| An abstraction-refinement approach to verification of artificial neural networks L Pulina, A Tacchella International Conference on Computer Aided Verification, 243-257, 2010 | 188 | 2010 |
| A self-adaptive multi-engine solver for quantified Boolean formulas L Pulina, A Tacchella Constraints 14 (1), 80-116, 2009 | 114 | 2009 |
| Minimal Module Extraction from DL-Lite Ontologies Using QBF Solvers. R Kontchakov, L Pulina, U Sattler, T Schneider, P Selmer, F Wolter, ... IJCAI 9, 836-841, 2009 | 96 | 2009 |
| Challenging SMT solvers to verify neural networks L Pulina, A Tacchella Ai Communications 25 (2), 117-135, 2012 | 85 | 2012 |
| A multi-engine solver for quantified boolean formulas L Pulina, A Tacchella International Conference on Principles and Practice of Constraint …, 2007 | 76 | 2007 |
| A multi-engine approach to answer-set programming M Maratea, L Pulina, F Ricca Theory and Practice of Logic Programming 14 (6), 841-868, 2014 | 59 | 2014 |
| A multi-engine approach to answer-set programming M Maratea, L Pulina, F Ricca Theory and Practice of Logic Programming 14 (6), 841-868, 2014 | 59 | 2014 |
| Collaborative expert portfolio management D Stern, H Samulowitz, R Herbrich, T Graepel, L Pulina, A Tacchella Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 2010 | 56* | 2010 |
| Report of the third QBF solvers evaluation M Narizzano, L Pulina, A Tacchella Journal on Satisfiability, Boolean Modeling and Computation 2, 145-164, 2006 | 50 | 2006 |
| 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 |
| The seventh QBF solvers evaluation (QBFEVAL’10) C Peschiera, L Pulina, A Tacchella, U Bubeck, O Kullmann, I Lynce International Conference on Theory and Applications of Satisfiability …, 2010 | 44 | 2010 |
| Evaluating and certifying QBFs: A comparison of state-of-the-art tools M Narizzano, C Peschiera, L Pulina, A Tacchella AI communications 22 (4), 191-210, 2009 | 35 | 2009 |
| Temporal and Spatial OBDA with Many-Dimensional Halpern-Shoham Logic R Kontchakov, L Pandolfo, L Pulina, V Ryzhikov, M Zakharyaschev IJCAI, 2016 | 29 | 2016 |
| The Ninth QBF Solvers Evaluation–Preliminary Report L Pulina Proceedings of the 4th International Workshop on Quantified Boolean Formulas …, 2016 | 22 | 2016 |
| A Structural Approach to Reasoning with Quantified Boolean Formulas. L Pulina, A Tacchella IJCAI, 596-602, 2009 | 22 | 2009 |
| N e V er: a tool for artificial neural networks verification L Pulina, A Tacchella Annals of Mathematics and Artificial Intelligence 62 (3), 403-425, 2011 | 19 | 2011 |
| Twelve years of QBF evaluations: QSAT is PSPACE-hard and it shows P Marin, M Narizzano, L Pulina, A Tacchella, E Giunchiglia Fundamenta Informaticae 149 (1-2), 133-158, 2016 | 18 | 2016 |
| Ensuring safety of policies learned by reinforcement: Reaching objects in the presence of obstacles with the iCub S Pathak, L Pulina, G Metta, A Tacchella 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 18 | 2013 |
| The QBFEVAL web portal M Narizzano, L Pulina, A Tacchella European Workshop on Logics in Artificial Intelligence, 494-497, 2006 | 17 | 2006 |
| Verification and repair of control policies for safe reinforcement learning S Pathak, L Pulina, A Tacchella Applied Intelligence 48 (4), 886-908, 2018 | 16 | 2018 |
