Benjamin Hilprecht

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 21

Top Topics

Wavelet Synopses

Generative Model

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Liane Vogel, Benjamin Hilprecht, Carsten Binnig
Towards Foundation Models for Relational Databases [Vision Paper]. CoRR (2023)
Benjamin Hilprecht, Christian Hammacher, Eduardo Reis, Mohamed Abdelaal, Carsten Binnig
DiffML: End-to-end Differentiable ML Pipelines. DEEM@SIGMOD (2023)
Benjamin Hilprecht, Kristian Kersting, Carsten Binnig
SPARE: A Single-Pass Neural Model for Relational Databases. CoRR (2023)
Benjamin Hilprecht, Christian Hammacher, Eduardo Reis, Mohamed Abdelaal, Carsten Binnig
DiffML: End-to-end Differentiable ML Pipelines. CoRR (2022)
Marius Gassen, Benjamin Hättasch, Benjamin Hilprecht, Nadja Geisler, Alexander Fraser, Carsten Binnig
Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases. CoRR (2022)
Marius Gassen, Benjamin Hättasch, Benjamin Hilprecht, Nadja Geisler, Alexander Fraser, Carsten Binnig
Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases. Proc. VLDB Endow. 15 (12) (2022)
Benjamin Hilprecht, Carsten Binnig
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction. Proc. VLDB Endow. 15 (11) (2022)
Benjamin Hilprecht, Carsten Binnig
One Model to Rule them All: Towards Zero-Shot Learning for Databases. CIDR (2022)
Benjamin Hilprecht, Carsten Binnig
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction. CoRR (2022)
Benjamin Hilprecht, Carsten Binnig
ReStore - Neural Data Completion for Relational Databases. CoRR (2021)
Benjamin Hilprecht, Carsten Binnig
One Model to Rule them All: Towards Zero-Shot Learning for Databases. CoRR (2021)
Benjamin Hilprecht, Carsten Binnig
ReStore - Neural Data Completion for Relational Databases. SIGMOD Conference (2021)
Benjamin Hilprecht, Carsten Binnig, Uwe Röhm
Learning a Partitioning Advisor for Cloud Databases. SIGMOD Conference (2020)
Benjamin Hilprecht, Carsten Binnig, Tiemo Bang, Muhammad El-Hindi, Benjamin Hättasch, Aditya Khanna, Robin Rehrmann, Uwe Röhm, Andreas Schmidt, Lasse Thostrup, Tobias Ziegler
DBMS Fitting: Why should we learn what we already know? CIDR (2020)
Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig
DeepDB: Learn from Data, not from Queries! Proc. VLDB Endow. 13 (7) (2020)
Benjamin Hilprecht, Carsten Binnig, Uwe Röhm
Towards learning a partitioning advisor with deep reinforcement learning. aiDM@SIGMOD (2019)
Benjamin Hilprecht, Martin Härterich, Daniel Bernau
Reconstruction and Membership Inference Attacks against Generative Models. CoRR (2019)
Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig
DeepDB: Learn from Data, not from Queries! CoRR (2019)
Benjamin Hilprecht, Martin Härterich, Daniel Bernau
Monte Carlo and Reconstruction Membership Inference Attacks against Generative Models. Proc. Priv. Enhancing Technol. 2019 (4) (2019)
Benjamin Hilprecht, Carsten Binnig, Uwe Röhm
Learning a Partitioning Advisor with Deep Reinforcement Learning. CoRR (2019)
Moritz Kulessa, Alejandro Molina, Carsten Binnig, Benjamin Hilprecht, Kristian Kersting
Model-based Approximate Query Processing. CoRR (2018)