Benjamin Hilprecht

Benjamin Hilprecht M.Sc.

Doctoral Researcher

+49 6151 16-25603

Hochschulstr. 10
64289 Darmstadt

Office: S2|02 D110

Working area(s)

  • ML for Systems
  • Learned Database Components

About Me

I have joined the Data Management Lab in October 2018. My main research focus lies in the intersection of machine learning (ML) and data management. For instance, ML allows to answer queries in no time, improve cloud databases, or deal with uncertain data.

I hold a Master's degree in Mathematics and a Bachelor's degree in Business Informatics. Besides research, I enjoy running and occasional guitar practice.

Feel free to contact me via email at or stop by my office (S2|02 D110).

Publications

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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2022 | 2021 | 2020 | 2019
Anzahl der Einträge: 8.

2022

Hilprecht, Benjamin ; Binnig, Carsten (2022):
One Model to Rule them All: Towards Zero-Shot Learning for Databases.
12th Annual Conference on Innovative Data Systems Research (CIDR'22), Chaminade, USA, 09.-12.01.2022, [Konferenzveröffentlichung]

2021

Hilprecht, Benjamin ; Binnig, Carsten (2021):
ReStore - Neural Data Completion for Relational Databases.
In: SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data, S. 710-722,
ACM, SIGMOD/PODS '21: International Conference on Management of Data, virtual Conference, 20.-25.06.2021, ISBN 978-1-4503-8343-1,
DOI: 10.1145/3448016.3457264,
[Konferenzveröffentlichung]

2020

Hilprecht, Benjamin ; Binnig, Carsten ; Röhm, Uwe (2020):
Learning a Partitioning Advisor for Cloud Databases.
In: SIGMOD '20: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, S. 143-157,
ACM, 2020 ACM SIGMOD International Conference on Management of Data, virtual Conference, 14.-19.06.2020, ISBN 978-1-4503-6735-6,
DOI: 10.1145/3318464.3389704,
[Konferenzveröffentlichung]

Hilprecht, Benjamin ; Schmidt, Andreas ; Kulessa, Moritz ; Molina, Alejandro ; Kersting, Kristian ; Binnig, Carsten (2020):
DeepDB: Learn from Data, not from Queries!
46th International Conference on Very Large Data Bases, virtual Conference, 31.08.-04.09.2020, [Konferenzveröffentlichung]

Hilprecht, Benjamin ; Schmidt, Andreas ; Kulessa, Moritz ; Molina, Alejandro ; Kersting, Kristian ; Binnig, Carsten (2020):
DeepDB: Learn from Data, Not from Queries!
In: Proceedings of the VLDB Endowment, 13 (7), S. 992-1005. ACM, ISSN 2150-8097,
DOI: 10.14778/3384345.3384349,
[Artikel]

Hilprecht, Benjamin ; Binnig, Carsten ; Bang, Tiemo ; El-Hindi, Muhammad ; Hättasch, Benjamin ; Khanna, Aditya ; Rehrmann, Robin ; Röhm, Uwe ; Schmidt, Andreas ; Thostrup, Lasse ; Ziegler, Tobias (2020):
DBMS Fitting: Why should we learn what we already know?
CIDR 2020, 10th Conference on Innovative Data Systems Research, Amsterdam, January 12-15, 2020, [Konferenzveröffentlichung]

2019

Kulessa, Moritz ; Hilprecht, Benjamin ; Molina, Alejandro ; Kersting, Kristian ; Binnig, Carsten (2019):
Towards Model-based Approximate Query Processing.
1st International Workshop on Applied AI for Database Systems and Applications (AIDB’19), Los Angeles, USA, 26. August 2019, [Konferenzveröffentlichung]

Hilprecht, Benjamin ; Binnig, Carsten ; Röhm, Uwe
Bordawekar, Rajesh ; Shmueli, Oded (Hrsg.) (2019):
Towards learning a partitioning advisor with deep reinforcement learning.
In: Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2019, S. 6:1-6:4,
Amsterdam, The Netherlands, ACM, Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2019, Amsterdam, The Netherlands, July 5, 2019, DOI: 10.1145/3329859.3329876,
[Konferenzveröffentlichung]

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