Eric Gribkoff

11 papers A* 2A 1Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2016 J jnl
SlimShot: In-Database Probabilistic Inference for Knowledge Bases.
Proc. VLDB Endow.
Eric Gribkoff, Dan Suciu
2016 — conf
SlimShot: Probabilistic Inference for Web-Scale Knowledge Bases.
AAAI Workshop: Beyond NP
Eric Gribkoff, Dan Suciu
2015 A* conf
Exploring Markov Logic Networks for Question Answering.
EMNLP
Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni
2015 J jnl
Markov Logic Networks for Natural Language Question Answering.
CoRR
Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni
2015 A* conf
Symmetric Weighted First-Order Model Counting.
PODS
Paul Beame, Guy Van den Broeck, Eric Gribkoff, Dan Suciu
2014 J jnl
Lifted Probabilistic Inference: A Guide for the Database Researcher.
IEEE Data Eng. Bull.
Eric Gribkoff, Dan Suciu, Guy Van den Broeck
2014 J jnl
Symmetric Weighted First-Order Model Counting.
CoRR
Paul Beame, Guy Van den Broeck, Eric Gribkoff, Dan Suciu
2014 — conf
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting.
StarAI@AAAI
Eric Gribkoff, Guy Van den Broeck, Dan Suciu
2014 A conf
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting.
UAI
Eric Gribkoff, Guy Van den Broeck, Dan Suciu
2014 J jnl
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting.
CoRR
Eric Gribkoff, Guy Van den Broeck, Dan Suciu
2013 — conf
On implementing provenance-aware regular path queries with relational query engines.
EDBT/ICDT Workshops
Saumen C. Dey, Víctor Cuevas-Vicenttín, Sven Köhler, Eric Gribkoff, Michael Wang, Bertram Ludäscher