Tal Friedman

According to our database, Tal Friedman authored at least 7 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Solving Marginal MAP Exactly by Probabilistic Circuit Transformations.

YooJung Choi, Tal Friedman, Guy Van den Broeck

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning.

Krzysztof Gajowniczek, Yitao Liang, Tal Friedman, Tomasz Zabkowski, Guy Van den Broeck

Entropy, 2020

Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings.

Tal Friedman, Guy Van den Broeck

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Scalable Rule Learning in Probabilistic Knowledge Bases.

Arcchit Jain, Tal Friedman, Ondrej Kuzelka, Guy Van den Broeck, Luc De Raedt

Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

On Constrained Open-World Probabilistic Databases.

Tal Friedman, Guy Van den Broeck

Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

2018

Approximate Knowledge Compilation by Online Collapsed Importance Sampling.

Tal Friedman, Guy Van den Broeck

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Semantic Loss Function for Deep Learning with Symbolic Knowledge.

Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck

Proceedings of the 35th International Conference on Machine Learning, 2018