Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 13 bis 18 von 593
  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. Oscar Lima; Michael Cashmore; Daniele Magazzeni; Andrea Micheli; Rodrigo Ventura

    Robust execution of deterministic plans in non-deterministic environments

    In: ICAPS 2020 Workshop on Integrated Execution and Goal Reasoning (IntEx/GR). International Conference on Automated Planning and Scheduling …

  5. Acharya Ashish Prabhakar; Salar Mohtaj; Sebastian Möller

    Claim Extraction from Text using Transfer Learning

    In: 17th International Conference on Natural Language Processing. International Conference on Natural Language Processing (ICON-2020), December 18-21, …

  6. Tewodros Amberbir Habtegebrial; Varun Jampani; Orazio Gallo; Didier Stricker

    Generative View Synthesis: From Single-view Semantics to Novel-view Images

    In: Advances in Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2020), December 6-12, Vancouver, Canada, Pages …