Benjamin Hilprecht

According to our database, Benjamin Hilprecht authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SPARE: A Single-Pass Neural Model for Relational Databases.

Benjamin Hilprecht, Kristian Kersting, Carsten Binnig

CoRR, 2023

Towards Foundation Models for Relational Databases [Vision Paper].

Liane Vogel, Benjamin Hilprecht, Carsten Binnig

CoRR, 2023

DiffML: End-to-end Differentiable ML Pipelines.

Benjamin Hilprecht, Christian Hammacher, Eduardo Souza dos Reis, Mohamed Abdelaal, Carsten Binnig

Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, 2023

2022

Data-Efficient Learned Database Components.

Benjamin Hilprecht

PhD thesis, 2022

Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction.

Benjamin Hilprecht, Carsten Binnig

Proc. VLDB Endow., 2022

Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases.

Marius Gassen, Benjamin Hättasch, Benjamin Hilprecht, Nadja Geisler, Alexander Fraser, Carsten Binnig

Proc. VLDB Endow., 2022

One Model to Rule them All: Towards Zero-Shot Learning for Databases.

Benjamin Hilprecht, Carsten Binnig

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

ReStore - Neural Data Completion for Relational Databases.

Benjamin Hilprecht, Carsten Binnig

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

DeepDB: Learn from Data, not from Queries!

Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig

Proc. VLDB Endow., 2020

Learning a Partitioning Advisor for Cloud Databases.

Benjamin Hilprecht, Carsten Binnig, Uwe Röhm

Proceedings of the 2020 International Conference on Management of Data, 2020

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

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

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Monte Carlo and Reconstruction Membership Inference Attacks against Generative Models.

Benjamin Hilprecht, Martin Härterich, Daniel Bernau

Proc. Priv. Enhancing Technol., 2019

Reconstruction and Membership Inference Attacks against Generative Models.

Benjamin Hilprecht, Martin Härterich, Daniel Bernau

CoRR, 2019

Learning a Partitioning Advisor with Deep Reinforcement Learning.

Benjamin Hilprecht, Carsten Binnig, Uwe Röhm

CoRR, 2019

Towards learning a partitioning advisor with deep reinforcement learning.

Benjamin Hilprecht, Carsten Binnig, Uwe Röhm

Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2019

2018

Model-based Approximate Query Processing.

Moritz Kulessa, Alejandro Molina, Carsten Binnig, Benjamin Hilprecht, Kristian Kersting

CoRR, 2018