| ICE: A robust framework for learning invariants P Garg, C Löding, P Madhusudan, D Neider Computer Aided Verification: 26th International Conference, CAV 2014, Held …, 2014 | 218 | 2014 |
| Learning invariants using decision trees and implication counterexamples P Garg, D Neider, P Madhusudan, D Roth ACM Sigplan Notices 51 (1), 499-512, 2016 | 196 | 2016 |
| Natural proofs for structure, data, and separation X Qiu, P Garg, A Ştefănescu, P Madhusudan ACM SIGPLAN Notices 48 (6), 231-242, 2013 | 115 | 2013 |
| Feedback-directed unit test generation for C/C++ using concolic execution P Garg, F Ivančić, G Balakrishnan, N Maeda, A Gupta 2013 35th International Conference on Software Engineering (ICSE), 132-141, 2013 | 54 | 2013 |
| Horn-ICE learning for synthesizing invariants and contracts P Ezudheen, D Neider, D D'Souza, P Garg, P Madhusudan Proceedings of the ACM on Programming Languages 2 (OOPSLA), 1-25, 2018 | 50 | 2018 |
| Learning universally quantified invariants of linear data structures P Garg, C Löding, P Madhusudan, D Neider Computer Aided Verification: 25th International Conference, CAV 2013, Saint …, 2013 | 41 | 2013 |
| Rebound: scalable checkpointing for coherent shared memory R Agarwal, P Garg, J Torrellas Proceedings of the 38th annual international symposium on Computer …, 2011 | 35 | 2011 |
| Natural proofs for asynchronous programs using almost-synchronous reductions A Desai, P Garg, P Madhusudan Proceedings of the 2014 ACM International Conference on Object Oriented …, 2014 | 32 | 2014 |
| Alchemist: Learning guarded affine functions S Saha, P Garg, P Madhusudan Computer Aided Verification: 27th International Conference, CAV 2015, San …, 2015 | 18 | 2015 |
| Compositionality entails sequentializability P Garg, P Madhusudan Tools and Algorithms for the Construction and Analysis of Systems: 17th …, 2011 | 14 | 2011 |
| Invariant synthesis for incomplete verification engines D Neider, P Garg, P Madhusudan, S Saha, D Park Tools and Algorithms for the Construction and Analysis of Systems: 24th …, 2018 | 12 | 2018 |
| Feedback-directed random class unit test generation using symbolic execution P Garg, F Ivancic, G Balakrishnan, N Maeda, A Gupta US Patent App. 13/646,390, 2013 | 8 | 2013 |
| Cadence: Conditional anomaly detection for events using noise-contrastive estimation MR Amin, P Garg, B Coskun Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security …, 2019 | 6 | 2019 |
| Sorcar: Property-Driven Algorithms for Learning Conjunctive Invariants D Neider, S Saha, P Garg, P Madhusudan Static Analysis: 26th International Symposium, SAS 2019, Porto, Portugal …, 2019 | 6 | 2019 |
| Quantified data automata on skinny trees: An abstract domain for lists P Garg, P Madhusudan, G Parlato Static Analysis: 20th International Symposium, SAS 2013, Seattle, WA, USA …, 2013 | 6 | 2013 |
| A learning-based approach to synthesizing invariants for incomplete verification engines D Neider, P Madhusudan, S Saha, P Garg, D Park Journal of Automated Reasoning 64, 1523-1552, 2020 | 5 | 2020 |
| Quantified data automata for linear data structures: a register automaton model with applications to learning invariants of programs manipulating arrays and lists P Garg, C Löding, P Madhusudan, D Neider Formal Methods in System Design 47, 120-157, 2015 | 3 | 2015 |
| ICE: A robust learning framework for synthesizing invariants P Garg, C Löding, P Madhusudan, D Neider Proceedings of the 26th International Conference on Computer Aided …, 2013 | 3 | 2013 |
| Learning-based inductive invariant synthesis P Garg University of Illinois at Urbana-Champaign, 2015 | 2 | 2015 |
| Efficient incrementalized runtime checking of linear measures on lists A Gyori, P Garg, E Pek, P Madhusudan 2017 IEEE International Conference on Software Testing, Verification and …, 2017 | 1 | 2017 |
Madhusudan ParthasarathyProfessor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
