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Year: 2020
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Displaying results 41 to 50 of 88.

  1. Benjamin Hilprecht; Carsten Binnig; Tiemo Bang; Muhammad El-Hindi; Benjamin Hättasch; Aditya Khanna; Robin Rehrmann; Uwe Röhm; Andreas Schmidt; Lasse Thostrup; Tobias Ziegler

    DBMS Fitting: Why should we learn what we already know?

    In: 10th Conference on Innovative Data Systems Research. Conference on Innovative Data Systems Research (CIDR-2020), January 12-15, Amsterdam, …

  2. 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.

  3. 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.

  4. 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.

  5. Julen Urain; Davide Tateo; Tianyu Ren; Jan Peters

    Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2012.06224, Pages 0-10, arXiv, 2020.

  6. Sebastian Höfer; Kostas E. Bekris; Ankur Handa; Juan Camilo Gamboa Higuera; Florian Golemo; Melissa Mozifian; Christopher G. Atkeson; Dieter Fox; Ken Goldberg; John Leonard; C. Karen Liu; Jan Peters; Shuran Song; Peter Welinder; Martha White

    Perspectives on Sim2Real Transfer for Robotics: A Summary of the R: SS 2020 Workshop

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2012.03806, Pages 0-10, arXiv, 2020.

  7. Michael Lutter; Johannes Silberbauer; Joe Watson; Jan Peters

    A Differentiable Newton Euler Algorithm for Multi-body Model Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2010.09802, Pages 0-10, arXiv, 2020.

  8. Andreas Look; Simona Doneva; Melih Kandemir; Rainer Gemulla; Jan Peters

    Differentiable Implicit Layers

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2010.07078, Pages 0-10, arXiv, 2020.

  9. Andreas Look; Chen Qiu; Maja Rudolph; Jan Peters; Melih Kandemir

    Deterministic Inference of Neural Stochastic Differential Equations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.08973, Pages 0-10, arXiv, 2020.

  10. Riad Akrour; Davide Tateo; Jan Peters

    Reinforcement Learning from a Mixture of Interpretable Experts

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.05911, Pages 0-10, arXiv, 2020.

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