Vibhav Gogate

Citirano

	Sve	Od 2020.
Citati	2832	1136
H-indeks	31	18
i10-indeks	54	32

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Suautori

Rina DechterUniversity of California, IrvinePotvrđena adresa e-pošte na ics.uci.edu
Tahrima RahmanPostdoctoral Research Associate, University of Texas at DallasPotvrđena adresa e-pošte na utdallas.edu
Deepak VenugopalThe University of MemphisPotvrđena adresa e-pošte na memphis.edu
Mahsan NouraniNortheastern UniversityPotvrđena adresa e-pošte na northeastern.edu
Parag SinglaIndian Institute of Technology DelhiPotvrđena adresa e-pošte na cse.iitd.ac.in
Nicholas RuozziUniversity of Texas at DallasPotvrđena adresa e-pošte na utdallas.edu
Pedro DomingosProfessor of Computer Science and Engineering, University of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Eric RaganUniversity of FloridaPotvrđena adresa e-pošte na ufl.edu
Somdeb SarkhelSenior Research ScientistPotvrđena adresa e-pošte na adobe.com
Chiradeep RoyAdobe IncPotvrđena adresa e-pošte na adobe.com
Donald HoneycuttUniversity of FloridaPotvrđena adresa e-pošte na ufl.edu
Happy MittalSenior Applied Scientist, Amazon IndiaPotvrđena adresa e-pošte na amazon.com
Kalev KaskResearcher, University of California at IrvinePotvrđena adresa e-pošte na uci.edu
Jeremy E. BlockHuman Centered Computing Ph.D. Student at the University of FloridaPotvrđena adresa e-pošte na ufl.edu
Vincent NgProfessor of Computer Science, University of Texas at DallasPotvrđena adresa e-pošte na hlt.utdallas.edu
Rohith PeddiThe University of Texas at DallasPotvrđena adresa e-pošte na utdallas.edu
Shivvrat AryaDoctoral Candidate, The University of Texas at DallasPotvrđena adresa e-pošte na utdallas.edu
Abhay JhaFacebook, Inc.Potvrđena adresa e-pošte na fb.com
Bozhena BidyukUberPotvrđena adresa e-pošte na uber.com
Sara RouhaniThe University of Texas at DallasPotvrđena adresa e-pošte na utdallas.edu

Prati

Vibhav Gogate

The University of Texas at Dallas

Potvrđena adresa e-pošte na utdallas.edu - Početna stranica

Artificial Intelligence Graphical models machine learning Probabilistic Inference Statistical Relational Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Probabilistic theorem proving V Gogate, P Domingos Communications of the ACM 59 (7), 107-115, 2016	274	2016
A complete anytime algorithm for treewidth V Gogate, R Dechter arXiv preprint arXiv:1207.4109, 2012	231	2012
Cutset networks: A simple, tractable, and scalable approach for improving the accuracy of chow-liu trees T Rahman, P Kothalkar, V Gogate Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014	131	2014
SampleSearch: Importance sampling in presence of determinism V Gogate, R Dechter Artificial Intelligence 175 (2), 694-729, 2011	129	2011
Lifted inference seen from the other side: The tractable features A Jha, V Gogate, A Meliou, D Suciu Advances in Neural Information Processing Systems 23, 2010	90	2010
Relieving the computational bottleneck: Joint inference for event extraction with high-dimensional features D Venugopal, C Chen, V Gogate, V Ng Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014	85	2014
Join-graph propagation algorithms R Mateescu, K Kask, V Gogate, R Dechter Journal of Artificial Intelligence Research 37, 279-328, 2010	84	2010
Chiradeep Roy, Jeremy E Block, Donald R Honeycutt, Tahrima Rahman, Eric Ragan, and Vibhav Gogate. 2021. Anchoring Bias Affects Mental Model Formation and User Reliance in … M Nourani 26th International Conference on Intelligent User Interfaces, 340-350, 2021	75	2021
Approximate counting by sampling the backtrack-free search space V Gogate, R Dechter AAAI 7, 198-203, 2007	75	2007
Anchoring bias affects mental model formation and user reliance in explainable AI systems M Nourani, C Roy, JE Block, DR Honeycutt, T Rahman, E Ragan, ... Proceedings of the 26th International Conference on Intelligent User …, 2021	71	2021
A new algorithm for sampling csp solutions uniformly at random V Gogate, R Dechter International Conference on Principles and Practice of Constraint …, 2006	71	2006
On lifting the gibbs sampling algorithm D Venugopal, V Gogate Advances in Neural Information Processing Systems 25, 2012	68	2012
Approximate inference algorithms for hybrid bayesian networks with discrete constraints V Gogate, R Dechter arXiv preprint arXiv:1207.1385, 2012	64	2012
Evidence-based clustering for scalable inference in markov logic D Venugopal, V Gogate Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014	54	2014
Learning efficient Markov networks V Gogate, W Webb, P Domingos Advances in neural information processing systems 23, 2010	54	2010
Samplesearch: A scheme that searches for consistent samples V Gogate, R Dechter Artificial Intelligence and Statistics, 147-154, 2007	54	2007
Counting-based look-ahead schemes for constraint satisfaction K Kask, R Dechter, V Gogate International Conference on Principles and Practice of Constraint …, 2004	54	2004
Merging Strategies for Sum-Product Networks: From Trees to Graphs. T Rahman, V Gogate UAI, 2016	53	2016
Joint inference for event coreference resolution J Lu, D Venugopal, V Gogate, V Ng Proceedings of COLING 2016, the 26th International Conference on …, 2016	50	2016
Lifted MAP inference for Markov logic networks S Sarkhel, D Venugopal, P Singla, V Gogate Artificial intelligence and statistics, 859-867, 2014	49	2014

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