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Aaditya Naik

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

9

Venues

7

Active years

2020–2025

Best venue rank

A*

Where they publish

Papers

9 indexed papers, newest first.

YearVenueTitleAuthors
2025ICMLDOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning.Aaditya Naik, Jason Liu, Claire Wang, Amish Sethi, Saikat Dutta, Mayur Naik, Eric Wong
2024ICMLTowards Compositionality in Concept Learning.Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong
2024ICSEExploring the Effectiveness of LLM based Test-driven Interactive Code Generation: User Study and Empirical Evaluation.Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Madan Musuvathi, Shuvendu K. Lahiri
2023ICMLDo Machine Learning Models Learn Statistical Rules Inferred from Data?Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong
2022ICLRCodeTrek: Flexible Modeling of Code using an Extensible Relational Representation.Pardis Pashakhanloo, Aaditya Naik, Yuepeng Wang, Hanjun Dai, Petros Maniatis, Mayur Naik
2021AAAIGENSYNTH: Synthesizing Datalog Programs without Language Bias.Jonathan Mendelson, Aaditya Naik, Mukund Raghothaman, Mayur Naik
2021PLDIExample-guided synthesis of relational queries.Aalok Thakkar, Aaditya Naik, Nathaniel Sands, Rajeev Alur, Mayur Naik, Mukund Raghothaman
2021UISTSporq: An Interactive Environment for Exploring Code using Query-by-Example.Aaditya Naik, Jonathan Mendelson, Nathaniel Sands, Yuepeng Wang, Mayur Naik, Mukund Raghothaman
2020CAVCode2Inv: A Deep Learning Framework for Program Verification.Xujie Si, Aaditya Naik, Hanjun Dai, Mayur Naik, Le Song