Model-based Approximate Query Processing. - Moritz Kulessa; Alejandro Molina 001; Carsten Binnig; Benjamin Hilprecht; Kristian Kersting (CoRR, 2018)

Towards learning a partitioning advisor with deep reinforcement learning. - Benjamin Hilprecht; Carsten Binnig; Uwe Röhm (aiDM@SIGMOD, 2019)

Learning a Partitioning Advisor with Deep Reinforcement Learning. - Benjamin Hilprecht; Carsten Binnig; Uwe Röhm (CoRR, 2019)

Reconstruction and Membership Inference Attacks against Generative Models. - Benjamin Hilprecht; Martin Härterich; Daniel Bernau (CoRR, 2019)

Monte Carlo and Reconstruction Membership Inference Attacks against Generative Models. - Benjamin Hilprecht; Martin Härterich; Daniel Bernau (Proc. Priv. Enhancing Technol., 2019)

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 002; Lasse Thostrup; Tobias Ziegler 001 (CIDR, 2020)

Learning a Partitioning Advisor for Cloud Databases. - Benjamin Hilprecht; Carsten Binnig; Uwe Röhm (SIGMOD Conference, 2020)

DeepDB: Learn from Data, not from Queries! - Benjamin Hilprecht; Andreas Schmidt 002; Moritz Kulessa; Alejandro Molina 001; Kristian Kersting; Carsten Binnig (Proc. VLDB Endow., 2020)

ReStore - Neural Data Completion for Relational Databases. - Benjamin Hilprecht; Carsten Binnig (SIGMOD Conference, 2021)

One Model to Rule them All: Towards Zero-Shot Learning for Databases. - Benjamin Hilprecht; Carsten Binnig (CIDR, 2022)

Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases. - Marius Gassen; Benjamin Hättasch; Benjamin Hilprecht; Nadja Geisler; Alexander Fraser 001; Carsten Binnig (Proc. VLDB Endow., 2022)

Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction. - Benjamin Hilprecht; Carsten Binnig (Proc. VLDB Endow., 2022)

Data-Efficient Learned Database Components. - Benjamin Hilprecht (2022)

DiffML: End-to-end Differentiable ML Pipelines. - Benjamin Hilprecht; Christian Hammacher; Eduardo Souza dos Reis; Mohamed Abdelaal 001; Carsten Binnig (DEEM@SIGMOD, 2023)

Towards Foundation Models for Relational Databases [Vision Paper]. - Liane Vogel; Benjamin Hilprecht; Carsten Binnig (CoRR, 2023)

SPARE: A Single-Pass Neural Model for Relational Databases. - Benjamin Hilprecht; Kristian Kersting; Carsten Binnig (CoRR, 2023)

Scalable Execution of Application Logic within Everest BusinessStore. - Benjamin Hilprecht; Nico Mürdter; Arthur Arnold; Kristijan Ziza; Franz Färber; Wolfgang Lehner (SIGMOD Conference Companion, 2025)