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2020 – today
- 2024
[j3]Aaditya Naik
, Adam Stein, Yinjun Wu, Mayur Naik, Eric Wong:
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning. Proc. ACM Program. Lang. 8(OOPSLA1): 833-863 (2024)- [j2]Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Shuvendu K. Lahiri:
LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation. IEEE Trans. Software Eng. 50(9): 2254-2268 (2024) - [c8]Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong:
Towards Compositionality in Concept Learning. ICML 2024 - [c7]Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Madan Musuvathi, Shuvendu K. Lahiri:
Exploring the Effectiveness of LLM based Test-driven Interactive Code Generation: User Study and Empirical Evaluation. ICSE Companion 2024: 390-391 - [i6]Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Shuvendu K. Lahiri:
LLM-based Test-driven Interactive Code Generation: User Study and Empirical Evaluation. CoRR abs/2404.10100 (2024) - [i5]Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong:
Towards Compositionality in Concept Learning. CoRR abs/2406.18534 (2024) - [i4]Aaditya Naik, Jason Liu, Claire Wang, Saikat Dutta, Mayur Naik, Eric Wong:
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning. CoRR abs/2410.03348 (2024) - 2023
- [j1]Aaditya Naik, Aalok Thakkar, Adam Stein, Rajeev Alur, Mayur Naik:
Relational Query Synthesis ⋈ Decision Tree Learning. Proc. VLDB Endow. 17(2): 250-263 (2023) - [c6]Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong:
Do Machine Learning Models Learn Statistical Rules Inferred from Data? ICML 2023: 25677-25693 - [i3]Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong:
Do Machine Learning Models Learn Common Sense? CoRR abs/2303.01433 (2023) - [i2]Aaditya Naik, Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik:
MDB: Interactively Querying Datasets and Models. CoRR abs/2308.06686 (2023) - 2022
- [c5]Pardis Pashakhanloo, Aaditya Naik, Yuepeng Wang, Hanjun Dai, Petros Maniatis, Mayur Naik:
CodeTrek: Flexible Modeling of Code using an Extensible Relational Representation. ICLR 2022 - [i1]Shuvendu K. Lahiri, Aaditya Naik, Georgios Sakkas, Piali Choudhury, Curtis von Veh, Madanlal Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao:
Interactive Code Generation via Test-Driven User-Intent Formalization. CoRR abs/2208.05950 (2022) - 2021
- [c4]Jonathan Mendelson, Aaditya Naik, Mukund Raghothaman, Mayur Naik:
GENSYNTH: Synthesizing Datalog Programs without Language Bias. AAAI 2021: 6444-6453 - [c3]Aalok Thakkar, Aaditya Naik, Nathaniel Sands, Rajeev Alur, Mayur Naik, Mukund Raghothaman:
Example-guided synthesis of relational queries. PLDI 2021: 1110-1125 - [c2]Aaditya Naik, Jonathan Mendelson, Nathaniel Sands, Yuepeng Wang, Mayur Naik, Mukund Raghothaman:
Sporq: An Interactive Environment for Exploring Code using Query-by-Example. UIST 2021: 84-99 - 2020
- [c1]Xujie Si, Aaditya Naik, Hanjun Dai, Mayur Naik, Le Song:
Code2Inv: A Deep Learning Framework for Program Verification. CAV (2) 2020: 151-164
Coauthor Index
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