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Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition


May 05, 2020
Mahsan Nourani, Chiradeep Roy, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate


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Lifted Marginal MAP Inference


Jul 08, 2018
Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate, Parag Singla

* Accepted in UAI-18. Corrected some typos 

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Domain Aware Markov Logic Networks


Jul 07, 2018
Happy Mittal, Ayush Bhardwaj, Vibhav Gogate, Parag Singla

* 2 pages Position Paper accepted in StarAI workshop 2018 

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Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization


Jun 14, 2018
Yibo Yang, Nicholas Ruozzi, Vibhav Gogate


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Lifted Region-Based Belief Propagation


Jun 30, 2016
David Smith, Parag Singla, Vibhav Gogate

* Sixth International Workshop on Statistical Relational AI 

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Probabilistic Inference Modulo Theories


May 27, 2016
Rodrigo de Salvo Braz, Ciaran O'Reilly, Vibhav Gogate, Rina Dechter

* Submitted to StarAI-16 workshop as closely revised version of IJCAI-16 paper 

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Join-Graph Propagation Algorithms


Jan 15, 2014
Robert Mateescu, Kalev Kask, Vibhav Gogate, Rina Dechter

* Journal Of Artificial Intelligence Research, Volume 37, pages 279-328, 2010 

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Dynamic Blocking and Collapsing for Gibbs Sampling


Sep 26, 2013
Deepak Venugopal, Vibhav Gogate

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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Structured Message Passing


Sep 26, 2013
Vibhav Gogate, Pedro Domingos

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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A Complete Anytime Algorithm for Treewidth


Jul 11, 2012
Vibhav Gogate, Rina Dechter

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

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Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints


Jul 04, 2012
Vibhav Gogate, Rina Dechter

* Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005) 

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Modeling Transportation Routines using Hybrid Dynamic Mixed Networks


Jul 04, 2012
Vibhav Gogate, Rina Dechter, Bozhena Bidyuk, Craig Rindt, James Marca

* Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005) 

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Studies in Lower Bounding Probabilities of Evidence using the Markov Inequality


Jun 20, 2012
Vibhav Gogate, Bozhena Bidyuk, Rina Dechter

* Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007) 

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AND/OR Importance Sampling


Jun 13, 2012
Vibhav Gogate, Rina Dechter

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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Formula-Based Probabilistic Inference


Mar 15, 2012
Vibhav Gogate, Pedro Domingos

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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Approximation by Quantization


Feb 14, 2012
Vibhav Gogate, Pedro Domingos


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Probabilistic Theorem Proving


Feb 14, 2012
Vibhav Gogate, Pedro Domingos


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