Layer-wise Linear Mode Connectivity. In: International Conference on Learning Representations (ICLR), Curran Associates, Inc, 2024.
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Category Archives: Publications
Orthogonal Gradient Boosting for Interpretable Additive Rule Ensembles
Orthogonal Gradient Boosting for Interpretable Additive Rule Ensembles. In: Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
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FAM: Relative Flatness Aware Minimization
FAM: Relative Flatness Aware Minimization. In: Proceedings of the ICML Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), 2023.
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FAM: Relative Flatness Aware Minimization
FAM: Relative Flatness Aware Minimization. In: Proceedings of the ICML Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), 2023.
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FAM: Relative Flatness Aware Minimization
FAM: Relative Flatness Aware Minimization. In: Proceedings of the ICML Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), 2023.
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FAM: Relative Flatness Aware Minimization
FAM: Relative Flatness Aware Minimization. In: Proceedings of the ICML Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), 2023.
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FAM: Relative Flatness Aware Minimization
FAM: Relative Flatness Aware Minimization. In: Proceedings of the ICML Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), 2023.
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FAM: Relative Flatness Aware Minimization
FAM: Relative Flatness Aware Minimization. In: Proceedings of the ICML Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), 2023.
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Re-interpreting Rules Interpretability
Re-interpreting Rules Interpretability. In: International Journal of Data Science and Analytics, 2023.
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Re-interpreting Rules Interpretability
Re-interpreting Rules Interpretability. In: International Journal of Data Science and Analytics, 2023.
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Re-interpreting Rules Interpretability
Re-interpreting Rules Interpretability. In: International Journal of Data Science and Analytics, 2023.
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Re-interpreting Rules Interpretability
Re-interpreting Rules Interpretability. In: International Journal of Data Science and Analytics, 2023.
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Re-interpreting Rules Interpretability
Re-interpreting Rules Interpretability. In: International Journal of Data Science and Analytics, 2023.
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Re-interpreting Rules Interpretability
Re-interpreting Rules Interpretability. In: International Journal of Data Science and Analytics, 2023.
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Federated Learning from Small Datasets
Federated Learning from Small Datasets. In: International Conference on Learning Representations (ICLR), 2023.
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Federated Learning from Small Datasets
Federated Learning from Small Datasets. In: International Conference on Learning Representations (ICLR), 2023.
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Federated Learning from Small Datasets
Federated Learning from Small Datasets. In: International Conference on Learning Representations (ICLR), 2023.
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Nothing but Regrets – Privacy-Preserving Federated Causal Discovery
Nothing but Regrets - Privacy-Preserving Federated Causal Discovery. In: International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.
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Nothing but Regrets – Privacy-Preserving Federated Causal Discovery
Nothing but Regrets - Privacy-Preserving Federated Causal Discovery. In: International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.
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Nothing but Regrets – Privacy-Preserving Federated Causal Discovery
Nothing but Regrets - Privacy-Preserving Federated Causal Discovery. In: International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.
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Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments
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Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments
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Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
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Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
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Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
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Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
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Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
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Informed Novelty Detection in Sequential Data by Per-Cluster Modeling
Informed Novelty Detection in Sequential Data by Per-Cluster Modeling. In: ICML workshop on Artificial Intelligence & Human Computer Interaction, 2023.
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Informed Novelty Detection in Sequential Data by Per-Cluster Modeling
Informed Novelty Detection in Sequential Data by Per-Cluster Modeling. In: ICML workshop on Artificial Intelligence & Human Computer Interaction, 2023.
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Open-source skull reconstruction with MONAI
Open-source skull reconstruction with MONAI. In: SoftwareX, vol. 23, pp. 101432, 2023.
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Informed Novelty Detection in Sequential Data by Per-Cluster Modeling
Informed Novelty Detection in Sequential Data by Per-Cluster Modeling. In: ICML workshop on Artificial Intelligence & Human Computer Interaction, 2023.
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Open-source skull reconstruction with MONAI
Open-source skull reconstruction with MONAI. In: SoftwareX, vol. 23, pp. 101432, 2023.
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Federated Learning from Small Datasets
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Open-Source Skull Reconstruction with MONAI
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When, Where and How does it fail? A Spatial-temporal Visual Analytics Approach for Interpretable Object Detection in Autonomous Driving
When, Where and How does it fail? A Spatial-temporal Visual Analytics Approach for Interpretable Object Detection in Autonomous Driving. In: IEEE Transactions on Visualization and Computer Graphics, 2022.
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Regret-based Federated Causal Discovery
Regret-based Federated Causal Discovery. In: The KDD'22 Workshop on Causal Discovery, pp. 61–69, PMLR 2022.
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Regret-based Federated Causal Discovery
Regret-based Federated Causal Discovery. In: The KDD'22 Workshop on Causal Discovery, pp. 61–69, PMLR 2022.
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When, Where and How does it fail? A Spatial-temporal Visual Analytics Approach for Interpretable Object Detection in Autonomous Driving
When, Where and How does it fail? A Spatial-temporal Visual Analytics Approach for Interpretable Object Detection in Autonomous Driving. In: IEEE Transactions on Visualization and Computer Graphics, 2022.
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Regret-based Federated Causal Discovery
Regret-based Federated Causal Discovery. In: The KDD'22 Workshop on Causal Discovery, pp. 61–69, PMLR 2022.
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When, Where and How does it fail? A Spatial-temporal Visual Analytics Approach for Interpretable Object Detection in Autonomous Driving
When, Where and How does it fail? A Spatial-temporal Visual Analytics Approach for Interpretable Object Detection in Autonomous Driving. In: IEEE Transactions on Visualization and Computer Graphics, 2022.
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When, Where and How does it fail? A Spatial-temporal Visual Analytics Approach for Interpretable Object Detection in Autonomous Driving
When, Where and How does it fail? A Spatial-temporal Visual Analytics Approach for Interpretable Object Detection in Autonomous Driving. In: IEEE Transactions on Visualization and Computer Graphics, 2022.
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Relative Flatness and Generalization
Relative Flatness and Generalization. In: Advances in Neural Information Processing Systems, Curran Associates, Inc., 2021.
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Relative Flatness and Generalization
Relative Flatness and Generalization. In: Advances in Neural Information Processing Systems, Curran Associates, Inc., 2021.
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Relative Flatness and Generalization
Relative Flatness and Generalization. In: Advances in Neural Information Processing Systems, Curran Associates, Inc., 2021.
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Approaches to Uncertainty Quantification in Federated Deep Learning
Approaches to Uncertainty Quantification in Federated Deep Learning. Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, vol. 2, Springer, 2021.
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Approaches to Uncertainty Quantification in Federated Deep Learning
Approaches to Uncertainty Quantification in Federated Deep Learning. Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, vol. 2, Springer, 2021.
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Approaches to Uncertainty Quantification in Federated Deep Learning
Approaches to Uncertainty Quantification in Federated Deep Learning. Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, vol. 2, Springer, 2021.
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FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. In: Proceedings of the 9th International Conference on Learning Representations (ICLR), 2021.
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FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. In: Proceedings of the 9th International Conference on Learning Representations (ICLR), 2021.
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FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. In: Proceedings of the 9th International Conference on Learning Representations (ICLR), 2021.
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Resource-Constrained On-Device Learning by Dynamic Averaging
Resource-Constrained On-Device Learning by Dynamic Averaging. Proceedings of the Workshop on Parallel, Distributed, and Federated Learning (PDFL) at ECMLPKDD, 2020.
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Resource-Constrained On-Device Learning by Dynamic Averaging
Resource-Constrained On-Device Learning by Dynamic Averaging. Proceedings of the Workshop on Parallel, Distributed, and Federated Learning (PDFL) at ECMLPKDD, 2020.
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Resource-Constrained On-Device Learning by Dynamic Averaging
Resource-Constrained On-Device Learning by Dynamic Averaging. Proceedings of the Workshop on Parallel, Distributed, and Federated Learning (PDFL) at ECMLPKDD, 2020.
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Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks
Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks. 2020.
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HOPS: Probabilistic Subtree Mining for Small and Large Graphs
HOPS: Probabilistic Subtree Mining for Small and Large Graphs. In: 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.
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HOPS: Probabilistic Subtree Mining for Small and Large Graphs
HOPS: Probabilistic Subtree Mining for Small and Large Graphs. In: 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.
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HOPS: Probabilistic Subtree Mining for Small and Large Graphs
HOPS: Probabilistic Subtree Mining for Small and Large Graphs. In: 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.
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Information Theoretic Perspective of Federated Learning
Information Theoretic Perspective of Federated Learning. NeurIPS Workshop on Information Theory and Machine Learning, 2019.
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System Misuse Detection via Informed Behavior Clustering and Modeling
System Misuse Detection via Informed Behavior Clustering and Modeling. 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), IEEE 2019.
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Black-Box Parallelization for Machine Learning
Black-Box Parallelization for Machine Learning. Universitäts-und Landesbibliothek Bonn, 2019.
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A Reparameterization-Invariant Flatness Measure for Deep Neural Networks
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks. Science meets Engineering of Deep Learning workshop at NeurIPS, 2019.
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Information Theoretic Perspective of Federated Learning
Information Theoretic Perspective of Federated Learning. NeurIPS Workshop on Information Theory and Machine Learning, 2019.
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System Misuse Detection via Informed Behavior Clustering and Modeling
System Misuse Detection via Informed Behavior Clustering and Modeling. 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), IEEE 2019.
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A Reparameterization-Invariant Flatness Measure for Deep Neural Networks
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks. Science meets Engineering of Deep Learning workshop at NeurIPS, 2019.
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Black-Box Parallelization for Machine Learning
Black-Box Parallelization for Machine Learning. Universitäts-und Landesbibliothek Bonn, 2019.
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Information Theoretic Perspective of Federated Learning
Information Theoretic Perspective of Federated Learning. NeurIPS Workshop on Information Theory and Machine Learning, 2019.
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System Misuse Detection via Informed Behavior Clustering and Modeling
System Misuse Detection via Informed Behavior Clustering and Modeling. 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), IEEE 2019.
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A Reparameterization-Invariant Flatness Measure for Deep Neural Networks
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks. Science meets Engineering of Deep Learning workshop at NeurIPS, 2019.
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A Reparameterization-Invariant Flatness Measure for Deep Neural Networks
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks. Science meets Engineering of Deep Learning workshop at NeurIPS, 2019.
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Black-Box Parallelization for Machine Learning
Black-Box Parallelization for Machine Learning. Universitäts-und Landesbibliothek Bonn, 2019.
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Corresponding Projections for Orphan Screening
Corresponding Projections for Orphan Screening. Proceedings of the ML4H workshop at NeurIPS, 2018.
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Corresponding Projections for Orphan Screening
Corresponding Projections for Orphan Screening. Proceedings of the ML4H workshop at NeurIPS, 2018.
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Corresponding Projections for Orphan Screening
Corresponding Projections for Orphan Screening. Proceedings of the ML4H workshop at NeurIPS, 2018.
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Designing Visualisation Enhancements for SIEM Systems
Designing Visualisation Enhancements for SIEM Systems. 15th IEEE Symposium on Visualization for Cyber Security – VizSec, 2018.
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Designing Visualisation Enhancements for SIEM Systems
Designing Visualisation Enhancements for SIEM Systems. 15th IEEE Symposium on Visualization for Cyber Security – VizSec, 2018.
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Designing Visualisation Enhancements for SIEM Systems
Designing Visualisation Enhancements for SIEM Systems. 15th IEEE Symposium on Visualization for Cyber Security – VizSec, 2018.
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Efficient Decentralized Deep Learning by Dynamic Model Averaging
Efficient Decentralized Deep Learning by Dynamic Model Averaging. In: Machine Learning and Knowledge Discovery in Databases, Springer, 2018.
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Efficient Decentralized Deep Learning by Dynamic Model Averaging
Efficient Decentralized Deep Learning by Dynamic Model Averaging. In: Machine Learning and Knowledge Discovery in Databases, Springer, 2018.
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Efficient Decentralized Deep Learning by Dynamic Model Averaging
Efficient Decentralized Deep Learning by Dynamic Model Averaging. In: Machine Learning and Knowledge Discovery in Databases, Springer, 2018.
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Machine Learning für die smarte Produktion
Machine Learning für die smarte Produktion. In: VDMA-Nachrichten, pp. 36-37, 2017.
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Co-regularised support vector regression
Co-regularised support vector regression. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 338–354, Springer 2017.
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Effective Parallelisation for Machine Learning
Effective Parallelisation for Machine Learning. In: Advances in Neural Information Processing Systems, pp. 6480–6491, 2017.
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Issues in Complex Event Processing: Status and Prospects in the Big Data Era
Issues in Complex Event Processing: Status and Prospects in the Big Data Era. In: Journal of Systems and Software, 2017.
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Co-regularised support vector regression
Co-regularised support vector regression. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 338–354, Springer 2017.
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Effective Parallelisation for Machine Learning
Effective Parallelisation for Machine Learning. In: Advances in Neural Information Processing Systems, pp. 6480–6491, 2017.
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Issues in Complex Event Processing: Status and Prospects in the Big Data Era
Issues in Complex Event Processing: Status and Prospects in the Big Data Era. In: Journal of Systems and Software, 2017.
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Co-regularised support vector regression
Co-regularised support vector regression. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 338–354, Springer 2017.
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Effective Parallelisation for Machine Learning
Effective Parallelisation for Machine Learning. In: Advances in Neural Information Processing Systems, pp. 6480–6491, 2017.
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Issues in Complex Event Processing: Status and Prospects in the Big Data Era
Issues in Complex Event Processing: Status and Prospects in the Big Data Era. In: Journal of Systems and Software, 2017.
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Communication-Efficient Distributed Online Learning with Kernels
Communication-Efficient Distributed Online Learning with Kernels. In: Frasconi, Paolo; Landwehr, Niels; Manco, Giuseppe; Vreeken, Jilles (Ed.): Machine Learning and Knowledge Discovery in Databases, pp. 805–819, Springer International Publishing, 2016.
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Communication-Efficient Distributed Online Learning with Kernels
Communication-Efficient Distributed Online Learning with Kernels. In: Frasconi, Paolo; Landwehr, Niels; Manco, Giuseppe; Vreeken, Jilles (Ed.): Machine Learning and Knowledge Discovery in Databases, pp. 805–819, Springer International Publishing, 2016.
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Communication-Efficient Distributed Online Learning with Kernels
Communication-Efficient Distributed Online Learning with Kernels. In: Frasconi, Paolo; Landwehr, Niels; Manco, Giuseppe; Vreeken, Jilles (Ed.): Machine Learning and Knowledge Discovery in Databases, pp. 805–819, Springer International Publishing, 2016.
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Issues in Complex Event Processing: Status and Prospects in the Big Data Era
Issues in Complex Event Processing: Status and Prospects in the Big Data Era. In: Journal of Systems and Software, 2017.
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Ligand-based virtual screening with co-regularised support Vector Regression
Ligand-based virtual screening with co-regularised support Vector Regression. In: 2016 IEEE 16th international conference on data mining workshops (ICDMW), pp. 261–268, IEEE 2016.
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Ligand-based virtual screening with co-regularised support Vector Regression
Ligand-based virtual screening with co-regularised support Vector Regression. In: 2016 IEEE 16th international conference on data mining workshops (ICDMW), pp. 261–268, IEEE 2016.
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Ligand-based virtual screening with co-regularised support Vector Regression
Ligand-based virtual screening with co-regularised support Vector Regression. In: 2016 IEEE 16th international conference on data mining workshops (ICDMW), pp. 261–268, IEEE 2016.
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Parallelizing Randomized Convex Optimization
Parallelizing Randomized Convex Optimization. Proceedings of the 8th NIPS Workshop on Optimization for Machine Learning, 2015.
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Parallelizing Randomized Convex Optimization
Parallelizing Randomized Convex Optimization. Proceedings of the 8th NIPS Workshop on Optimization for Machine Learning, 2015.
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Parallelizing Randomized Convex Optimization
Parallelizing Randomized Convex Optimization. Proceedings of the 8th NIPS Workshop on Optimization for Machine Learning, 2015.
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Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization
Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECMLPKDD), Springer 2014.
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