Marcos Chavira, Ph.D.

Affiliations: 
2007 University of California, Los Angeles, Los Angeles, CA 
Area:
probabilistic and logical reasoning and its applications, including diagnosis, planning, and system design and analysis
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"Marcos Chavira"

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Adnan Darwiche grad student 2007 UCLA
 (Beyond treewidth in probabilistic inference.)
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Publications

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Mengshoel OJ, Chavira M, Cascio K, et al. (2010) Probabilistic model-based diagnosis: An electrical power system case study Ieee Transactions On Systems, Man, and Cybernetics Part a:Systems and Humans. 40: 874-885
Chavira M, Darwiche A. (2008) On probabilistic inference by weighted model counting Artificial Intelligence. 172: 772-799
Mengshoel OJ, Darwiche A, Cascio K, et al. (2008) Diagnosing faults in electrical power systems of spacecraft and aircraft Proceedings of the National Conference On Artificial Intelligence. 3: 1699-1705
Choi A, Chavira M, Darwiche A. (2007) Node splitting: A scheme for generating upper bounds in Bayesian networks Proceedings of the 23rd Conference On Uncertainty in Artificial Intelligence, Uai 2007. 57-66
Chavira M, Darwiche A. (2007) Compiling Bayesian networks using variable elimination Ijcai International Joint Conference On Artificial Intelligence. 2443-2449
Chavira M, Darwiche A, Jaeger M. (2006) Compiling relational Bayesian networks for exact inference International Journal of Approximate Reasoning. 42: 4-20
Huang J, Chavira M, Darwiche A. (2006) Solving MAP exactly by searching on compiled arithmetic circuits Proceedings of the National Conference On Artificial Intelligence. 2: 1143-1148
Chavira M, Darwiche A. (2006) Encoding CNFs to empower component analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4121: 61-74
Chavira M, Darwiche A. (2005) Compiling Bayesian networks with local structure Ijcai International Joint Conference On Artificial Intelligence. 1306-1312
Chavira M, Allen D, Darwiche A. (2005) Exploiting evidence in probabilistic inference Proceedings of the 21st Conference On Uncertainty in Artificial Intelligence, Uai 2005. 112-119
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