| Skinnerdb: Regret-bounded query evaluation via reinforcement learning I Trummer, J Wang, Z Wei, D Maram, S Moseley, S Jo, J Antonakakis, ... ACM Transactions on Database Systems (TODS) 46 (3), 1-45, 2021 | 151 | 2021 |
| CodexDB: Synthesizing code for query processing from natural language instructions using GPT-3 Codex I Trummer Proceedings of the VLDB Endowment 15 (11), 2921-2928, 2022 | 76* | 2022 |
| Multi-objective parametric query optimization I Trummer, C Koch Communications of the ACM 60 (10), 81-89, 2017 | 71 | 2017 |
| Multiple query optimization on the D-Wave 2X adiabatic quantum computer I Trummer, C Koch arXiv preprint arXiv:1510.06437, 2015 | 70 | 2015 |
| Utility-driven data acquisition in participatory sensing M Riahi, TG Papaioannou, I Trummer, K Aberer Proceedings of the 16th International Conference on Extending Database …, 2013 | 60 | 2013 |
| Multi-objective quality-driven service selection—A fully polynomial time approximation scheme I Trummer, B Faltings, W Binder IEEE Transactions on Software Engineering 40 (2), 167-191, 2013 | 56 | 2013 |
| Scrutinizer: A mixed-initiative approach to large-scale, data-driven claim verification G Karagiannis, M Saeed, P Papotti, I Trummer Proceedings of the VLDB Endowment 13 (12), 2508-2521, 2020 | 47 | 2020 |
| Approximation Schemes for Many-Objective Query Optimization I Trummer, C Koch SIGMOD 2014, 2014 | 46 | 2014 |
| DB-BERT: a Database Tuning Tool that" Reads the Manual" I Trummer Proceedings of the 2022 international conference on management of data, 190-203, 2022 | 42 | 2022 |
| Solving the join ordering problem via mixed integer linear programming I Trummer, C Koch Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 36 | 2017 |
| Language models enable simple systems for generating structured views of heterogeneous data lakes S Arora, B Yang, S Eyuboglu, A Narayan, A Hojel, I Trummer, C Ré arXiv preprint arXiv:2304.09433, 2023 | 35 | 2023 |
| UDO: universal database optimization using reinforcement learning J Wang, I Trummer, D Basu PVLDB 14 (3), 3402-3414, 2021 | 34 | 2021 |
| Cost-optimal outsourcing of applications into the clouds I Trummer, F Leymann, R Mietzner, W Binder 2010 IEEE Second International Conference on Cloud Computing Technology and …, 2010 | 31 | 2010 |
| From BERT to GPT-3 codex: harnessing the potential of very large language models for data management I Trummer arXiv preprint arXiv:2306.09339, 2023 | 29 | 2023 |
| Verifying text summaries of relational data sets S Jo, I Trummer, W Yu, X Wang, C Yu, D Liu, N Mehta Proceedings of the 2019 International Conference on Management of Data, 299-316, 2019 | 29* | 2019 |
| An incremental anytime algorithm for multi-objective query optimization I Trummer, C Koch Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 28 | 2015 |
| Mining an" anti-knowledge base" from Wikipedia updates with applications to fact checking and beyond G Karagiannis, I Trummer, S Jo, S Khandelwal, X Wang, C Yu Proceedings of the VLDB Endowment 13 (4), 561-573, 2019 | 21 | 2019 |
| Mining subjective properties on the web I Trummer, A Halevy, H Lee, S Sarawagi, R Gupta Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 20 | 2015 |
| Parallelizing query optimization on shared-nothing architectures I Trummer, C Koch arXiv preprint arXiv:1511.01768, 2015 | 19 | 2015 |
| The case for NLP-enhanced database tuning: towards tuning tools that" read the manual" I Trummer Proceedings of the VLDB Endowment 14 (7), 1159-1165, 2021 | 18 | 2021 |
