Ravi Mangal
Title
Cited by
Cited by
Year
On abstraction refinement for program analyses in Datalog
X Zhang, R Mangal, R Grigore, M Naik, H Yang
Proceedings of the 35th ACM SIGPLAN Conference on Programming Language …, 2014
812014
A user-guided approach to program analysis
R Mangal, X Zhang, AV Nori, M Naik
Proceedings of the 2015 10th Joint Meeting on Foundations of Software …, 2015
722015
Hybrid top-down and bottom-up interprocedural analysis
X Zhang, R Mangal, M Naik, H Yang
Proceedings of the 35th ACM SIGPLAN Conference on Programming Language …, 2014
402014
Robustness of neural networks: a probabilistic and practical approach
R Mangal, AV Nori, A Orso
2019 IEEE/ACM 41st International Conference on Software Engineering: New …, 2019
212019
Accelerating program analyses by cross-program training
S Kulkarni, R Mangal, X Zhang, M Naik
ACM SIGPLAN Notices 51 (10), 359-377, 2016
212016
A correspondence between two approaches to interprocedural analysis in the presence of join
R Mangal, M Naik, H Yang
European Symposium on Programming Languages and Systems, 513-533, 2014
142014
Scaling relational inference using proofs and refutations
R Mangal, X Zhang, A Kamath, A Nori, M Naik
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
102016
Volt: A lazy grounding framework for solving very large MaxSAT instances
R Mangal, X Zhang, AV Nori, M Naik
International Conference on Theory and Applications of Satisfiability …, 2015
92015
Query-guided maximum satisfiability
X Zhang, R Mangal, AV Nori, M Naik
Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of …, 2016
82016
Creating an interprocedural analyst-oriented data flow representation for binary analysts (CIAO)
MA Leger, KM Butler, D Bueno, M Crepeau, C Cuellar, MJ Haas, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018
12018
Solving weighted constraints with applications to program analysis
R Mangal, X Zhang, M Naik, A Nori
Georgia Institute of Technology, 2015
12015
Reasoning about programs in statistically modeled first-order environments
R Mangal
Georgia Institute of Technology, 2020
2020
Probabilistic Lipschitz Analysis of Neural Networks
R Mangal, K Sarangmath, AV Nori, A Orso
International Static Analysis Symposium, 274-309, 2020
2020
Checking Probabilistic Properties of Neural Networks via Symbolic Methods and Sampling
R Mangal, AV Nori, A Orso
Observational Abstract Interpreters
R MANGAL
On Optimally Combining Static and Dynamic Analyses For Intensional Program Properties
R Mangal, D Devecsery, A Orso
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Articles 1–16