Wang, Benjie

13 publications

AAAI 2025 On the Relationship Between Monotone and Squared Probabilistic Circuits Benjie Wang, Guy Van den Broeck

JMLR 2025 PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks Xiyue Zhang, Benjie Wang, Marta Kwiatkowska, Huan Zhang

AISTATS 2025 Restructuring Tractable Probabilistic Circuits Honghua Zhang, Benjie Wang, Marcelo Arenas, Guy Van Broeck

ICML 2025 Scaling Probabilistic Circuits via Monarch Matrices Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng, Guy Van Den Broeck

ICML 2025 TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation Gwen Yidou Weng, Benjie Wang, Guy Van Den Broeck

NeurIPS 2024 A Compositional Atlas for Algebraic Circuits Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck, YooJung Choi

ICLR 2024 Neural Structure Learning with Stochastic Differential Equations Benjie Wang, Joel Jennings, Wenbo Gong

AISTATS 2023 Compositional Probabilistic and Causal Inference Using Tractable Circuit Models Benjie Wang, Marta Kwiatkowska

IJCAI 2022 Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska

NeurIPSW 2022 Symbolic Causal Inference via Operations on Probabilistic Circuits Benjie Wang, Marta Kwiatkowska

ICML 2022 Tractable Uncertainty for Structure Learning Benjie Wang, Matthew R Wicker, Marta Kwiatkowska

IJCAI 2021 Provable Guarantees on the Robustness of Decision Rules to Causal Interventions Benjie Wang, Clare Lyle, Marta Kwiatkowska

UAI 2021 Statistically Robust Neural Network Classification Benjie Wang, Stefan Webb, Tom Rainforth