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Aishwarya Sivaraman
Aishwarya Sivaraman
Meta Platforms Inc.
在 meta.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Counterexample-guided learning of monotonic neural networks
A Sivaraman, G Farnadi, T Millstein, G Van den Broeck
Advances in Neural Information Processing Systems 33, 11936-11948, 2020
602020
Active inductive logic programming for code search
A Sivaraman, T Zhang, G Van den Broeck, M Kim
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
402019
Gems: An extract method refactoring recommender
S Xu, A Sivaraman, SC Khoo, J Xu
2017 ieee 28th international symposium on software reliability engineering …, 2017
322017
HeteroRefactor: Refactoring for heterogeneous computing with FPGA
J Lau, A Sivaraman, Q Zhang, MA Gulzar, J Cong, M Kim
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
192020
Mining idioms in the wild
A Sivaraman, R Abreu, A Scott, T Akomolede, S Chandra
Proceedings of the 44th International Conference on Software Engineering …, 2022
102022
Active inductive logic programming for code search. In 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)
A Sivaraman, T Zhang, G Van den Broeck, M Kim
IEEE, 2019
72019
Feta: Fairness enforced verifying, training, and predicting algorithms for neural networks
K Mohammadi, A Sivaraman, G Farnadi
arXiv preprint arXiv:2206.00553, 2022
62022
Data-driven lemma synthesis for interactive proofs
A Sivaraman, A Sanchez-Stern, B Chen, S Lerner, T Millstein
Proceedings of the ACM on Programming Languages 6 (OOPSLA2), 505-531, 2022
42022
FETA: fairness enforced verifying, training, and predicting algorithms for neural networks
K Mohammadi, A Sivaraman, G Farnadi
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023
12023
Ensuring Correctness of Modern Software Systems by Example
A Sivaraman
University of California, Los Angeles, 2022
2022
Post-processing Counterexample-guided Fairness Guarantees in Neural Networks
K Mohammadi, A Sivaraman, G Farnadi
Combining Learning and Reasoning: Programming Languages, Formalisms, and …, 2022
2022
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