Broeck, Guy

12 publications

UAI 2024 Polynomial Semantics of Tractable Probabilistic Circuits Oliver Broadrick, Honghua Zhang, Guy Broeck

AISTATS 2023 Mixtures of All Trees Nikil Roashan Selvam, Honghua Zhang, Guy Broeck

AISTATS 2023 Semantic Strengthening of Neuro-Symbolic Learning Kareem Ahmed, Kai-Wei Chang, Guy Broeck

UAI 2022 Neuro-Symbolic Entropy Regularization Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Broeck

UAI 2021 Tractable Computation of Expected Kernels Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Broeck

UAI 2020 On the Relationship Between Probabilistic Circuits and Determinantal Point Processes Honghua Zhang, Steven Holtzen, Guy Broeck

PGM 2020 Strudel: Learning Structured-Decomposable Probabilistic Circuits Meihua Dang, Antonio Vergari, Guy Broeck

UAI 2020 Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings Tal Friedman, Guy Broeck

UAI 2019 Efficient Search-Based Weighted Model Integration Zhe Zeng, Guy Broeck

ICML 2018 A Semantic Loss Function for Deep Learning with Symbolic Knowledge Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Broeck

ICML 2018 Sound Abstraction and Decomposition of Probabilistic Programs Steven Holtzen, Guy Broeck, Todd Millstein

NeurIPS 2011 On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference Guy Broeck