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Author

Benjamin Hilprecht

Observed names: Hilprecht Benjamin, Hilprecht, Benjamin
ORCID: 0000-0003-4935-7118
Observed ORCID: 0000-0003-4935-7118
OpenAlex ID: A5065513658
DeepDB
2020 · Benjamin Hilprecht, Andreas Schmidt, et al. · Proceedings of the VLDB Endowment · 225
Monte Carlo and Reconstruction Membership Inference Attacks against Generative Models
2019 · Benjamin Hilprecht, Martin Härterich, et al. · Proceedings on Privacy Enhancing Technologies · 156
Zero-shot cost models for out-of-the-box learned cost prediction
2022 · Benjamin Hilprecht, Carsten Binnig · Proceedings of the VLDB Endowment · 84
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Learning a Partitioning Advisor for Cloud Databases
2020 · Benjamin Hilprecht, Carsten Binnig, et al. · ACM SIGMOD International Conference on Management of Data (SIGMOD) · 65
Towards learning a partitioning advisor with deep reinforcement learning
2019 · Benjamin Hilprecht, Carsten Binnig, et al. · International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM) · 29
DeepDB: Learn from Data, not from Queries!
2019 · Hilprecht, Benjamin, Schmidt, Andreas, et al. · arXiv (Cornell University) · 24
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Model-based Approximate Query Processing
2018 · Kulessa, Moritz, Molina, Alejandro, et al. · arXiv (Cornell University) · 11
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DiffML: End-to-end Differentiable ML Pipelines
2023 · Benjamin Hilprecht, Christian Hammacher, et al. · Workshop on Data Management for End-to-End Machine Learning (DEEM) · 10
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One Model to Rule them All: Towards Zero-Shot Learning for Databases
2021 · Hilprecht, Benjamin, Binnig, Carsten · TUbilio (Technical University of Darmstadt) · 9
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ReStore - Neural Data Completion for Relational Databases
2021 · Benjamin Hilprecht, Carsten Binnig · ACM SIGMOD International Conference on Management of Data (SIGMOD) · 8
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Reconstruction and Membership Inference Attacks against Generative Models
2019 · Hilprecht, Benjamin, Härterich, Martin, et al. · arXiv (Cornell University) · 4
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Learning a Partitioning Advisor with Deep Reinforcement Learning
2019 · Hilprecht, Benjamin, Binnig, Carsten, et al. · arXiv (Cornell University) · 4
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DBMS Fitting: Why should we learn what we already know?
2020 · Benjamin Hilprecht, Carsten Binnig, et al. · TUbilio (Technical University of Darmstadt) · 3
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Demonstrating CAT
2022 · Marius Gassen, Benjamin Hättasch, et al. · Proceedings of the VLDB Endowment · 1
Scalable Execution of Application Logic within E verest B usiness S tore
2025 · Benjamin Hilprecht, Nico Mürdter, et al. · ACM SIGMOD International Conference on Management of Data (SIGMOD)
SPARE: A Single-Pass Neural Model for Relational Databases
2023 · Hilprecht, Benjamin, Kersting, Kristian, et al. · arXiv (Cornell University)
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Towards Foundation Models for Relational Databases [Vision Paper]
2023 · Vogel, Liane, Hilprecht, Benjamin, et al. · arXiv (Cornell University)
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Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases
2022 · Gassen, Marius, Hättasch, Benjamin, et al. · arXiv (Cornell University)
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Towards Model-based Approximate Query Processing
2019 · Moritz Kulessa, Benjamin Hilprecht, et al. · TUbilio (Technical University of Darmstadt)
深層強化学習による分割アドバイザの学習に向けて【jst・京大機械翻訳】
2019 · Hilprecht Benjamin, Binnig Carsten, et al. · ACM Proceedings
Works count: 24
Citation count: 634
H-index: 9
I10-index: 8
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