Tal Friedman
Tal Friedman
PhD Student, UCLA
Verified email at cs.ucla.edu - Homepage
Cited by
Cited by
A semantic loss function for deep learning with symbolic knowledge
J Xu, Z Zhang, T Friedman, Y Liang, G Van den Broeck
International Conference on Machine Learning, 5502-5511, 2018
PhenomeCentral: a portal for phenotypic and genotypic matchmaking of patients with rare genetic diseases
OJ Buske, M Girdea, S Dumitriu, B Gallinger, T Hartley, H Trang, ...
Human mutation 36 (10), 931-940, 2015
Approximate knowledge compilation by online collapsed importance sampling
T Friedman, G Van den Broeck
Advances in Neural Information Processing Systems, 8024-8034, 2018
On Constrained Open-World Probabilistic Databases
T Friedman, GV Broeck
arXiv preprint arXiv:1902.10677, 2019
Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning
K Gajowniczek, Y Liang, T Friedman, T Ząbkowski, GV Broeck
Entropy 22 (3), 334, 2020
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings
T Friedman, G Van den Broeck
arXiv preprint arXiv:2002.10029, 2020
Scalable Rule Learning in Probabilistic Knowledge Bases
A Jain, T Friedman, O Kuzelka, G Van den Broeck, L De Raedt
Automated Knowledge Base Construction, 2019
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