Michael Kamp

64 papers A* 8A 3Journal 32Unranked 16
YearRankTypeTitle / Venue / Authors
2025 A* conf
Federated Binary Matrix Factorization Using Proximal Optimization.
AAAI
Sebastian Dalleiger, Jilles Vreeken, Michael Kamp
2025 J jnl
Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking.
CoRR
Ting Han, Linara Adilova, Henning Petzka, Jens Kleesiek, Michael Kamp
2025 J jnl
GNNFairViz: Visual Analysis for Graph Neural Network Fairness.
IEEE Trans. Vis. Comput. Graph.
Xinwu Ye, Jielin Feng, Erasmo Purificato, Ludovico Boratto, Michael Kamp, Zengfeng Huang, Siming Chen
2025 A* conf
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning.
AAAI
Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoffrey I. Webb, Michael Kamp
2025 J jnl
Re-interpreting rules interpretability.
Int. J. Data Sci. Anal.
Linara Adilova, Michael Kamp, Gennady L. Andrienko, Natalia V. Andrienko
2025 J jnl
When Flatness Does (Not) Guarantee Adversarial Robustness.
CoRR
Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp
2025 J jnl
Who Should I Listen To? Adaptive Collaboration in Personalized Federated Learning.
CoRR
Amr Abourayya, Jens Kleesiek, Bharat Rao, Michael Kamp
2025 J jnl
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries.
Comput. Methods Programs Biomed.
Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek
2024 J jnl
Federated Binary Matrix Factorization using Proximal Optimization.
CoRR
Sebastian Dalleiger, Jilles Vreeken, Michael Kamp
2024 J jnl
Landscaping Linear Mode Connectivity.
CoRR
Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard Schölkopf, Thomas Hofmann
2024 A* conf
Layer-wise linear mode connectivity.
ICLR
Linara Adilova, Maksym Andriushchenko, Michael Kamp, Asja Fischer, Martin Jaggi
2024 A conf
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles.
AISTATS
Fan Yang, Pierre Le Bodic, Michael Kamp, Mario Boley
2024 J jnl
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles.
CoRR
Fan Yang, Pierre Le Bodic, Michael Kamp, Mario Boley
2024 J jnl
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective.
CoRR
Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp
2024 J jnl
Visual Computing for Autonomous Driving.
IEEE Computer Graphics and Applications
Siming Chen, Liang Gou, Michael Kamp, Dong Sun
2023 — conf
FAM: Relative Flatness Aware Minimization.
TAG-ML
Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp
2023 J jnl
FAM: Relative Flatness Aware Minimization.
CoRR
Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp
2023 A* conf
Federated Learning from Small Datasets.
ICLR
Michael Kamp, Jonas Fischer, Jilles Vreeken
2023 A* conf
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments.
AAAI
Osman Mian, Michael Kamp, Jilles Vreeken
2023 A conf
Nothing but Regrets - Privacy-Preserving Federated Causal Discovery.
AISTATS
Osman Mian, David Kaltenpoth, Michael Kamp, Jilles Vreeken
2023 J jnl
Open-source skull reconstruction with MONAI.
SoftwareX
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon S. Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
2023 J jnl
Protecting Sensitive Data through Federated Co-Training.
CoRR
Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoffrey I. Webb, Michael Kamp
2023 J jnl
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.
Junhong Wang, Yun Li, Zhaoyu Zhou, Chengshun Wang, Yijie Hou, Li Zhang, Xiangyang Xue, Michael Kamp, Xiaolong Luke Zhang, Siming Chen
2023 J jnl
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries.
CoRR
Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek
2022 J jnl
Open-Source Skull Reconstruction with MONAI.
CoRR
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
2022 — conf
Regret-based Federated Causal Discovery.
CD@KDD
Osman Mian, David Kaltenpoth, Michael Kamp
2021 — conf
Approaches to Uncertainty Quantification in Federated Deep Learning.
PKDD/ECML Workshops (1)
Florian Linsner, Linara Adilova, Sina Däubener, Michael Kamp, Asja Fischer
2021 A* conf
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.
ICLR
Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou
2021 J jnl
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.
CoRR
Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou
2021 J jnl
Federated Learning from Small Datasets.
CoRR
Michael Kamp, Jonas Fischer, Jilles Vreeken
2021 — ed.
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
PKDD/ECML Workshops (1)
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 Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — ed.
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
PKDD/ECML Workshops (2)
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 Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 J jnl
Novelty Detection in Sequential Data by Informed Clustering and Modeling.
CoRR
Linara Adilova, Siming Chen, Michael Kamp
2021 A* conf
Relative Flatness and Generalization.
NeurIPS
Henning Petzka, Michael Kamp, Linara Adilova, Cristian Sminchisescu, Mario Boley
2021 — conf
Third International Workshop on Data-Centric Dependability and Security (DCDS).
DSN Workshops
Ibéria Medeiros, Ilir Gashi, Michael Kamp, Pedro Ferreira
2021 J jnl
TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning.
CoRR
Meirui Jiang, Xiaofei Zhang, Michael Kamp, Xiaoxiao Li, Qi Dou
2020 — ed.
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
PKDD/ECML Workshops
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
2020 J jnl
Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks.
CoRR
Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu
2020 A* conf
HOPS: Probabilistic Subtree Mining for Small and Large Graphs.
KDD
Pascal Welke, Florian Seiffarth, Michael Kamp, Stefan Wrobel
2020 — conf
Resource-Constrained On-Device Learning by Dynamic Averaging.
PKDD/ECML Workshops
Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
2020 J jnl
Resource-Constrained On-Device Learning by Dynamic Averaging.
CoRR
Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
2020 — conf
Second International Workshop on Data-Centric Dependability and Security (DCDS).
DSN Workshops
Ibéria Medeiros, Ilir Gashi, Michael Kamp, Pedro Ferreira
2019 J jnl
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks.
CoRR
Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu
2019 J jnl
Adaptive Communication Bounds for Distributed Online Learning.
CoRR
Michael Kamp, Mario Boley, Michael Mock, Daniel Keren, Assaf Schuster, Izchak Sharfman
2019 — —
Black-Box Parallelization for Machine Learning.
Michael Kamp
2019 J jnl
Communication-Efficient Distributed Online Learning with Kernels.
CoRR
Michael Kamp, Sebastian Bothe, Mario Boley, Michael Mock
2019 — ed.
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers
DMLE/IOTSTREAMING@PKDD/ECML
Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed-Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro
2019 J jnl
Information-Theoretic Perspective of Federated Learning.
CoRR
Linara Adilova, Julia Rosenzweig, Michael Kamp
2019 — conf
System Misuse Detection Via Informed Behavior Clustering and Modeling.
DSN Workshops
Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp
2019 J jnl
System Misuse Detection via Informed Behavior Clustering and Modeling.
CoRR
Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp
2018 J jnl
Corresponding Projections for Orphan Screening.
CoRR
Sven Giesselbach, Katrin Ullrich, Michael Kamp, Daniel Paurat, Thomas Gärtner
2018 J jnl
Effective Parallelisation for Machine Learning.
CoRR
Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner
2018 — conf
Efficient Decentralized Deep Learning by Dynamic Model Averaging.
ECML/PKDD (1)
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
2018 J jnl
Efficient Decentralized Deep Learning by Dynamic Model Averaging.
CoRR
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
2017 — conf
Co-Regularised Support Vector Regression.
ECML/PKDD (2)
Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel
2017 — conf
Effective Parallelisation for Machine Learning.
NIPS
Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner
2017 J jnl
Issues in complex event processing: Status and prospects in the Big Data era.
J. Syst. Softw.
Ioannis Flouris, Nikos Giatrakos, Antonios Deligiannakis, Minos N. Garofalakis, Michael Kamp, Michael Mock
2016 — conf
Communication-Efficient Distributed Online Learning with Kernels.
ECML/PKDD (2)
Michael Kamp, Sebastian Bothe, Mario Boley, Michael Mock
2016 — conf
Ligand-Based Virtual Screening with Co-regularised Support Vector Regression.
ICDM Workshops
Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel
2014 A conf
Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features.
SDM
Michael Kamp, Mario Boley, Thomas Gärtner
2014 — conf
Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization.
ECML/PKDD (1)
Michael Kamp, Mario Boley, Daniel Keren, Assaf Schuster, Izchak Sharfman
2013 — conf
Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features.
ICDM Workshops
Michael Kamp, Mario Boley, Thomas Gärtner
2013 — conf
Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations.
BD3@VLDB
Mario Boley, Michael Kamp, Daniel Keren, Assaf Schuster, Izchak Sharfman
2013 — conf
Privacy-Preserving Mobility Monitoring Using Sketches of Stationary Sensor Readings.
ECML/PKDD (3)
Michael Kamp, Christine Kopp, Michael Mock, Mario Boley, Michael May