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 (09.01.2022-12.01.2022)
Konferenzveröffentlichung, Bibliographie

Vogel, Liane ; Hilprecht, Benjamin ; Binnig, Carsten (2022)
Towards Foundation Models for Relational Databases Vision Paper.
36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, USA (28.11.2022-09.12.2022)
Konferenzveröffentlichung, Bibliographie

Wehrstein, Johannes ; Hilprecht, Benjamin ; Olt, Benjamin ; Luthra, Manisha ; Binnig, Carsten (2022)
The Case for Multi-Task Zero-Shot Learning for Databases.
4th International Workshop on Applied AI for Database Systems and Applications. Sydney, Australia (05.09.2022-05.09.2022)
Konferenzveröffentlichung, Bibliographie

Gassen, Marius ; Hättasch, Benjamin ; Hilprecht, Benjamin ; Geisler, Nadja ; Fraser, Alexander ; Binnig, Carsten (2022)
Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases.
In: Proceedings of the VLDB Endowment, 15 (12)
doi: 10.14778/3554821.3554850
Artikel, Bibliographie

Hilprecht, Benjamin (2022)
Data-Efficient Learned Database Components.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00022531
Dissertation, Erstveröffentlichung, Verlagsversion

Hilprecht, Benjamin ; Binnig, Carsten (2021)
ReStore - Neural Data Completion for Relational Databases.
SIGMOD/PODS '21: International Conference on Management of Data. virtual Conference (20.06.2021-25.06.2021)
doi: 10.1145/3448016.3457264
Konferenzveröffentlichung, Bibliographie

Hilprecht, Benjamin ; Binnig, Carsten ; Röhm, Uwe (2020)
Learning a Partitioning Advisor for Cloud Databases.
2020 ACM SIGMOD International Conference on Management of Data. virtual Conference (14.06.2020-19.06.2020)
doi: 10.1145/3318464.3389704
Konferenzveröffentlichung, Bibliographie

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 (31.08.2020-04.09.2020)
Konferenzveröffentlichung, Bibliographie

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)
doi: 10.14778/3384345.3384349
Artikel, Bibliographie

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 (12.01.2020-15.01.2020)
Konferenzveröffentlichung, Bibliographie

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 (26.08.2019-26.08.2019)
Konferenzveröffentlichung, Bibliographie

Hilprecht, Benjamin ; Binnig, Carsten ; Röhm, Uwe
Hrsg.: Bordawekar, Rajesh ; Shmueli, Oded (2019)
Towards learning a partitioning advisor with deep reinforcement learning.
Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2019. Amsterdam, The Netherlands (05.07.2019-05.07.2019)
doi: 10.1145/3329859.3329876
Konferenzveröffentlichung, Bibliographie