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Publications

Displaying results 221 to 230 of 661.

  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. Muhammad El-Hindi; Zheguang Zhao; Carsten Binnig

    Towards Decentralized Parameter Servers for Secure Federated Learning

    In: Alfredo Cuzzocrea; Oleg Gusikhin; Wil M. P. van der Aalst; Slimane Hammoudi (Hrsg.). Proceedings of the 11th International Conference on Data Science, Technology and Applications. International Conference on Data Science, Technology and Applications (DATA-2022), July 11-13, Lisbon, Portugal, Pages 257-269, SCITEPRESS, 2022.

  3. Benjamin Hilprecht; Kristian Kersting; Carsten Binnig

    SPARE: A Single-Pass Neural Model for Relational Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.13581, Pages 0-10, arXiv, 2023.

  4. Liane Vogel; Carsten Binnig

    WikiDBs: A Corpus of Relational Databases From Wikidata

    In: Rajesh Bordawekar; Cinzia Cappiello; Vasilis Efthymiou; Lisa Ehrlinger; Vijay Gadepally; Sainyam Galhotra; Sandra Geisler; Sven Groppe; Le Gruenwald; Alon Y. Halevy; Hazar Harmouch; Oktie Hassanzadeh; Ihab F. Ilyas; Ernesto Jiménez-Ruiz; Sanjay Krishnan; Tirthankar Lahiri; Guoliang Li; Jiaheng Lu; Wolfgang Mauerer; Umar Farooq Minhas; Felix Naumann; M. Tamer Özsu; El Kindi Rezig; Kavitha Srinivas; Michael Stonebraker; Satyanarayana R. Valluri; Maria-Esther Vidal; Haixun Wang; Jiannan Wang; Yingjun Wu; Xun Xue; Mohamed Zaït; Kai Zeng (Hrsg.). Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023). International Conference on Very Large Data Bases (VLDB), August 28 - September 1, Vancouver, Canada, CEUR Workshop Proceedings, Vol. 3462, CEUR-WS.org, 2023.

  5. Prasetya Utama; Nathaniel Weir; Fuat Basik; Carsten Binnig; Ugur Çetintemel; Benjamin Hättasch; Amir Ilkhechi; Shekar Ramaswamy; Arif Usta

    An End-to-end Neural Natural Language Interface for Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1804.00401, Pages 0-10, arXiv, 2018.

  6. Nathaniel Weir; Andrew Crotty; Alex Galakatos; Amir Ilkhechi; Shekar Ramaswamy; Rohin Bhushan; Ugur Çetintemel; Prasetya Utama; Nadja Geisler; Benjamin Hättasch; Steffen Eger; Carsten Binnig

    DBPal: Weak Supervision for Learning a Natural Language Interface to Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1909.06182, Pages 0-10, arXiv, 2019.

  7. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Learning a Partitioning Advisor with Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1904.01279, Pages 0-10, arXiv, 2019.

  8. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Towards learning a partitioning advisor with deep reinforcement learning

    In: Rajesh Bordawekar; Oded Shmueli (Hrsg.). Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM-2019), aiDM@SIGMOD, July 5, Amsterdam, Netherlands, Pages 6:1-6:4, ACM, 2019.

  9. Abdallah Salama; Alexander Linke; Igor Pessoa Rocha; Carsten Binnig

    XAI: A Middleware for Scalable AI

    In: Slimane Hammoudi; Christoph Quix; Jorge Bernardino (Hrsg.). Proceedings of the 8th International Conference on Data Science, Technology and Applications. International Conference on Data Science, Technology and Applications (DATA-2019), July 26-28, Prague, Czech Republic, Pages 109-120, SciTePress, 2019.

  10. Nathaniel Weir; Prasetya Utama; Alex Galakatos; Andrew Crotty; Amir Ilkhechi; Shekar Ramaswamy; Rohin Bhushan; Nadja Geisler; Benjamin Hättasch; Steffen Eger; Ugur Çetintemel; Carsten Binnig

    DBPal: A Fully Pluggable NL2SQL Training Pipeline

    In: David Maier; Rachel Pottinger; AnHai Doan; Wang-Chiew Tan; Abdussalam Alawini; Hung Q. Ngo (Hrsg.). Proceedings of the 2020 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020), June 14-19, Pages 2347-2361, ACM, 2020.

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