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 | 67 | 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 | 49 | 2020 |

Partitioned learned bloom filter K Vaidya, E Knorr, T Kraska, M Mitzenmacher arXiv preprint arXiv:2006.03176, 2020 | 46 | 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 | 25 | 2018 |

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 | 14 | 2021 |

When Are Learned Models Better Than Hash Functions? I Sabek, K Vaidya, D Horn, A Kipf, T Kraska arXiv preprint arXiv:2107.01464, 2021 | 8 | 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), 532-545, 2022 | 7 | 2022 |

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 | 6 | 2022 |

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 |

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 | 5 | 2021 |

Defeating duplicates: A re-design of the LearnedSort algorithm A Kristo, K Vaidya, T Kraska arXiv preprint arXiv:2107.03290, 2021 | 5 | 2021 |

Data-centric dynamic partial order reduction K Chatterjee, A Pavlogiannis, N Sinha, K Vaidya CoRR, abs/1610.01188, 2016 | 4 | 2016 |

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), 4062-4078, 2022 | 3 | 2022 |

Instance-Optimized Data Structures for Membership Queries KE Vaidya Massachusetts Institute of Technology, 2023 | | 2023 |

Using query logs to optimize execution of parametric queries A Dutt, KE Vaidya, VR Narasayya, S Chaudhuri US Patent App. 17/361,016, 2022 | | 2022 |

The case for a Learned sorting algorithm KE Vaidya Massachusetts Institute of Technology, 2021 | | 2021 |

When Are Learned Models Better Than Hash Functions?(Extended Abstracts) I Sabek, K Vaidya, D Horn, A Kipf, T Kraska | | |