Benjamin Hilprecht

23 papers A 2Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Scalable Execution of Application Logic within Everest BusinessStore. SIGMOD Conference Companion Benjamin Hilprecht, Nico Mürdter, Arthur Arnold, Kristijan Ziza, Franz Färber, Wolfgang Lehner
2023	—	`conf`	DiffML: End-to-end Differentiable ML Pipelines. DEEM@SIGMOD Benjamin Hilprecht, Christian Hammacher, Eduardo Souza dos Reis, Mohamed Abdelaal, Carsten Binnig
2023	J	`jnl`	SPARE: A Single-Pass Neural Model for Relational Databases. CoRR Benjamin Hilprecht, Kristian Kersting, Carsten Binnig
2023	J	`jnl`	Towards Foundation Models for Relational Databases [Vision Paper]. CoRR Liane Vogel, Benjamin Hilprecht, Carsten Binnig
2022	—	`—`	Data-Efficient Learned Database Components. Benjamin Hilprecht
2022	J	`jnl`	Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases. CoRR Marius Gassen, Benjamin Hättasch, Benjamin Hilprecht, Nadja Geisler, Alexander Fraser, Carsten Binnig
2022	J	`jnl`	Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases. Proc. VLDB Endow. Marius Gassen, Benjamin Hättasch, Benjamin Hilprecht, Nadja Geisler, Alexander Fraser, Carsten Binnig
2022	J	`jnl`	DiffML: End-to-end Differentiable ML Pipelines. CoRR Benjamin Hilprecht, Christian Hammacher, Eduardo Souza dos Reis, Mohamed Abdelaal, Carsten Binnig
2022	A	`conf`	One Model to Rule them All: Towards Zero-Shot Learning for Databases. CIDR Benjamin Hilprecht, Carsten Binnig
2022	J	`jnl`	Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction. CoRR Benjamin Hilprecht, Carsten Binnig
2022	J	`jnl`	Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction. Proc. VLDB Endow. Benjamin Hilprecht, Carsten Binnig
2021	J	`jnl`	One Model to Rule them All: Towards Zero-Shot Learning for Databases. CoRR Benjamin Hilprecht, Carsten Binnig
2021	—	`conf`	ReStore - Neural Data Completion for Relational Databases. SIGMOD Conference Benjamin Hilprecht, Carsten Binnig
2021	J	`jnl`	ReStore - Neural Data Completion for Relational Databases. CoRR Benjamin Hilprecht, Carsten Binnig
2020	A	`conf`	DBMS Fitting: Why should we learn what we already know? CIDR Benjamin Hilprecht, Carsten Binnig, Tiemo Bang, Muhammad El-Hindi, Benjamin Hättasch, Aditya Khanna, Robin Rehrmann, Uwe Röhm, Andreas Schmidt, Lasse Thostrup, Tobias Ziegler
2020	J	`jnl`	DeepDB: Learn from Data, not from Queries! Proc. VLDB Endow. Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig
2020	—	`conf`	Learning a Partitioning Advisor for Cloud Databases. SIGMOD Conference Benjamin Hilprecht, Carsten Binnig, Uwe Röhm
2019	J	`jnl`	DeepDB: Learn from Data, not from Queries! CoRR Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig
2019	J	`jnl`	Learning a Partitioning Advisor with Deep Reinforcement Learning. CoRR Benjamin Hilprecht, Carsten Binnig, Uwe Röhm
2019	J	`jnl`	Monte Carlo and Reconstruction Membership Inference Attacks against Generative Models. Proc. Priv. Enhancing Technol. Benjamin Hilprecht, Martin Härterich, Daniel Bernau
2019	J	`jnl`	Reconstruction and Membership Inference Attacks against Generative Models. CoRR Benjamin Hilprecht, Martin Härterich, Daniel Bernau
2019	—	`conf`	Towards learning a partitioning advisor with deep reinforcement learning. aiDM@SIGMOD Benjamin Hilprecht, Carsten Binnig, Uwe Röhm
2018	J	`jnl`	Model-based Approximate Query Processing. CoRR Moritz Kulessa, Alejandro Molina, Carsten Binnig, Benjamin Hilprecht, Kristian Kersting