Benjie Wang

Orcid: 0000-0002-8477-1886

Affiliations:
  • University of California, Los Angeles, USA
  • University of Oxford, UK (former)


According to our database1, Benjie Wang authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
A Compositional Atlas for Algebraic Circuits.
CoRR, 2024

PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks.
CoRR, 2024

Probabilistic Circuits for Cumulative Distribution Functions.
CoRR, 2024

On the Relationship Between Monotone and Squared Probabilistic Circuits.
CoRR, 2024

A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata.
CoRR, 2024

Provable Preimage Under-Approximation for Neural Networks.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2024

Neural structure learning with stochastic differential equations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Where is the signal in tokenization space?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
On Preimage Approximation for Neural Networks.
CoRR, 2023

Compositional Probabilistic and Causal Inference using Tractable Circuit Models.
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.
CoRR, 2022

Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Tractable Uncertainty for Structure Learning.
Proceedings of the International Conference on Machine Learning, 2022

2021
Statistically robust neural network classification.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Provable Guarantees on the Robustness of Decision Rules to Causal Interventions.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Assessing Robustness of Text Classification through Maximal Safe Radius Computation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020


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