| Statistically robust neural network classification B Wang, S Webb, T Rainforth Uncertainty in Artificial Intelligence, 1735-1745, 2021 | 24 | 2021 |
| Assessing robustness of text classification through maximal safe radius computation E La Malfa, M Wu, L Laurenti, B Wang, A Hartshorn, M Kwiatkowska arXiv preprint arXiv:2010.02004, 2020 | 19 | 2020 |
| Tractable uncertainty for structure learning B Wang, MR Wicker, M Kwiatkowska International Conference on Machine Learning, 23131-23150, 2022 | 8 | 2022 |
| Provable guarantees on the robustness of decision rules to causal interventions B Wang, C Lyle, M Kwiatkowska International Joint Conference on Artificial Intelligence, 2021 | 6 | 2021 |
| On preimage approximation for neural networks X Zhang, B Wang, M Kwiatkowska arXiv preprint arXiv:2305.03686, 2023 | 3 | 2023 |
| Symbolic causal inference via operations on probabilistic circuits B Wang, M Kwiatkowska | 3 | 2022 |
| Compositional probabilistic and causal inference using tractable circuit models B Wang, M Kwiatkowska International Conference on Artificial Intelligence and Statistics, 9488-9498, 2023 | 2 | 2023 |
| Bayesian network models of causal interventions in healthcare decision making: literature review and software evaluation A Velikzhanin, B Wang, M Kwiatkowska arXiv preprint arXiv:2211.15258, 2022 | 2 | 2022 |
| Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits H Wijk, B Wang, M Kwiatkowska International Joint Conference on Artificial Intelligence, 2022 | 2 | 2022 |
| Neural Structure Learning with Stochastic Differential Equations B Wang, J Jennings, W Gong arXiv preprint arXiv:2311.03309, 2023 | 1 | 2023 |
| Tractable probabilistic models for causal learning and reasoning B Wang University of Oxford, 2023 | | 2023 |
