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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Category Archives: Publications
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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Federated Learning from Small Datasets
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Open-Source Skull Reconstruction with MONAI
Open-Source Skull Reconstruction with MONAI. In: arXiv preprint arXiv:2211.14051, 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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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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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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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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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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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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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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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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Parallelizing Randomized Convex Optimization
Parallelizing Randomized Convex Optimization. Proceedings of the 8th NIPS Workshop on Optimization for Machine Learning, 2015.
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Adaptive Communication Bounds for Distributed Online Learning
Adaptive Communication Bounds for Distributed Online Learning. Proceedings of the 7th NIPS Workshop on Optimization for Machine Learning, 2014.
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Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features
Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features. In: Proceedings of the SIAM International Conference on Data Mining, pp. 641–649, SIAM 2014.
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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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Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features
Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features. 2013 IEEE 13th International Conference on Data Mining Workshops, IEEE 2013.
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Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations.
Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations.. First Internation Workshop on Big Dynamic Distributed Data (BD3) at the Internation Conference on Very Large Data Bases (VLDB), 2013.
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Privacy-preserving mobility monitoring using sketches of stationary sensor readings
Privacy-preserving mobility monitoring using sketches of stationary sensor readings. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 370–386, Springer 2013.
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STONES: Stochastic Technique for Generating Songs
STONES: Stochastic Technique for Generating Songs. Proceedings of the NIPS Workshop on Constructive Machine Learning (CML), 2013.
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