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ORCIDBenjie Wang 0001
Person information
- affiliation: University of California, Los Angeles, USA
- affiliation (former): University of Oxford, UK
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2020 – today
- 2024
[c9]Renato Lui Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck:
Where is the signal in tokenization space? EMNLP 2024: 3966-3979- [c8]Benjie Wang, Joel Jennings, Wenbo Gong:
Neural structure learning with stochastic differential equations. ICLR 2024 - [c7]Xiyue Zhang, Benjie Wang, Marta Kwiatkowska:
Provable Preimage Under-Approximation for Neural Networks. TACAS (3) 2024: 3-23 - [i14]Antoine Amarilli, Marcelo Arenas, YooJung Choi, Mikaël Monet, Guy Van den Broeck, Benjie Wang:
A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata. CoRR abs/2404.09674 (2024) - [i13]Benjie Wang, Guy Van den Broeck:
On the Relationship Between Monotone and Squared Probabilistic Circuits. CoRR abs/2408.00876 (2024) - [i12]Oliver Broadrick, William X. Cao, Benjie Wang, Martin Trapp, Guy Van den Broeck:
Probabilistic Circuits for Cumulative Distribution Functions. CoRR abs/2408.04229 (2024) - [i11]Renato Lui Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck:
Where is the signal in tokenization space? CoRR abs/2408.08541 (2024) - [i10]Xiyue Zhang, Benjie Wang, Marta Kwiatkowska, Huan Zhang:
PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks. CoRR abs/2408.09262 (2024) - 2023
- [c6]Benjie Wang, Marta Kwiatkowska:
Compositional Probabilistic and Causal Inference using Tractable Circuit Models. AISTATS 2023: 9488-9498 - [i9]Benjie Wang, Marta Kwiatkowska:
Compositional Probabilistic and Causal Inference using Tractable Circuit Models. CoRR abs/2304.08278 (2023) - [i8]Xiyue Zhang, Benjie Wang, Marta Kwiatkowska:
On Preimage Approximation for Neural Networks. CoRR abs/2305.03686 (2023) - [i7]Benjie Wang, Joel Jennings, Wenbo Gong:
Neural Structure Learning with Stochastic Differential Equations. CoRR abs/2311.03309 (2023) - 2022
- [c5]Benjie Wang
, Matthew Wicker, Marta Kwiatkowska:
Tractable Uncertainty for Structure Learning. ICML 2022: 23131-23150 - [c4]Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska:
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits. IJCAI 2022: 4885-4892 - [i6]Benjie Wang, Matthew Wicker, Marta Kwiatkowska:
Tractable Uncertainty for Structure Learning. CoRR abs/2204.14170 (2022) - [i5]Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska:
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits. CoRR abs/2205.05793 (2022) - [i4]Artem Velikzhanin, Benjie Wang, Marta Kwiatkowska:
Bayesian Network Models of Causal Interventions in Healthcare Decision Making: Literature Review and Software Evaluation. CoRR abs/2211.15258 (2022) - 2021
- [c3]Benjie Wang, Clare Lyle, Marta Kwiatkowska:
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions. IJCAI 2021: 4258-4265 - [c2]Benjie Wang, Stefan Webb, Tom Rainforth:
Statistically robust neural network classification. UAI 2021: 1735-1745 - [i3]Benjie Wang, Clare Lyle, Marta Kwiatkowska:
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions. CoRR abs/2105.09108 (2021) - 2020
- [c1]Emanuele La Malfa, Min Wu, Luca Laurenti, Benjie Wang, Anthony Hartshorn, Marta Kwiatkowska:
Assessing Robustness of Text Classification through Maximal Safe Radius Computation. EMNLP (Findings) 2020: 2949-2968 - [i2]Emanuele La Malfa, Min Wu, Luca Laurenti, Benjie Wang, Anthony Hartshorn, Marta Kwiatkowska:
Assessing Robustness of Text Classification through Maximal Safe Radius Computation. CoRR abs/2010.02004 (2020)
2010 – 2019
- 2019
- [i1]Benjie Wang, Stefan Webb, Tom Rainforth:
Statistically Robust Neural Network Classification. CoRR abs/1912.04884 (2019)
Coauthor Index
aka: Marta Kwiatkowska
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