Eyal Amir

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Jaesik ChoiDirector of Explainable Artificial Intelligence Center at KAISTVerified email at kaist.ac.kr
Rodrigo de Salvo BrazResearch Scientist, MetaVerified email at fb.com
Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Sheila McIlraithProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Deepak RamachandranGoogle ResearchVerified email at google.com
Barbara MinskerProfessor, Civil and Environmental Engineering, Southern Methodist UniversityVerified email at smu.edu
Dorothy L. EspelageWilliam C. Friday Distinguished Professor of Education, University of North Carolina at Chapel HillVerified email at unc.edu
Hannaneh HajishirziUniversity of Washington; Allen AIVerified email at cs.washington.edu
Dafna ShahafAssociate Professor of Computer Science, The Hebrew University of JerusalemVerified email at cs.huji.ac.il
Al ValocchiProfessor of Civil and Environmental Engineering, Univ. of IllinoisVerified email at illinois.edu
Tianfang XuAssistant Professor, Arizona State UniversityVerified email at asu.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu
Barbara EngelhardtSenior Investigator, Gladstone Institutes and Professor, Stanford UniversityVerified email at stanford.edu
Codruta GirleaVerified email at illinois.edu
Abner Guzmán RiveraUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Erik T. MuellerComputer ScientistVerified email at media.mit.edu
Bill MacCartneyVP Engineering | Machine Learning, CohereVerified email at cs.stanford.edu
Robert KrauthgamerWeizmann Institute of ScienceVerified email at weizmann.ac.il
Satish B RaoVerified email at berkeley.edu
Julia HockenmaierProfessor, University of Illinois at Urbana-Champaign (UIUC)Verified email at illinois.edu

Eyal Amir

Professor of Computer Science, University of Illinois at Urbana-Champaign

Verified email at illinois.edu - Homepage

Artificial Intelligence Machine Learning Algorithms


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bayesian Inverse Reinforcement Learning. D Ramachandran, E Amir IJCAI 7, 2586-2591, 2007	1034	2007
Lifted first-order probabilistic inference R Braz, E Amir, D Roth Proceedings of the Nineteenth International Joint Conference on Artificial …, 2005	423*	2005
Partition-based logical reasoning for first-order and propositional theories E Amir, S McIlraith Artificial intelligence 162 (1-2), 49-88, 2005	260	2005
Efficient approximation for triangulation of minimum treewidth E Amir arXiv preprint arXiv:1301.2253, 2013	183	2013
Learning partially observable deterministic action models E Amir, A Chang Journal of Artificial Intelligence Research 33, 349-402, 2008	171	2008
Real-time Bayesian anomaly detection for environmental sensor data DJ Hill, BS Minsker, E Amir Proceedings of the Congress-International Association for Hydraulic Research …, 2007	169	2007
Factored planning E Amir, B Engelhardt IJCAI 3, 929-935, 2003	130	2003
Approximation algorithms for treewidth E Amir Algorithmica 56, 448-479, 2010	107	2010
Real‐time Bayesian anomaly detection in streaming environmental data DJ Hill, BS Minsker, E Amir Water resources research 45 (4), 2009	96	2009
Practical partition-based theorem proving for large knowledge bases B MacCartney, S McIlraith, E Amir, T Uribe Proc. of the International Joint Conference on Artificial Intelligence (IJCAI), 2003	75	2003
Towards a theory of ai completeness. D Shahaf, E Amir AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning, 150-155, 2007	74	2007
MPE and partial inversion in lifted probabilistic variable elimination R de Salvo Braz, E Amir, D Roth AAAI 6, 1123-1130, 2006	74	2006
Lifted inference for relational continuous models J Choi, DJ Hill, E Amir Workshops at the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010	71	2010
Logic-based subsumption architecture E Amir, P Maynard-Zhang Artificial Intelligence 153 (1-2), 167-237, 2004	71	2004
Theorem proving with structured theories S McIlraith, E Amir IJCAI 1, 624-634, 2001	64	2001
Opponent Modeling in Scrabble. M Richards, E Amir IJCAI, 1482-1487, 2007	60	2007
Combining planning and motion planning J Choi, E Amir 2009 IEEE International Conference on Robotics and Automation, 238-244, 2009	58	2009
Logical filtering E Amir, S Russell IJCAI 3, 75-82, 2003	57	2003
Learning partially observable action schemas D Shahaf, E Amir AAAI, 913-919, 2006	55	2006
Use of machine learning methods to reduce predictive error of groundwater models T Xu, AJ Valocchi, J Choi, E Amir Groundwater 52 (3), 448-460, 2014	53	2014

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