Benjie Wang

According to our database, Benjie Wang authored at least 19 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Scaling Probabilistic Circuits via Monarch Matrices.

Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng, Guy Van den Broeck

CoRR, June, 2025

TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation.

Gwen Yidou Weng, Benjie Wang, Guy Van den Broeck

CoRR, April, 2025

Restructuring Tractable Probabilistic Circuits.

Honghua Zhang, Benjie Wang, Marcelo Arenas, Guy Van den Broeck

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

On the Relationship Between Monotone and Squared Probabilistic Circuits.

Benjie Wang, Guy Van den Broeck

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks.

Xiyue Zhang, Benjie Wang, Marta Kwiatkowska, Huan Zhang

CoRR, 2024

Probabilistic Circuits for Cumulative Distribution Functions.

Oliver Broadrick, William X. Cao, Benjie Wang, Martin Trapp, Guy Van den Broeck

CoRR, 2024

A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata.

Antoine Amarilli, Marcelo Arenas, YooJung Choi, Mikaël Monet, Guy Van den Broeck, Benjie Wang

CoRR, 2024

Provable Preimage Under-Approximation for Neural Networks.

Xiyue Zhang, Benjie Wang, Marta Kwiatkowska

Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2024

A Compositional Atlas for Algebraic Circuits.

Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck, YooJung Choi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Neural structure learning with stochastic differential equations.

Benjie Wang, Joel Jennings, Wenbo Gong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Where is the signal in tokenization space?

Renato Lui Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

On Preimage Approximation for Neural Networks.

Xiyue Zhang, Benjie Wang, Marta Kwiatkowska

CoRR, 2023

Compositional Probabilistic and Causal Inference using Tractable Circuit Models.

Benjie Wang, Marta Kwiatkowska

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Bayesian Network Models of Causal Interventions in Healthcare Decision Making: Literature Review and Software Evaluation.

Artem Velikzhanin, Benjie Wang, Marta Kwiatkowska

CoRR, 2022

Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits.

Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Tractable Uncertainty for Structure Learning.

Benjie Wang, Matthew Wicker, Marta Kwiatkowska

Proceedings of the International Conference on Machine Learning, 2022

2021

Statistically robust neural network classification.

Benjie Wang, Stefan Webb, Tom Rainforth

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Provable Guarantees on the Robustness of Decision Rules to Causal Interventions.

Benjie Wang, Clare Lyle, Marta Kwiatkowska

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Assessing Robustness of Text Classification through Maximal Safe Radius Computation.

Emanuele La Malfa, Min Wu, Luca Laurenti, Benjie Wang, Anthony Hartshorn, Marta Kwiatkowska

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020