JMaPSS: Spreading Activation Search for the Semantic Web. - Kevin Gary; Bradley Szabo; Lavanya Vijayan; Braden Chapman; Jayavarshini Radhakrishnan; Aishwarya Sivaraman (IRI, 2007)

GEMS: An Extract Method Refactoring Recommender. - Sihan Xu; Aishwarya Sivaraman; Siau-Cheng Khoo; Jing Xu 008 (ISSRE, 2017)

Active inductive logic programming for code search. - Aishwarya Sivaraman; Tianyi Zhang 001; Guy Van den Broeck; Miryung Kim (ICSE, 2019)

HeteroRefactor: refactoring for heterogeneous computing with FPGA. - Jason Lau; Aishwarya Sivaraman; Qian Zhang 020; Muhammad Ali Gulzar; Jason Cong; Miryung Kim (ICSE, 2020)

Counterexample-Guided Learning of Monotonic Neural Networks. - Aishwarya Sivaraman; Golnoosh Farnadi; Todd D. Millstein; Guy Van den Broeck (NeurIPS, 2020)

Mining Idioms in the Wild. - Aishwarya Sivaraman; Rui Abreu 001; Andrew Scott; Tobi Akomolede; Satish Chandra 001 (ICSE (SEIP), 2022)

Data-driven lemma synthesis for interactive proofs. - Aishwarya Sivaraman; Alex Sanchez-Stern; Bretton Chen; Sorin Lerner; Todd D. Millstein (Proc. ACM Program. Lang., 2022)

Ensuring Correctness of Modern Software Systems by Example - Aishwarya Sivaraman (2022)

FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks. - Kiarash Mohammadi; Aishwarya Sivaraman; Golnoosh Farnadi (EAAMO, 2023)