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Michael Kamp
Person information
- affiliation: Ruhr University Bochum, Germany
- affiliation (former): CISPA Helmholtz Center for Information Security, Saarbrücken, Germany
- affiliation (former): University of Monash, Australia
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2020 – today
- 2024
- [j4]Siming Chen
, Liang Gou, Michael Kamp
, Dong Sun
:
Visual Computing for Autonomous Driving. IEEE Computer Graphics and Applications 44(3): 11-13 (2024) - [c25]Fan Yang, Pierre Le Bodic, Michael Kamp, Mario Boley:
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles. AISTATS 2024: 1117-1125 - [c24]Linara Adilova, Maksym Andriushchenko, Michael Kamp, Asja Fischer, Martin Jaggi:
Layer-wise linear mode connectivity. ICLR 2024 - [i22]Fan Yang, Pierre Le Bodic, Michael Kamp, Mario Boley:
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles. CoRR abs/2402.15691 (2024) - [i21]Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp:
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective. CoRR abs/2405.16918 (2024) - [i20]Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard Schölkopf, Thomas Hofmann:
Landscaping Linear Mode Connectivity. CoRR abs/2406.16300 (2024) - [i19]Sebastian Dalleiger, Jilles Vreeken, Michael Kamp:
Federated Binary Matrix Factorization using Proximal Optimization. CoRR abs/2407.01776 (2024) - 2023
- [j3]Jianning Li, André Ferreira, Behrus Puladi
, Victor Alves
, Michael Kamp, Moon S. Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger:
Open-source skull reconstruction with MONAI. SoftwareX 23: 101432 (2023) - [j2]Junhong Wang
, Yun Li
, Zhaoyu Zhou
, Chengshun Wang
, Yijie Hou
, Li Zhang
, Xiangyang Xue
, Michael Kamp, Xiaolong Luke Zhang, Siming Chen
:
When, Where and How Does it Fail? A Spatial-Temporal Visual Analytics Approach for Interpretable Object Detection in Autonomous Driving. IEEE Trans. Vis. Comput. Graph. 29(12): 5033-5049 (2023) - [c23]Osman Mian, Michael Kamp, Jilles Vreeken:
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. AAAI 2023: 9171-9179 - [c22]Osman Mian, David Kaltenpoth, Michael Kamp, Jilles Vreeken:
Nothing but Regrets - Privacy-Preserving Federated Causal Discovery. AISTATS 2023: 8263-8278 - [c21]Michael Kamp, Jonas Fischer, Jilles Vreeken:
Federated Learning from Small Datasets. ICLR 2023 - [c20]Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp:
FAM: Relative Flatness Aware Minimization. TAG-ML 2023: 37-49 - [i18]Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek:
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. CoRR abs/2306.17555 (2023) - [i17]Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp:
FAM: Relative Flatness Aware Minimization. CoRR abs/2307.02337 (2023) - [i16]Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoffrey I. Webb, Michael Kamp:
Protecting Sensitive Data through Federated Co-Training. CoRR abs/2310.05696 (2023) - 2022
- [c19]Osman Mian, David Kaltenpoth, Michael Kamp:
Regret-based Federated Causal Discovery. CD@KDD 2022: 61-69 - [i15]Jianning Li, André Ferreira, Behrus Puladi, Victor Alves
, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger:
Open-Source Skull Reconstruction with MONAI. CoRR abs/2211.14051 (2022) - 2021
- [c18]Ibéria Medeiros
, Ilir Gashi, Michael Kamp, Pedro Ferreira:
Third International Workshop on Data-Centric Dependability and Security (DCDS). DSN Workshops 2021: xii - [c17]Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou:
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. ICLR 2021 - [c16]Henning Petzka, Michael Kamp, Linara Adilova, Cristian Sminchisescu, Mario Boley:
Relative Flatness and Generalization. NeurIPS 2021: 18420-18432 - [c15]Florian Linsner, Linara Adilova, Sina Däubener, Michael Kamp, Asja Fischer:
Approaches to Uncertainty Quantification in Federated Deep Learning. PKDD/ECML Workshops (1) 2021: 128-145 - [e4]Michael Kamp
, Irena Koprinska
, Adrien Bibal
, Tassadit Bouadi
, Benoît Frénay
, Luis Galárraga
, José Oramas
, Linara Adilova, Yamuna Krishnamurthy
, Bo Kang
, Christine Largeron, Jefrey Lijffijt
, Tiphaine Viard, Pascal Welke
, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele
, Franz Pernkopf
, Michaela Blott
, Holger Fröning
, Günther Schindler, Riccardo Guidotti
, Anna Monreale
, Salvatore Rinzivillo
, Przemyslaw Biecek
, Eirini Ntoutsi
, Mykola Pechenizkiy
, Bodo Rosenhahn
, Christopher L. Buckley
, Daniela Cialfi
, Pablo Lanillos
, Maxwell Ramstead
, Tim Verbelen
, Pedro M. Ferreira
, Giuseppina Andresini
, Donato Malerba
, Ibéria Medeiros
, Philippe Fournier-Viger
, M. Saqib Nawaz
, Sebastián Ventura
, Meng Sun
, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo
, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama
, Ricard Gavaldà
, Lee A. D. Cooper
, Naghmeh Ghazaleh
, Jonas Richiardi
, Damian Roqueiro
, Diego Saldana Miranda
, Konstantinos Sechidis
, Guilherme Graça
:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e3]Michael Kamp
, Irena Koprinska
, Adrien Bibal
, Tassadit Bouadi
, Benoît Frénay
, Luis Galárraga
, José Oramas
, Linara Adilova, Yamuna Krishnamurthy
, Bo Kang
, Christine Largeron, Jefrey Lijffijt
, Tiphaine Viard, Pascal Welke
, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele
, Franz Pernkopf
, Michaela Blott
, Holger Fröning
, Günther Schindler, Riccardo Guidotti
, Anna Monreale
, Salvatore Rinzivillo
, Przemyslaw Biecek
, Eirini Ntoutsi
, Mykola Pechenizkiy
, Bodo Rosenhahn
, Christopher L. Buckley
, Daniela Cialfi
, Pablo Lanillos
, Maxwell Ramstead
, Tim Verbelen
, Pedro M. Ferreira
, Giuseppina Andresini
, Donato Malerba
, Ibéria Medeiros
, Philippe Fournier-Viger
, M. Saqib Nawaz
, Sebastián Ventura
, Meng Sun
, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo
, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama
, Ricard Gavaldà
, Lee A. D. Cooper
, Naghmeh Ghazaleh
, Jonas Richiardi
, Damian Roqueiro
, Diego Saldana Miranda
, Konstantinos Sechidis
, Guilherme Graça
:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i14]Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang
, Michael Kamp, Qi Dou:
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. CoRR abs/2102.07623 (2021) - [i13]Linara Adilova, Siming Chen, Michael Kamp:
Novelty Detection in Sequential Data by Informed Clustering and Modeling. CoRR abs/2103.03943 (2021) - [i12]Michael Kamp, Jonas Fischer, Jilles Vreeken:
Federated Learning from Small Datasets. CoRR abs/2110.03469 (2021) - [i11]Meirui Jiang, Xiaofei Zhang, Michael Kamp, Xiaoxiao Li, Qi Dou:
TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning. CoRR abs/2110.09974 (2021) - 2020
- [c14]Ibéria Medeiros
, Ilir Gashi, Michael Kamp, Pedro Ferreira
:
Second International Workshop on Data-Centric Dependability and Security (DCDS). DSN Workshops 2020: xi - [c13]Pascal Welke, Florian Seiffarth
, Michael Kamp, Stefan Wrobel:
HOPS: Probabilistic Subtree Mining for Small and Large Graphs. KDD 2020: 1275-1284 - [c12]Lukas Heppe
, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik:
Resource-Constrained On-Device Learning by Dynamic Averaging. PKDD/ECML Workshops 2020: 129-144 - [e2]Irena Koprinska
, Michael Kamp
, Annalisa Appice
, Corrado Loglisci
, Luiza Antonie
, Albrecht Zimmermann
, Riccardo Guidotti
, Özlem Özgöbek, Rita P. Ribeiro
, Ricard Gavaldà
, João Gama
, Linara Adilova, Yamuna Krishnamurthy
, Pedro M. Ferreira
, Donato Malerba
, Ibéria Medeiros
, Michelangelo Ceci
, Giuseppe Manco
, Elio Masciari
, Zbigniew W. Ras
, Peter Christen
, Eirini Ntoutsi, Erich Schubert
, Arthur Zimek
, Anna Monreale
, Przemyslaw Biecek
, Salvatore Rinzivillo
, Benjamin Kille
, Andreas Lommatzsch, Jon Atle Gulla:
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents] - [i10]Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu:
Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks. CoRR abs/2001.00939 (2020) - [i9]Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik:
Resource-Constrained On-Device Learning by Dynamic Averaging. CoRR abs/2009.12098 (2020)
2010 – 2019
- 2019
- [b1]Michael Kamp:
Black-Box Parallelization for Machine Learning. University of Bonn, Germany, 2019 - [c11]Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp:
System Misuse Detection Via Informed Behavior Clustering and Modeling. DSN Workshops 2019: 15-23 - [e1]Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro:
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers. Communications in Computer and Information Science 967, Springer 2019, ISBN 978-3-030-14879-9 [contents] - [i8]Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp:
System Misuse Detection via Informed Behavior Clustering and Modeling. CoRR abs/1907.00874 (2019) - [i7]Linara Adilova, Julia Rosenzweig, Michael Kamp:
Information-Theoretic Perspective of Federated Learning. CoRR abs/1911.07652 (2019) - [i6]Michael Kamp, Mario Boley, Michael Mock, Daniel Keren, Assaf Schuster, Izchak Sharfman:
Adaptive Communication Bounds for Distributed Online Learning. CoRR abs/1911.12896 (2019) - [i5]Michael Kamp, Sebastian Bothe, Mario Boley, Michael Mock:
Communication-Efficient Distributed Online Learning with Kernels. CoRR abs/1911.12899 (2019) - [i4]Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu:
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks. CoRR abs/1912.00058 (2019) - 2018
- [c10]Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel:
Efficient Decentralized Deep Learning by Dynamic Model Averaging. ECML/PKDD (1) 2018: 393-409 - [i3]Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel:
Efficient Decentralized Deep Learning by Dynamic Model Averaging. CoRR abs/1807.03210 (2018) - [i2]Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner:
Effective Parallelisation for Machine Learning. CoRR abs/1810.03530 (2018) - [i1]Sven Giesselbach, Katrin Ullrich, Michael Kamp, Daniel Paurat, Thomas Gärtner:
Corresponding Projections for Orphan Screening. CoRR abs/1812.00058 (2018) - 2017
- [j1]Ioannis Flouris, Nikos Giatrakos
, Antonios Deligiannakis, Minos N. Garofalakis, Michael Kamp, Michael Mock:
Issues in complex event processing: Status and prospects in the Big Data era. J. Syst. Softw. 127: 217-236 (2017) - [c9]Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner:
Effective Parallelisation for Machine Learning. NIPS 2017: 6477-6488 - [c8]Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel:
Co-Regularised Support Vector Regression. ECML/PKDD (2) 2017: 338-354 - 2016
- [c7]Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel:
Ligand-Based Virtual Screening with Co-regularised Support Vector Regression. ICDM Workshops 2016: 261-268 - [c6]Michael Kamp, Sebastian Bothe, Mario Boley
, Michael Mock:
Communication-Efficient Distributed Online Learning with Kernels. ECML/PKDD (2) 2016: 805-819 - 2014
- [c5]Michael Kamp, Mario Boley
, Daniel Keren, Assaf Schuster, Izchak Sharfman:
Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization. ECML/PKDD (1) 2014: 623-639 - [c4]Michael Kamp, Mario Boley
, Thomas Gärtner
:
Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features. SDM 2014: 641-649 - 2013
- [c3]Michael Kamp, Mario Boley
, Thomas Gärtner
:
Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features. ICDM Workshops 2013: 384-390 - [c2]Michael Kamp, Christine Kopp, Michael Mock, Mario Boley
, Michael May:
Privacy-Preserving Mobility Monitoring Using Sketches of Stationary Sensor Readings. ECML/PKDD (3) 2013: 370-386 - [c1]Mario Boley, Michael Kamp, Daniel Keren, Assaf Schuster, Izchak Sharfman:
Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations. BD3@VLDB 2013: 13-18
Coauthor Index
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last updated on 2024-08-11 00:11 CEST by the dblp team
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