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  1. Robin Rehrmann; Carsten Binnig; Alexander Böhm; Kihong Kim; Wolfgang Lehner

    Sharing Opportunities for OLTP Workloads in Different Isolation Levels

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 10, Pages 1696-1708, Association for Computing Machinery (ACM), 2020.

  2. Benjamin Hilprecht; Andreas Schmidt; Moritz Kulessa; Alejandro Molina; Kristian Kersting; Carsten Binnig

    DeepDB: Learn from Data, not from Queries!

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 7, Pages 992-1005, Association for Computing Machinery (ACM), 2020.

  3. Sounak Kar; Robin Rehrmann; Arpan Mukhopadhyay; Bastian Alt; Florin Ciucu; Heinz Koeppl; Carsten Binnig; Amr Rizk

    On the Throughput Optimization in Large-scale Batch-processing Systems

    In: Performance Evaluation, Vol. 144, Pages 0-10, Elsevier, 2020.

  4. Towards A Wearable for Deep Water Blackout Prevention

    In: Proceedings of the Augmented Humans International Conference. Augmented Humans International Conference (AHs-2020), March 16-17, Kaiserslautern, …

  5. Payam Habiby; Sebastian Huhn; Rolf Drechsler

    Power-aware Test Scheduling for IEEE 1687 Networks with Multiple Power Domains

    In: 33rd IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems 2020. IEEE International Symposium on Defect …

  6. Nandini Ramanan; Mayukh Das; Kristian Kersting; Sriraam Natarajan

    Discriminative Non-Parametric Learning of Arithmetic Circuits

    In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International …

  7. Nils Rottmann; Tjasa Kunavar; Jan Babic; Jan Peters; Elmar Rueckert

    Learning Hierarchical Acquisition Functions for Bayesian Optimization

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  8. Julen Urain; Michele Ginesi; Davide Tateo; Jan Peters

    ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  9. Tuan Dam; Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Generalized Mean Estimation in Monte-Carlo Tree Search

    In: Christian Bessiere (Hrsg.). Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. International Joint …

  10. Christoph Zelch; Jan Peters; Oskar von Stryk

    Learning Control Policies from Optimal Trajectories

    In: 2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020. IEEE International Conference …