Eyal Amir

Publication Activity (10 Years)

Years Active: 1998-2016
Publications (10 Years): 4

Top Topics

Partially Observable

Random Graph Models

Top Venues

AAAI Workshop: Statistical Relational Artificial Intelligence

AAAI Spring Symposia

Publications

Codruta Gîrlea, Roxana Girju, Eyal Amir
Psycholinguistic Features for Deceptive Role Detection in Werewolf. HLT-NAACL (2016)
Wen Pu, Jaesik Choi, Yunseong Hwang, Eyal Amir
A Deterministic Partition Function Approximation for Exponential Random Graph Models. IJCAI (2015)
Jaesik Choi, Eyal Amir, Tianfang Xu, Albert J. Valocchi
Learning Relational Kalman Filtering. AAAI (2015)
Codruta Liliana Gîrlea, Eyal Amir
Probabilistic Region Connection Calculus. AAAI Spring Symposia (2015)
Juan Fernando Mancilla-Caceres, Dorothy Espelage, Eyal Amir
Emotions in Social Computer Games: Relations with Bullying, Aggression, and School Belonging. Int. J. Gaming Comput. Mediat. Simulations 6 (3) (2014)
Jaesik Choi, Eyal Amir, Tianfang Xu, Albert J. Valocchi
Parameter Estimation for Relational Kalman Filtering. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Codruta Liliana Gîrlea, Eyal Amir, Roxana Girju
Tracking Beliefs and Intentions in the Werewolf Game. KR (2014)
Eyal Amir, Allen Chang
Learning Partially Observable Deterministic Action Models. CoRR (2014)
Juan Fernando Mancilla-Caceres, Eyal Amir, Dorothy Espelage
Peer Nominations and Its Relation to Interactions in a Computer Game. SBP (2013)
Juan Fernando Mancilla-Caceres, Eyal Amir, Dorothy Espelage
Adaptive game for reducing aggressive behavior. IUI Companion (2013)
Wen Pu, Jaesik Choi, Eyal Amir
Lifted Inference on Transitive Relations. AAAI Workshop: Statistical Relational Artificial Intelligence (2013)
Eyal Amir
Efficient Approximation for Triangulation of Minimum Treewidth CoRR (2013)
Hannaneh Hajishirzi, Eyal Amir
Sampling First Order Logical Particles CoRR (2012)
Jaesik Choi, Eyal Amir
Lifted Relational Variational Inference. UAI (2012)
Mark Richards, Eyal Amir
Information Set Generation in Partially Observable Games. AAAI (2012)
Jaesik Choi, Eyal Amir, David J. Hill
Lifted Inference for Relational Continuous Models CoRR (2012)
Juan Fernando Mancilla-Caceres, Wen Pu, Eyal Amir, Dorothy Espelage
Identifying Bullies with a Computer Game. AAAI (2012)
Juan Fernando Mancilla-Caceres, Wen Pu, Eyal Amir, Dorothy Espelage
A Computer-in-the-Loop Approach for Detecting Bullies in the Classroom. SBP (2012)
Hannaneh Hajishirzi, Julia Hockenmaier, Erik T. Mueller, Eyal Amir
Reasoning about RoboCup Soccer Narratives CoRR (2012)
Jaesik Choi, Eyal Amir
Nonparametric Relational Hybrid Models. StarAI@UAI (2012)
Jaesik Choi, Eyal Amir
Lifted Relational Variational Inference CoRR (2012)
Allen Chang, Eyal Amir
Reachability Under Uncertainty CoRR (2012)
Hannaneh Hajishirzi, Eyal Amir
Understanding Robocup-Soccer Narratives. AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning (2011)
Afsaneh Shirazi, Eyal Amir
First-order logical filtering. Artif. Intell. 175 (1) (2011)
Hannaneh Hajishirzi, Julia Hockenmaier, Erik T. Mueller, Eyal Amir
Reasoning about RoboCup Soccer Narratives. UAI (2011)
Jaesik Choi, Abner Guzmán-Rivera, Eyal Amir
Lifted Relational Kalman Filtering. IJCAI (2011)
Juan Fernando Mancilla-Caceres, Eyal Amir
Evaluating Commonsense Knowledge with a Computer Game. INTERACT (1) (2011)
Jaesik Choi, David J. Hill, Eyal Amir
Lifted Inference for Relational Continuous Models. Statistical Relational Artificial Intelligence (2010)
Eyal Amir
Approximation Algorithms for Treewidth. Algorithmica 56 (4) (2010)
Hannaneh Hajishirzi, Eyal Amir
Reasoning about Deterministic Actions with Probabilistic Prior and Application to Stochastic Filtering. KR (2010)
Jaesik Choi, Eyal Amir, David J. Hill
Lifted Inference for Relational Continuous Models. UAI (2010)
Jaesik Choi, Eyal Amir
Combining Planning and Motion Planning. Cognitive Robotics (2010)
Juan Fernando Mancilla-Caceres, Eyal Amir
A Turing Game for Commonsense Knowledge Extraction. AAAI Fall Symposium: Commonsense Knowledge (2010)
Hannaneh Hajishirzi, Afsaneh Shirazi, Jaesik Choi, Eyal Amir
Greedy Algorithms for Sequential Sensing Decisions. IJCAI (2009)
Tsvi Achler, Dervis C. Vural, Eyal Amir
Counting objects with biologically inspired regulatory-feedback networks. IJCNN (2009)
Jaesik Choi, Eyal Amir
Combining planning and motion planning. ICRA (2009)
Tsvi Achler, Eyal Amir
Input Feedback Networks: Classification and Inference Based on Network Structure. AGI (2008)
Hannaneh Hajishirzi, Eyal Amir
Sampling First Order Logical Particles. UAI (2008)
Tsvi Achler, Eyal Amir
A Novel Classification Method Using Self-Regulatory Feedback. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2008)
Tsvi Achler, Eyal Amir
Hybrid Classification and Symbolic-Like Manipulation Using Self-Regulatory Feedback Networks. NeSy (2008)
Afsaneh Shirazi, Eyal Amir
Factored Models for Probabilistic Modal Logic. AAAI (2008)
Eyal Amir, Allen Chang
Learning Partially Observable Deterministic Action Models. J. Artif. Intell. Res. 33 (2008)
Tsvi Achler, Cyrus Omar, Eyal Amir
Shedding weights: More with less. IJCNN (2008)
Allen Chang, Eyal Amir
Reachability Under Uncertainty. UAI (2007)
Deepak Ramachandran, Eyal Amir
Bayesian Inverse Reinforcement Learning. IJCAI (2007)
Dafna Shahaf, Eyal Amir
Logical Circuit Filtering. IJCAI (2007)
Dafna Shahaf, Eyal Amir
Towards a Theory of AI Completeness. AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning (2007)
Mark Richards, Eyal Amir
Opponent Modeling in Scrabble. IJCAI (2007)
Hannaneh Hajishirzi, Eyal Amir
Stochastic Filtering in a Probabilistic Action Model. AAAI (2007)
Igor Gammer, Eyal Amir
Solving Satisfiability in Ground Logic with Equality by Efficient Conversion to Propositional Logic. SARA (2007)
Afsaneh Shirazi, Eyal Amir
Probabilistic Modal Logic. AAAI (2007)
Jaesik Choi, Eyal Amir
Factor-guided motion planning for a robot arm. IROS (2007)
Dafna Shahaf, Allen Chang, Eyal Amir
Learning Partially Observable Action Models: Efficient Algorithms. AAAI (2006)
Matthew T. Young, Eyal Amir
Building Knowledge about Buildings. AAAI Fall Symposium: Semantic Web for Collaborative Knowledge Acquisition (2006)
Jaesik Choi, Eyal Amir
Factored Planning for Controlling a Robotic Arm. AAAI Fall Symposium: Integrating Reasoning into Everyday Applications (2006)
Rodrigo de Salvo Braz, Eyal Amir, Dan Roth
MPE and Partial Inversion in Lifted Probabilistic Variable Elimination. AAAI (2006)
Uichin Lee, Joon-Sang Park, Eyal Amir, Mario Gerla
FleaNet: A Virtual Market Place on Vehicular Networks. MobiQuitous (2006)
Megan Nance, Adam Vogel, Eyal Amir
Reasoning about Partially Observed Actions. AAAI (2006)
Allen Chang, Eyal Amir
Goal Achievement in Partially Known, Partially Observable Domains. ICAPS (2006)
Dafna Shahaf, Eyal Amir
Learning Partially Observable Action Schemas. AAAI (2006)
Eyal Amir, Sheila A. McIlraith
Partition-based logical reasoning for first-order and propositional theories. Artif. Intell. 162 (1-2) (2005)
Afsaneh Shirazi, Eyal Amir
First-Order Logical Filtering. IJCAI (2005)
Deepak Ramachandran, Eyal Amir
Compact Propositional Encodings of First-Order Theories. IJCAI (2005)
Rodrigo de Salvo Braz, Eyal Amir, Dan Roth
Lifted First-Order Probabilistic Inference. IJCAI (2005)
Phil Oertel, Eyal Amir
Commonsense Knowledge Retrieval. AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors (2005)
Deepak Ramachandran, Eyal Amir
Compact Propositional Encodings of First-Order Theories. AAAI (2005)
Eyal Amir
Learning Partially Observable Deterministic Action Models. IJCAI (2005)
Eyal Amir, Pedrito Maynard-Zhang
Logic-based subsumption architecture. Artif. Intell. 153 (1-2) (2004)
Eyal Amir, Robert Krauthgamer, Satish Rao
Constant factor approximation of vertex-cuts in planar graphs. STOC (2003)
Eyal Amir, Barbara Engelhardt
Factored Planning. IJCAI (2003)
Bill MacCartney, Sheila A. McIlraith, Eyal Amir, Tomás E. Uribe
Practical Partition-Based Theorem Proving for Large Knowledge Bases. IJCAI (2003)
Eyal Amir, Stuart J. Russell
Logical Filtering. IJCAI (2003)
Eyal Amir
Interpolation Theorems for Nonmonotonic Reasoning Systems CoRR (2002)
Eyal Amir
Projection in Decomposed Situation Calculus. KR (2002)
Eyal Amir
Interpolation theorems for nonmonotonic reasoning systems. NMR (2002)
Eyal Amir
Interpolation Theorems for Nonmonotonic Reasoning Systems. JELIA (2002)
Sheila A. McIlraith, Eyal Amir
Theorem Proving with Structured Theories. IJCAI (2001)
Sheila Mcllraith, Eyal Amir
. Electron. Notes Discret. Math. 9 (2001)
Eyal Amir
Efficient Approximation for Triangulation of Minimum Treewidth. UAI (2001)
Eyal Amir, Sheila Mcllraith
Solving Satisfiability using Decomposition and the Most Constrained Subproblem (Preliminary Report). Electron. Notes Discret. Math. 9 (2001)
Eyal Amir
(De)Composition of Situation Calculus Theories. AAAI/IAAI (2000)
Eyal Amir, Sheila A. McIlraith
Improving the Efficiency of Reasoning Through Structure-Based Reformulation. SARA (2000)
Eyal Amir, Sheila A. McIlraith
Partition-Based Logical Reasoning. KR (2000)
Eyal Amir
Object-Oriented First-Order Logic. Electron. Trans. Artif. Intell. 3 (C) (1999)
Eyal Amir
Elaboration Tolerance of Logical Theories. AAAI/IAAI (1999)
Eyal Amir, Pedrito Maynard-Reid II
Logic-Based Subsumption Architecture. IJCAI (1999)
Eyal Amir
Pointwise Circumscription Revisited. KR (1998)