| 2025 | AAAI | On the Relationship Between Monotone and Squared Probabilistic Circuits. | Benjie Wang, Guy Van den Broeck |
| 2025 | AISTATS | Restructuring Tractable Probabilistic Circuits. | Honghua Zhang, Benjie Wang, Marcelo Arenas, Guy Van den Broeck |
| 2025 | ICML | TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation. | Gwen Yidou Weng, Benjie Wang, Guy Van den Broeck |
| 2025 | ICML | Scaling Probabilistic Circuits via Monarch Matrices. | Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng, Guy Van den Broeck |
| 2024 | EMNLP | Where is the signal in tokenization space? | Renato Lui Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck |
| 2024 | ICLR | Neural structure learning with stochastic differential equations. | Benjie Wang, Joel Jennings, Wenbo Gong |
| 2024 | TACAS | Provable Preimage Under-Approximation for Neural Networks. | Xiyue Zhang, Benjie Wang, Marta Kwiatkowska |
| 2023 | AISTATS | Compositional Probabilistic and Causal Inference using Tractable Circuit Models. | Benjie Wang, Marta Kwiatkowska |
| 2022 | ICML | Tractable Uncertainty for Structure Learning. | Benjie Wang, Matthew Wicker, Marta Kwiatkowska |
| 2022 | IJCAI | Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits. | Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska |
| 2021 | IJCAI | Provable Guarantees on the Robustness of Decision Rules to Causal Interventions. | Benjie Wang, Clare Lyle, Marta Kwiatkowska |
| 2021 | UAI | Statistically robust neural network classification. | Benjie Wang, Stefan Webb, Tom Rainforth |
| 2020 | EMNLP | Assessing Robustness of Text Classification through Maximal Safe Radius Computation. | Emanuele La Malfa, Min Wu, Luca Laurenti, Benjie Wang, Anthony Hartshorn, Marta Kwiatkowska |