Tal Friedman

13 papers A* 3A 2Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2022 A conf
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations.
AISTATS
YooJung Choi, Tal Friedman, Guy Van den Broeck
2021 J jnl
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations.
CoRR
YooJung Choi, Tal Friedman, Guy Van den Broeck
2020 J jnl
Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning.
Entropy
Krzysztof Gajowniczek, Yitao Liang, Tal Friedman, Tomasz S. Zabkowski, Guy Van den Broeck
2020 A conf
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings.
UAI
Tal Friedman, Guy Van den Broeck
2020 J jnl
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings.
CoRR
Tal Friedman, Guy Van den Broeck
2019 — conf
On Constrained Open-World Probabilistic Databases.
AKBC
Tal Friedman, Guy Van den Broeck
2019 A* conf
On Constrained Open-World Probabilistic Databases.
IJCAI
Tal Friedman, Guy Van den Broeck
2019 J jnl
On Constrained Open-World Probabilistic Databases.
CoRR
Tal Friedman, Guy Van den Broeck
2019 — conf
Scalable Rule Learning in Probabilistic Knowledge Bases.
AKBC
Arcchit Jain, Tal Friedman, Ondrej Kuzelka, Guy Van den Broeck, Luc De Raedt
2018 A* conf
A Semantic Loss Function for Deep Learning with Symbolic Knowledge.
ICML
Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck
2018 A* conf
Approximate Knowledge Compilation by Online Collapsed Importance Sampling.
NeurIPS
Tal Friedman, Guy Van den Broeck
2018 J jnl
Approximate Knowledge Compilation by Online Collapsed Importance Sampling.
CoRR
Tal Friedman, Guy Van den Broeck
2017 J jnl
A Semantic Loss Function for Deep Learning with Symbolic Knowledge.
CoRR
Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck