Benjie Wang

Benjie Wang

Postdoctoral Scholar

University of California, Los Angeles

I am a Postdoctoral Scholar in the Statistical and Relational Artificial Intelligence (StarAI) lab in the Computer Science Department at UCLA. My research interests are in causality (reasoning, inference, discovery), tractable knowledge representations (logical and probabilistic circuits), and machine learning.

Previously, I was a research fellow at the Simons Institute for the Theory of Computing at UC Berkeley, and received my DPhil in Computer Science from the University of Oxford under the supervision of Prof. Marta Kwiatkowska.

Experience

  • Postdoctoral Scholar

    January 2024 - Present

    UCLA

  • Research Fellow

    August 2023 - December 2023

    Simons Institute, UC Berkeley

  • Research Intern

    June 2023 - August 2023

    Microsoft Research Cambridge

Education

  • DPhil in Computer Science, 2023

    University of Oxford

  • MSc in Statistics, 2019

    University of Oxford

  • BA in Mathematics, 2018

    University of Cambridge

Recent Publications

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Benjie Wang, Joel Jennings, Wenbo Gong (2024). Neural Structure Learning with Stochastic Differential Equations. International Conference on Learning Representations (ICLR).

Xiyue Zhang, Benjie Wang, Marta Kwiatkowska (2024). Provable Preimage Under-Approximation for Neural Networks. International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS, to appear).

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Benjie Wang, Marta Kwiatkowska (2023). Compositional Probabilistic and Causal Inference using Tractable Circuit Models. International Conference on Artificial Intelligence and Statistics (AISTATS).

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Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska (2022). Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits. International Joint Conference on Artificial Intelligence (IJCAI).

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Benjie Wang, Marta Kwiatkowska (2022). Symbolic Causal Inference via Operations on Probabilistic Circuits. NeurIPS 2022 Workshop on Neuro Causal and Symbolic AI (nCSI).

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