| Data-centric dynamic partial order reduction M Chalupa, K Chatterjee, A Pavlogiannis, N Sinha, K Vaidya Proceedings of the ACM on Programming Languages 2 (POPL), 1-30, 2017 | 77 | 2017 |
| The case for a learned sorting algorithm A Kristo, K Vaidya, U Çetintemel, S Misra, T Kraska Proceedings of the 2020 ACM SIGMOD international conference on management of …, 2020 | 69 | 2020 |
| Partitioned learned bloom filter K Vaidya, E Knorr, T Kraska, M Mitzenmacher arXiv preprint arXiv:2006.03176, 2020 | 63 | 2020 |
| Ultra-fast bit-level frequency-hopping transmitter for securing low-power wireless devices RT Yazicigil, P Nadeau, D Richman, C Juvekar, K Vaidya, ... 2018 IEEE Radio Frequency Integrated Circuits Symposium (RFIC), 176-179, 2018 | 26 | 2018 |
| SNARF: a learning-enhanced range filter K Vaidya, S Chatterjee, E Knorr, M Mitzenmacher, S Idreos, T Kraska Proceedings of the VLDB Endowment 15 (8), 1632-1644, 2022 | 22 | 2022 |
| Bounding the last mile: Efficient learned string indexing B Spector, A Kipf, K Vaidya, C Wang, UF Minhas, T Kraska arXiv preprint arXiv:2111.14905, 2021 | 20 | 2021 |
| Can Learned Models Replace Hash Functions? I Sabek, K Vaidya, D Horn, A Kipf, M Mitzenmacher, T Kraska Proceedings of the VLDB Endowment 16 (3), 2022 | 15 | 2022 |
| Sagedb: An instance-optimized data analytics system J Ding, R Marcus, A Kipf, V Nathan, A Nrusimha, K Vaidya, A van Renen, ... Proceedings of the VLDB Endowment 15 (13), 2022 | 15 | 2022 |
| Why TPC is not enough: An analysis of the Amazon Redshift fleet A van Renen, D Horn, P Pfeil, K Vaidya, W Dong, M Narayanaswamy, ... Proceedings of the VLDB Endowment 17 (11), 3694-3706, 2024 | 14 | 2024 |
| When Are Learned Models Better Than Hash Functions? I Sabek, K Vaidya, D Horn, A Kipf, T Kraska arXiv preprint arXiv:2107.01464, 2021 | 12 | 2021 |
| Leveraging query logs and machine learning for parametric query optimization K Vaidya, A Dutt, V Narasayya, S Chaudhuri Proceedings of the VLDB Endowment 15 (3), 401-413, 2021 | 11 | 2021 |
| Defeating duplicates: A re-design of the LearnedSort algorithm A Kristo, K Vaidya, T Kraska arXiv preprint arXiv:2107.03290, 2021 | 8 | 2021 |
| Partitioned learned bloom filter. CoRR abs/2006.03176 (2020) K Vaidya, E Knorr, T Kraska, M Mitzenmacher arXiv preprint arXiv:2006.03176, 2020 | 6 | 2020 |
| Data-centric dynamic partial order reduction K Chatterjee, A Pavlogiannis, N Sinha, K Vaidya CoRR, abs/1610.01188, 2016 | 4 | 2016 |
| Panda: Performance debugging for databases using LLM agents V Singh, KE Vaidya, VB Kumar, S Khosla, M Narayanaswamy, ... | 3 | 2024 |
| The case for a learned sorting algorithm KE Vaidya Massachusetts Institute of Technology, 2021 | 2 | 2021 |
| Vista: Machine learning based database performance troubleshooting framework in Amazon RDS V Singh, Z Song, BM Narayanaswamy, KE Vaidya, T Kraska Proceedings of the 2024 ACM Symposium on Cloud Computing, 83-98, 2024 | | 2024 |
| SQLens: Fine-grained and Explainable Error Detection in Text-to-SQL Y Gong, C Lei, X Qin, K Vaidya, BM Narayanaswamy | | 2024 |
| Using query logs to optimize execution of parametric queries A Dutt, KE Vaidya, VR Narasayya, S Chaudhuri US Patent 11,934,398, 2024 | | 2024 |
| Research areas A Padmakumar, J Thomason, A Shrivastava, P Lange, A Narayan-Chen, ... Benchmarking, 2023 | | 2023 |
Tim KraskaMIT確認したメール アドレス: mit.edu