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  1. 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.

  2. 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.

  3. 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 …

  4. Steffen Zeuch; Eleni Tzirita Zacharatou; Shuhao Zhang; Xenofon Chatziliadis; Ankit Chaudhary; Bonaventura Del Monte; Dimitris Giouroukis; Philipp Grulich; Ariane Ziehn; Volker Mark

    NebulaStream: Complex Analytics Beyond the Cloud

    In: Conference: VLIoT@VLDB '20: Proceedings of Intl. Workshop on Very Large Internet of Things. International Workshop on Very Large Internet of …

  5. Development of a Context-Aware Assistive System for Manual Repair Processes - A Combination of Probabilistic and Deterministic Approaches

    In: George-Christopher Vosniakos; Marcello Pellicciari; Panorios Benardos; Angelos Markopoulos (Hrsg.). Procedia Manufacturing, Vol. 51, Pages …

  6. Entwicklung eines kontextsensitiven, modularen Assistenzsystems für manuelle Tätigkeiten

    PhD-Thesis, Technische Hochschule Kaiserslautern, ISBN 978-3-18-304022-3, VDI Verlag GmbH, 2020.