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2020 – today
- 2022
[c7]YooJung Choi
, Tal Friedman, Guy Van den Broeck:
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations. AISTATS 2022: 10196-10208- 2021
- [i5]YooJung Choi, Tal Friedman, Guy Van den Broeck:
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations. CoRR abs/2111.04833 (2021) - 2020
- [j1]Krzysztof Gajowniczek, Yitao Liang, Tal Friedman, Tomasz S. Zabkowski, Guy Van den Broeck:
Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning. Entropy 22(3): 334 (2020) - [c6]Tal Friedman, Guy Van den Broeck:
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings. UAI 2020: 1268-1277 - [i4]Tal Friedman, Guy Van den Broeck:
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings. CoRR abs/2002.10029 (2020)
2010 – 2019
- 2019
- [c5]Tal Friedman, Guy Van den Broeck:
On Constrained Open-World Probabilistic Databases. AKBC 2019 - [c4]Arcchit Jain, Tal Friedman, Ondrej Kuzelka, Guy Van den Broeck, Luc De Raedt:
Scalable Rule Learning in Probabilistic Knowledge Bases. AKBC 2019 - [c3]Tal Friedman, Guy Van den Broeck:
On Constrained Open-World Probabilistic Databases. IJCAI 2019: 5722-5729 - [i3]Tal Friedman, Guy Van den Broeck:
On Constrained Open-World Probabilistic Databases. CoRR abs/1902.10677 (2019) - 2018
- [c2]Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck:
A Semantic Loss Function for Deep Learning with Symbolic Knowledge. ICML 2018: 5498-5507 - [c1]Tal Friedman, Guy Van den Broeck:
Approximate Knowledge Compilation by Online Collapsed Importance Sampling. NeurIPS 2018: 8035-8045 - [i2]Tal Friedman, Guy Van den Broeck:
Approximate Knowledge Compilation by Online Collapsed Importance Sampling. CoRR abs/1805.12565 (2018) - 2017
- [i1]Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck:
A Semantic Loss Function for Deep Learning with Symbolic Knowledge. CoRR abs/1711.11157 (2017)
Coauthor Index
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