Tal Friedman

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 13

Top Topics

Aggregate Queries

Probabilistic Databases

Symbolic Knowledge

Top Venues

Publications

YooJung Choi, Tal Friedman, Guy Van den Broeck
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations. AISTATS (2022)
YooJung Choi, Tal Friedman, Guy Van den Broeck
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations. CoRR (2021)
Tal Friedman, Guy Van den Broeck
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings. CoRR (2020)
Krzysztof Gajowniczek, Yitao Liang, Tal Friedman, Tomasz Zabkowski, Guy Van den Broeck
Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning. Entropy 22 (3) (2020)
Tal Friedman, Guy Van den Broeck
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings. UAI (2020)
Tal Friedman, Guy Van den Broeck
On Constrained Open-World Probabilistic Databases. CoRR (2019)
Tal Friedman, Guy Van den Broeck
On Constrained Open-World Probabilistic Databases. IJCAI (2019)
Arcchit Jain, Tal Friedman, Ondrej Kuzelka, Guy Van den Broeck, Luc De Raedt
Scalable Rule Learning in Probabilistic Knowledge Bases. AKBC (2019)
Tal Friedman, Guy Van den Broeck
On Constrained Open-World Probabilistic Databases. AKBC (2019)
Tal Friedman, Guy Van den Broeck
Approximate Knowledge Compilation by Online Collapsed Importance Sampling. CoRR (2018)
Tal Friedman, Guy Van den Broeck
Approximate Knowledge Compilation by Online Collapsed Importance Sampling. NeurIPS (2018)
Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck
A Semantic Loss Function for Deep Learning with Symbolic Knowledge. ICML (2018)
Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck
A Semantic Loss Function for Deep Learning with Symbolic Knowledge. CoRR (2017)