| Simple black-box adversarial perturbations for deep networks N Narodytska, SP Kasiviswanathan arXiv preprint arXiv:1612.06299, 2016 | 270* | 2016 |
| Maximum satisfiability using core-guided MaxSAT resolution N Narodytska, F Bacchus Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 133 | 2014 |
| Verifying properties of binarized deep neural networks N Narodytska, S Kasiviswanathan, L Ryzhyk, M Sagiv, T Walsh Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 105 | 2018 |
| Complexity of and algorithms for Borda manipulation J Davies, G Katsirelos, N Narodytska, T Walsh Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 2011 | 92 | 2011 |
| Circuit complexity and decompositions of global constraints C Bessiere, G Katsirelos, N Narodytska, T Walsh arXiv preprint arXiv:0905.3757, 2009 | 71 | 2009 |
| Encodings of the Sequence Constraint S Brand, N Narodytska, CG Quimper, P Stuckey, T Walsh International conference on principles and practice of constraint …, 2007 | 66 | 2007 |
| Constraint acquisition via partial queries C Bessiere, R Coletta, E Hebrard, G Katsirelos, N Lazaar, N Narodytska, ... IJCAI: International Joint Conference on Artificial Intelligence, 475-481, 2013 | 60 | 2013 |
| Flow-based propagators for the SEQUENCE and related global constraints M Maher, N Narodytska, CG Quimper, T Walsh International conference on principles and practice of constraint …, 2008 | 55 | 2008 |
| Strategic behavior when allocating indivisible goods sequentially T Kalinowski, N Narodytska, T Walsh, L Xia Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 2013 | 52 | 2013 |
| Relgan: Relational generative adversarial networks for text generation W Nie, N Narodytska, A Patel International conference on learning representations, 2018 | 49 | 2018 |
| Automated verification of neural networks: Advances, challenges and perspectives F Leofante, N Narodytska, L Pulina, A Tacchella arXiv preprint arXiv:1805.09938, 2018 | 46 | 2018 |
| A social welfare optimal sequential allocation procedure T Kalinowski, N Nardoytska, T Walsh arXiv preprint arXiv:1304.5892, 2013 | 45 | 2013 |
| Decompositions of all different, global cardinality and related constraints C Bessiere, G Katsirelos, N Narodytska, CG Quimper, T Walsh arXiv preprint arXiv:0905.3755, 2009 | 45 | 2009 |
| Learning Optimal Decision Trees with SAT. N Narodytska, A Ignatiev, F Pereira, J Marques-Silva, IS RAS IJCAI, 1362-1368, 2018 | 42 | 2018 |
| Constraint and Variable Ordering Heuristics for Compiling Configuration Problems. N Narodytska, T Walsh IJCAI, 149-154, 2007 | 42 | 2007 |
| Abduction-based explanations for machine learning models A Ignatiev, N Narodytska, J Marques-Silva Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1511-1519, 2019 | 35 | 2019 |
| The computational impact of partial votes on strategic voting N Narodytska, T Walsh arXiv preprint arXiv:1405.7714, 2014 | 33 | 2014 |
| On the complexity and completeness of static constraints for breaking row and column symmetry G Katsirelos, N Narodytska, T Walsh International Conference on Principles and Practice of Constraint …, 2010 | 30 | 2010 |
| A SAT-based approach to learn explainable decision sets A Ignatiev, F Pereira, N Narodytska, J Marques-Silva International Joint Conference on Automated Reasoning, 627-645, 2018 | 28 | 2018 |
| Manipulation of Nanson's and Baldwin's rules N Narodytska, T Walsh, L Xia Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 2011 | 28 | 2011 |
Toby WalshProfessor, UNSW and Data61Verified email at cse.unsw.edu.au
