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Adnan Darwiche - Publications

Affiliations: 
Computer Science 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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55 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Fernandes GJ, Choi A, Schauer JM, Pfammatter AF, Spring BJ, Darwiche A, Alshurafa NI. An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study. Journal of Medical Internet Research. 25: e42047. PMID 37672333 DOI: 10.2196/42047  0.639
2019 Shen Y, Goyanka A, Darwiche A, Choi A. Structured Bayesian Networks: From Inference to Learning with Routes Proceedings of the Aaai Conference On Artificial Intelligence. 33: 7957-7965. DOI: 10.1609/AAAI.V33I01.33017957  0.358
2019 Choi A, Wang R, Darwiche A. On the relative expressiveness of Bayesian and neural networks International Journal of Approximate Reasoning. 113: 303-323. DOI: 10.1016/J.Ijar.2019.07.008  0.739
2018 Oztok U, Darwiche A. An Exhaustive DPLL Algorithm for Model Counting Journal of Artificial Intelligence Research. 62: 1-32. DOI: 10.1613/Jair.1.11201  0.389
2018 Chen EY, Darwiche A, Choi A. On pruning with the MDL Score International Journal of Approximate Reasoning. 92: 363-375. DOI: 10.1016/J.Ijar.2017.10.023  0.716
2015 Yao T, Choi A, Darwiche A. Learning Bayesian network parameters under equivalence constraints Artificial Intelligence. DOI: 10.1016/J.Artint.2015.05.007  0.725
2015 Van Den Broeck G, Mohan K, Choi A, Darwiche A, Pearl J. Efficient algorithms for Bayesian network parameter learning from incomplete data Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, Uai 2015. 161-170.  0.329
2014 Chen S, Choi A, Darwiche A. Algorithms and applications for the same-decision probability Journal of Artificial Intelligence Research. 49: 601-633. DOI: 10.1613/Jair.4218  0.705
2013 Schumann J, Mbaya T, Mengshoel O, Pipatsrisawat K, Srivastava A, Choi A, Darwiche A. Software health management with Bayesian networks Innovations in Systems and Software Engineering. 9: 271-292. DOI: 10.1007/S11334-013-0214-Y  0.669
2013 Refaat KS, Choi A, Darwiche A. EDML for learning parameters in directed and undirected graphical models Advances in Neural Information Processing Systems.  0.329
2012 Choi A, Xue Y, Darwiche A. Same-decision probability: A confidence measure for threshold-based decisions International Journal of Approximate Reasoning. 53: 1415-1428. DOI: 10.1016/J.Ijar.2012.04.005  0.668
2012 Refaat KS, Choi A, Darwiche A. New advances and theoretical insights into EDML Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, Uai 2012. 705-714.  0.347
2010 He D, Choi A, Pipatsrisawat K, Darwiche A, Eskin E. Optimal algorithms for haplotype assembly from whole-genome sequence data. Bioinformatics (Oxford, England). 26: i183-90. PMID 20529904 DOI: 10.1093/Bioinformatics/Btq215  0.679
2010 Darwiche A. Bayesian networks Communications of the Acm. 53: 80-90. DOI: 10.1145/1859204.1859227  0.449
2010 Mengshoel OJ, Chavira M, Cascio K, Poll S, Darwiche A, Uckun S. 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. DOI: 10.1109/TSMCA.2010.2052037  0.77
2010 Choi A, Darwiche A. On a discrete dirichlet model Proceedings of the 5th European Workshop On Probabilistic Graphical Models, Pgm 2010. 65-72.  0.342
2009 Darwiche A. Modeling and reasoning with Bayesian networks Modeling and Reasoning With Bayesian Networks. 1-548. DOI: 10.1017/CBO9780511811357  0.378
2008 Pipatsrisawat K, Palyan A, Chavira M, Choi A, Darwiche A. Solving Weighted Max-SAT Problems in a Reduced Search Space: A Performance Analysis1 Journal On Satisfiability, Boolean Modeling and Computation. 4: 191-217. DOI: 10.3233/Sat190044  0.683
2008 Darwiche A. Chapter 11 Bayesian Networks Foundations of Artificial Intelligence. 3: 467-509. DOI: 10.1016/S1574-6526(07)03011-8  0.344
2008 Allen D, Darwiche A. RC_Link: Genetic linkage analysis using Bayesian networks International Journal of Approximate Reasoning. 48: 499-525. DOI: 10.1016/J.Ijar.2007.10.003  0.404
2008 Chavira M, Darwiche A. On probabilistic inference by weighted model counting Artificial Intelligence. 172: 772-799. DOI: 10.1016/J.Artint.2007.11.002  0.803
2008 Choi A, Darwiche A. Many-pairs mutual information for adding structure to belief propagation approximations Proceedings of the National Conference On Artificial Intelligence. 2: 1031-1036.  0.416
2008 Mengshoel OJ, Darwiche A, Cascio K, Chavira M, Poll S, Uckun S. Diagnosing faults in electrical power systems of spacecraft and aircraft Proceedings of the National Conference On Artificial Intelligence. 3: 1699-1705.  0.77
2007 Huang J, Darwiche A. The language of search Journal of Artificial Intelligence Research. 29: 191-219. DOI: 10.1613/Jair.2097  0.553
2007 Chavira M, Darwiche A. Compiling Bayesian networks using variable elimination Ijcai International Joint Conference On Artificial Intelligence. 2443-2449.  0.803
2007 Choi A, Chavira M, Darwiche A. 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.  0.782
2006 Chavira M, Darwiche A, Jaeger M. Compiling relational Bayesian networks for exact inference International Journal of Approximate Reasoning. 42: 4-20. DOI: 10.1016/J.Ijar.2005.10.001  0.794
2006 Chan H, Darwiche A. On the robustness of most probable explanations Proceedings of the 22nd Conference On Uncertainty in Artificial Intelligence, Uai 2006. 63-71.  0.373
2006 Choi A, Darwiche A. A variational approach for approximating Bayesian networks by edge deletion Proceedings of the 22nd Conference On Uncertainty in Artificial Intelligence, Uai 2006. 80-89.  0.393
2006 Choi A, Darwiche A. An edge deletion semantics for belief propagation and its practical impact on approximation quality Proceedings of the National Conference On Artificial Intelligence. 2: 1107-1114.  0.335
2006 Huang J, Chavira M, Darwiche A. Solving MAP exactly by searching on compiled arithmetic circuits Proceedings of the National Conference On Artificial Intelligence. 2: 1143-1148.  0.8
2006 Chavira M, Darwiche A. 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.  0.783
2005 Chan H, Darwiche A. A distance measure for bounding probabilistic belief change International Journal of Approximate Reasoning. 38: 149-174. DOI: 10.1016/J.Ijar.2004.07.001  0.66
2005 Chan H, Darwiche A. On the revision of probabilistic beliefs using uncertain evidence Artificial Intelligence. 163: 67-90. DOI: 10.1016/J.Artint.2004.09.005  0.642
2005 Choi A, Chan H, Darwiche A. On Bayesian network approximation by edge deletion Proceedings of the 21st Conference On Uncertainty in Artificial Intelligence, Uai 2005. 128-135.  0.386
2005 Chavira M, Darwiche A. Compiling Bayesian networks with local structure Ijcai International Joint Conference On Artificial Intelligence. 1306-1312.  0.788
2005 Chavira M, Allen D, Darwiche A. Exploiting evidence in probabilistic inference Proceedings of the 21st Conference On Uncertainty in Artificial Intelligence, Uai 2005. 112-119.  0.796
2005 Chan H, Darwiche A. Sensitivity analysis in markov networks Ijcai International Joint Conference On Artificial Intelligence. 1300-1305.  0.376
2004 Park JD, Darwiche A. Complexity results and approximation strategies for MAP explanations Journal of Artificial Intelligence Research. 21: 101-133. DOI: 10.1613/Jair.1236  0.401
2004 Darwiche A, Marquis P. Compiling propositional weighted bases Artificial Intelligence. 157: 81-113. DOI: 10.1016/J.Artint.2004.04.005  0.36
2004 Park JD, Darwiche A. A differential semantics for jointree algorithms Artificial Intelligence. 156: 197-216. DOI: 10.1016/J.Artint.2003.04.004  0.49
2003 Darwiche A. A differential approach to inference in Bayesian networks Journal of the Acm. 50: 280-305. DOI: 10.1145/765568.765570  0.51
2003 Allen D, Darwiche A. Optimal time-space tradeoff in probabilistic inference Ijcai International Joint Conference On Artificial Intelligence. 969-975.  0.363
2002 Darwiche A, Marquis P. A knowledge compilation map Journal of Artificial Intelligence Research. 17: 229-264. DOI: 10.1613/Jair.989  0.314
2002 Chan H, Darwiche A. When do numbers really matter? Journal of Artificial Intelligence Research. 17: 265-287. DOI: 10.1613/Jair.967  0.686
2001 Darwiche A. On the tractable counting of theory models and its application to truth maintenance and belief revision Journal of Applied Non-Classical Logics. 11: 11-34. DOI: 10.3166/Jancl.11.11-34  0.32
2001 Darwiche A. Decomposable negation normal form Journal of the Acm. 48: 608-647. DOI: 10.1145/502090.502091  0.345
2001 Darwiche A. Constant-space reasoning in dynamic Bayesian networks International Journal of Approximate Reasoning. 26: 161-178. DOI: 10.1016/S0888-613X(00)00067-0  0.45
2001 Darwiche A. Recursive conditioning Artificial Intelligence. 126: 5-41. DOI: 10.1016/S0004-3702(00)00069-2  0.397
2000 Darwiche A. Model-based diagnosis under real-world constraints Ai Magazine. 21: 57-73. DOI: 10.1609/Aimag.V21I2.1507  0.353
1998 Darwiche A. Model-based diagnosis using structured system descriptions Journal of Artificial Intelligence Research. 8: 165-222. DOI: 10.1613/Jair.462  0.435
1997 Darwiche A, Provan G. Query DAGs: A practical paradigm for implementing belief-network inference Journal of Artificial Intelligence Research. 6: 147-176. DOI: 10.1613/Jair.330  0.444
1997 Darwiche A. A logical notion of conditional independence: Properties and applications Artificial Intelligence. 97: 45-82. DOI: 10.1016/S0004-3702(97)00042-8  0.411
1997 Darwiche A, Pearl J. On the logic of iterated belief revision Artificial Intelligence. 89: 1-29. DOI: 10.1016/S0004-3702(96)00038-0  0.334
1996 Huang C, Darwiche A. Inference in belief networks: A procedural guide International Journal of Approximate Reasoning. 15: 255-263. DOI: 10.1016/S0888-613X(96)00069-2  0.506
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