adilova, Linara; Natious, Livin; Chen, Siming; Thonnard, Olivier; Kamp, Michael

System Misuse Detection via Informed Behavior Clustering and Modeling (Workshop)

2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), IEEE 2019.

(Links | BibTeX | Tags: anomaly detection, cybersecurity, DiSIEM, security, user behavior modelling, visualization)

Petzka, Henning; Adilova, Linara; Kamp, Michael; Sminchisescu, Cristian

A Reparameterization-Invariant Flatness Measure for Deep Neural Networks (Workshop)

Science meets Engineering of Deep Learning workshop at NeurIPS, 2019.

(Links | BibTeX | Tags: deep learning, flatness, generalization, learning theory, loss surface, neural networks, robustness)

Adilova, Linara; Rosenzweig, Julia; Kamp, Michael

Information Theoretic Perspective of Federated Learning (Workshop)

NeurIPS Workshop on Information Theory and Machine Learning, 2019.

(Links | BibTeX | Tags: )

2018

Giesselbach, Sven; Ullrich, Katrin; Kamp, Michael; Paurat, Daniel; Gärtner, Thomas

Corresponding Projections for Orphan Screening (Workshop)

Proceedings of the ML4H workshop at NeurIPS, 2018.

(Links | BibTeX | Tags: corresponding projections, transfer learning, unsupervised)

Nguyen, Phong H; Chen, Siming; Andrienko, Natalia; Kamp, Michael; Adilova, Linara; Andrienko, Gennady; Thonnard, Olivier; Bessani, Alysson; Turkay, Cagatay

Designing Visualisation Enhancements for SIEM Systems (Workshop)

15th IEEE Symposium on Visualization for Cyber Security – VizSec, 2018.

(Links | BibTeX | Tags: DiSIEM, SIEM, visual analytics, visualization)

Kamp, Michael; Adilova, Linara; Sicking, Joachim; Hüger, Fabian; Schlicht, Peter; Wirtz, Tim; Wrobel, Stefan

Efficient Decentralized Deep Learning by Dynamic Model Averaging (Inproceedings)

Machine Learning and Knowledge Discovery in Databases, Springer, 2018.

(Abstract | Links | BibTeX | Tags: decentralized, deep learning, federated learning)

2017

Gunar Ernis, Michael Kamp

Machine Learning für die smarte Produktion (Journal Article)

VDMA-Nachrichten, pp. 36-37, 2017.

(Links | BibTeX | Tags: industry 4.0, machine learning, smart production)

Flouris, Ioannis; Giatrakos, Nikos; Deligiannakis, Antonios; Garofalakis, Minos; Kamp, Michael; Mock, Michael

Issues in Complex Event Processing: Status and Prospects in the Big Data Era (Journal Article)

Journal of Systems and Software, 2017.

(BibTeX | Tags: )

Kamp, Michael; Boley, Mario; Missura, Olana; Gärtner, Thomas

Effective Parallelisation for Machine Learning (Inproceedings)

Advances in Neural Information Processing Systems, pp. 6480–6491, 2017.

(Abstract | Links | BibTeX | Tags: decentralized, distributed, machine learning, parallelization, radon)

Ullrich, Katrin; Kamp, Michael; Gärtner, Thomas; Vogt, Martin; Wrobel, Stefan

Co-regularised support vector regression (Inproceedings)

Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 338–354, Springer 2017.

(Links | BibTeX | Tags: co-regularization, transfer learning, unsupervised)

2016

Kamp, Michael ; Bothe, Sebastian ; Boley, Mario ; Mock, Michael

Communication-Efficient Distributed Online Learning with Kernels (Conference)

Machine Learning and Knowledge Discovery in Databases, Springer International Publishing, 2016.

(Abstract | Links | BibTeX | Tags: communication-efficient, distributed, dynamic averaging, federated learning, kernel methods, parallelization)

Ullrich, Katrin; Kamp, Michael; Gärtner, Thomas; Vogt, Martin; Wrobel, Stefan

Ligand-based virtual screening with co-regularised support Vector Regression (Inproceedings)

2016 IEEE 16th international conference on data mining workshops (ICDMW), pp. 261–268, IEEE 2016.

(Abstract | Links | BibTeX | Tags: biology, chemistry, corresponding projections, semi-supervised)

2015

Kamp, Michael; Boley, Mario; Gärtner, Thomas

Parallelizing Randomized Convex Optimization (Workshop)

Proceedings of the 8th NIPS Workshop on Optimization for Machine Learning, 2015.

(Links | BibTeX | Tags: )

2014

Boley, Thomas Gärtner Michael Kamp Mario

Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features (Inproceedings)

Proceedings of the SIAM International Conference on Data Mining, pp. 641–649, SIAM 2014.

(Links | BibTeX | Tags: )

Kamp, Michael; Boley, Mario; Keren, Daniel; Schuster, Assaf; Sharfman, Izchak

Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization (Inproceedings)

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECMLPKDD), Springer 2014.

(BibTeX | Tags: )

Kamp, Michael; Boley, Mario; Mock, Michael; Keren, Daniel; Schuster, Assaf; Sharfman, Izchak

Adaptive Communication Bounds for Distributed Online Learning (Workshop)

Proceedings of the 7th NIPS Workshop on Optimization for Machine Learning, 2014.

(Links | BibTeX | Tags: )

2013

Kamp, Michael; Kopp, Christine; Mock, Michael; Boley, Mario; May, Michael

Privacy-preserving mobility monitoring using sketches of stationary sensor readings (Inproceedings)

Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 370–386, Springer 2013.

(BibTeX | Tags: )

Kamp, Michael; Boley, Mario; Gärtner, Thomas

Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features (Workshop)

2013 IEEE 13th International Conference on Data Mining Workshops, IEEE 2013.

(BibTeX | Tags: )

Boley, Mario; Kamp, Michael; Keren, Daniel; Schuster, Assaf; Sharfman, Izchak

Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations. (Workshop)

First Internation Workshop on Big Dynamic Distributed Data (BD3) at the Internation Conference on Very Large Data Bases (VLDB), 2013.

(BibTeX | Tags: )

Kamp, Michael; Manea, Andrei

STONES: Stochastic Technique for Generating Songs (Workshop)

Proceedings of the NIPS Workshop on Constructive Machine Learning (CML), 2013.

(BibTeX | Tags: )