Benjie Wang

According to our database, Benjie Wang authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

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

2023

Neural Structure Learning with Stochastic Differential Equations.

Benjie Wang, Joel Jennings, Wenbo Gong

CoRR, 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