| Statistically robust neural network classification B Wang, S Webb, T Rainforth Uncertainty in Artificial Intelligence, 1735-1745, 2021 | 25 | 2021 |
| Assessing robustness of text classification through maximal safe radius computation E La Malfa, M Wu, L Laurenti, B Wang, A Hartshorn, M Kwiatkowska Findings of the Association for Computational Linguistics: EMNLP, 2020 | 21 | 2020 |
| Tractable uncertainty for structure learning B Wang, MR Wicker, M Kwiatkowska International Conference on Machine Learning, 23131-23150, 2022 | 12 | 2022 |
| Provable preimage under-approximation for neural networks X Zhang, B Wang, M Kwiatkowska International Conference on Tools and Algorithms for the Construction and …, 2024 | 11* | 2024 |
| Compositional probabilistic and causal inference using tractable circuit models B Wang, M Kwiatkowska International Conference on Artificial Intelligence and Statistics, 9488-9498, 2023 | 8 | 2023 |
| Provable guarantees on the robustness of decision rules to causal interventions B Wang, C Lyle, M Kwiatkowska International Joint Conference on Artificial Intelligence, 2021 | 7 | 2021 |
| A circus of circuits: Connections between decision diagrams, circuits, and automata A Amarilli, M Arenas, YJ Choi, MÃĢ Monet, GV Broeck, B Wang arXiv preprint arXiv:2404.09674, 2024 | 6 | 2024 |
| Neural structure learning with stochastic differential equations B Wang, J Jennings, W Gong The Twelfth International Conference on Learning Representations, 2024 | 4 | 2024 |
| Where is the signal in tokenization space? RL Geh, H Zhang, K Ahmed, B Wang, GV Broeck Conference on Empirical Methods in Natural Language Processing, 3966-3979, 2024 | 3 | 2024 |
| 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 | 3 | 2022 |
| Symbolic causal inference via operations on probabilistic circuits B Wang, M Kwiatkowska NeurIPS 2022 Workshop on Neuro Causal and Symbolic AI (nCSI), 2022 | 3 | 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 |
| Restructuring tractable probabilistic circuits H Zhang, B Wang, M Arenas, GV Broeck arXiv preprint arXiv:2411.12256, 2024 | 1 | 2024 |
| PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks X Zhang, B Wang, M Kwiatkowska, H Zhang arXiv preprint arXiv:2408.09262, 2024 | 1 | 2024 |
| On the Relationship Between Monotone and Squared Probabilistic Circuits B Wang, GV Broeck The 7th Workshop on Tractable Probabilistic Modeling, 2024 | 1 | 2024 |
| Scaling Up Probabilistic Circuits via Monarch Matrices H Zhang, B Wang, M Dang, N Peng, S Ermon, G Van den Broeck | | 2024 |
| A Compositional Atlas for Algebraic Circuits B Wang, D Mauá, G Van den Broeck, YJ Choi The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
| Probabilistic Circuits for Cumulative Distribution Functions O Broadrick, W Cao, B Wang, M Trapp, GV Broeck The 7th Workshop on Tractable Probabilistic Modeling, 2024 | | 2024 |
| Where is the signal in tokenization space? R Lui Geh, H Zhang, K Ahmed, B Wang, G Van den Broeck arXiv e-prints, arXiv: 2408.08541, 2024 | | 2024 |
| Tractable probabilistic models for causal learning and reasoning B Wang PQDT-Global, 2023 | | 2023 |