| DeepDB: learn from data, not from queries! B Hilprecht, A Schmidt, M Kulessa, A Molina, K Kersting, C Binnig PVLDB 13 (7), 992--1005, 2020 | 269 | 2020 |
| Monte carlo and reconstruction membership inference attacks against generative models B Hilprecht, M Härterich, D Bernau Proceedings on Privacy Enhancing Technologies, 2019 | 187 | 2019 |
| Learning a partitioning advisor for cloud databases B Hilprecht, C Binnig, U Röhm Proceedings of the 2020 ACM SIGMOD international conference on management of …, 2020 | 85* | 2020 |
| Zero-shot cost models for out-of-the-box learned cost prediction B Hilprecht, C Binnig arXiv preprint arXiv:2201.00561, 2022 | 41 | 2022 |
| One model to rule them all: towards zero-shot learning for databases B Hilprecht, C Binnig arXiv preprint arXiv:2105.00642, 2021 | 34 | 2021 |
| Towards learning a partitioning advisor with deep reinforcement learning B Hilprecht, C Binnig, U Röhm Proceedings of the Second International Workshop on Exploiting Artificial …, 2019 | 26 | 2019 |
| Model-based approximate query processing M Kulessa, A Molina, C Binnig, B Hilprecht, K Kersting arXiv preprint arXiv:1811.06224, 2018 | 18 | 2018 |
| Restore-neural data completion for relational databases B Hilprecht, C Binnig Proceedings of the 2021 International Conference on Management of Data, 710-722, 2021 | 10 | 2021 |
| Diffml: End-to-end differentiable ML pipelines B Hilprecht, C Hammacher, ES Reis, M Abdelaal, C Binnig Proceedings of the Seventh Workshop on Data Management for End-to-End …, 2023 | 7 | 2023 |
| DBMS Fitting: Why should we learn what we already know? B Hilprecht, C Binnig, T Bang, M El-Hindi, B Hättasch, A Khanna, ... CIDR, 2020 | 7 | 2020 |
| Towards foundation models for relational databases [vision paper] L Vogel, B Hilprecht, C Binnig arXiv preprint arXiv:2305.15321, 2023 | 5 | 2023 |
| Tiemo Bang, Muhammad El-Hindi B Hilprecht, C Binnig Benjamin Hättasch, Aditya Khanna, Robin Rehrmann, Uwe Röhm, Andreas Schmidt …, 2020 | 5 | 2020 |
| SPARE: A Single-Pass Neural Model for Relational Databases B Hilprecht, K Kersting, C Binnig arXiv preprint arXiv:2310.13581, 2023 | 3 | 2023 |
| Demonstrating CAT: synthesizing data-aware conversational agents for transactional databases M Gassen, B Hättasch, B Hilprecht, N Geisler, A Fraser, C Binnig arXiv preprint arXiv:2203.14144, 2022 | 2 | 2022 |
| Accurately identifying members of training data in variational autoencoders by reconstruction error B Hilprecht, D Bernau, M Haerterich US Patent 11,501,172, 2022 | | 2022 |
| Computer systems for detecting training data usage in generative models M Haerterich, B Hilprecht, D Bernau US Patent 11,366,982, 2022 | | 2022 |
| Data-Efficient Learned Database Components B Hilprecht Technische Universität Darmstadt, 2022 | | 2022 |
