Eric Gribkoff

Publication Activity (10 Years)

Years Active: 2013-2016
Publications (10 Years): 2

Top Topics

Weighted Model Counting

Bucket Elimination

Probabilistic Inference

Top Venues

Proc. VLDB Endow.

Publications

Eric Gribkoff, Dan Suciu
SlimShot: In-Database Probabilistic Inference for Knowledge Bases. Proc. VLDB Endow. 9 (7) (2016)
Eric Gribkoff, Dan Suciu
SlimShot: Probabilistic Inference for Web-Scale Knowledge Bases. AAAI Workshop: Beyond NP (2016)
Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni
Markov Logic Networks for Natural Language Question Answering. CoRR (2015)
Paul Beame, Guy Van den Broeck, Eric Gribkoff, Dan Suciu
Symmetric Weighted First-Order Model Counting. PODS (2015)
Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni
Exploring Markov Logic Networks for Question Answering. EMNLP (2015)
Eric Gribkoff, Guy Van den Broeck, Dan Suciu
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Eric Gribkoff, Dan Suciu, Guy Van den Broeck
Lifted Probabilistic Inference: A Guide for the Database Researcher. IEEE Data Eng. Bull. 37 (3) (2014)
Paul Beame, Guy Van den Broeck, Eric Gribkoff, Dan Suciu
Symmetric Weighted First-Order Model Counting. CoRR (2014)
Eric Gribkoff, Guy Van den Broeck, Dan Suciu
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting. UAI (2014)
Eric Gribkoff, Guy Van den Broeck, Dan Suciu
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting. CoRR (2014)
Saumen C. Dey, Víctor Cuevas-Vicenttín, Sven Köhler, Eric Gribkoff, Michael Wang, Bertram Ludäscher
On implementing provenance-aware regular path queries with relational query engines. EDBT/ICDT Workshops (2013)