Modeling Temporal Activity Patterns in Dynamic Social Networks. Raghavan, V.; Steeg, G. V.; Galstyan, A.; and Tartakovsky, A. G. submitted, . 2013.
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Opinion Dynamics with Confirmation Bias. Allahverdyan, A.; and Galstyan, A. In in submission, 2013.
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Adaptive Agents on Evolving Networks. Kianercy, A.; Galstyan, A.; and Allahverdyan, A. In AAMAS-2012, 2012.
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Continuous Strategy Replicator Dynamics for Multi--Agent Learning. Galstyan, A. accepted for publication in JAAMAS, . 2011.
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Co-Evolving Mixed Membership BlockModels. Cho, Y. S.; Steeg, G. V.; and Galstyan, A. In NIPS workshopon Networks Across Disciplines, 2010.
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Clustering with prior information. Allahverdyan, A.; Galstyan, A.; and Steeg, G. V. In NIPS workshop: Clustering: Science or Art? Towards Principled Approaches, 2009.
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Influence Propagation in Modular Networks. Galstyan, A.; and Cohen, P. R. In AAAI Symposium on Social Information Processing, 2008.
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Analysis of Dynamic Task Allocation in Multi-Robot Systems. Lerman, K.; Jones, C. V.; Galstyan, A.; and Matarić, M. J. International Journal of Robotics Research, 25(3):225--242. 2006.
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Resource Allocation in the Grid with Learning Agents. Galstyan, A.; Czajkowski, K.; and Lerman, K. Journal of Grid Computing, 3(1--2):91--100. June 2005.
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Distributed Online Localization in Sensor Networks Using a Moving Target. Galstyan, A.; Krishnamachari, B.; Pattem, S.; and Lerman, K. In Information Processing in Sensor Networks (IPSN-2004), Berkeley, CA, apr 2004.
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Macroscopic Analysis of Adaptive Task Allocation in Robots. Lerman, K.; and Galstyan, A. In Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS-2003), Las Vegas, NV, page 1951--1956, oct 2003.
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Adaptive Boolean Networks and Minority Games with Time-Dependent Cutoffs. Galstyan, A.; and Lerman, K. Physical Review E, 66:015103. 2002.
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Coevolutionary networks of reinforcement-learning agents. Kianercy, A.; and Galstyan, A. Phys. Rev. E, 88:012815. Jul 2013.
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Information-Theoretic Measures of Influence Based on Content Dynamics. Steeg, G. V.; and Galstyan, A. In in Proc. of WSDM'13, Rome, Italy, 2012.
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Dynamics of Boltzmann Q learning in two-player two-action games. Kianercy, A.; and Galstyan, A. Phys. Rev. E, 85:041145. Apr 2012.
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A Sequence of Relaxations Constraining Hidden Variable Models. Steeg, G. V.; and Galstyan, A. In Proc. of the 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011); Best paper runner up, 2011.
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Replicator Dynamics of Co-Evolving Networks. Galstyan, A.; Kianercy, A.; and Allahverdyan, A. In AAAI Fall Symposium on Complex Adaptive Systems, Nov 2010.
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Maximizing influence propagation in networks with community structure. Galstyan, A.; Musoyan, V.; and Cohen, P. Phys. Rev. E, 79(5):056102. May 2009.
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Comparative Analysis of Top-down and Bottom-up Methodologies for Multi-Agent Systems. Crespi, V.; Galstyan, A.; and Lerman, K. Autonomous Robots, 24(3):303--313. April 2008.
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Inferring Useful Heuristics from the Dynamics of Iterative Relational Classifiers. Galstyan, A.; and Cohen, P. R. In Proceedings of IJCAI-05, 19th International Joint Conference on Artificial Intelligence, 2005.
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Comparative Analysis of Top-down and Bottom-up Methodologies for Multi-Agent Systems. Crespi, V.; Galstyan, A.; and Lerman, K. In Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2005) (poster), Utrecht, Netherlands, jun 2005.
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Resource Allocation and Emergent Coordination in Wireless Sensor Networks. Galstyan, A.; Krishnamachari, B.; and Lerman, K. In Workshop on Sensor Networks at the The 19th National Conference on Artificial Intelligence (AAAI-04), 2004.
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Threshold Behavior in Boolean Network Model for SAT. Bugacov, A.; Galstyan, A.; and Lerman, K. In Proceedings of the International Conference on Artificial Intelligence (IC-AI-2003), Las Vegas, NV, page 87--92, jun 2003.
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Mathematical Model of Foraging in a Group of Robots: Effect of Interference. Lerman, K.; and Galstyan, A. Autonomous Robots, 13(2):127--141. 2002.
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Sentiment Prediction using Collaborative Filtering. Kim, J.; Yoo, J.; Lim, H.; Qiu, H.; Kozareva, Z.; and Galstyan, A. In ICWSM'13, 2013.
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Generative Models for Spatial-Temporal Processes with Applications to Predictive Criminology. Cho, Y. S.; Galstyan, A.; Brantingham, J.; and Tita, G. In 9th Bayesian Modeling Applications, UAI'12, 2012.
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Le Chatelier's principle in replicator dynamics. Allahverdyan, A. E.; and Galstyan, A. Phys. Rev. E, 84:041117. Oct 2011.
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Social Mechanics: An Empirically Grounded Science of Social Media. Lerman, K.; Hogg, T.; Galstyan, A.; and Steeg, G. V. In The Future of Social Web workshop, ICWSM-11, 2011.
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Community detection with and without prior information. Allahverdyan, A.; Steeg, G. V.; and Galstyan, A. EPL (Europhysics Letters), 90(1):18002. 2010.
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TENTACLES: Self-configuring robotic radio networks in unknown environments. Chiu, H. C.H.; Ryu, B.; Zhu, H.; Szekely, P. A.; Maheswaran, R. T.; Rogers, C. M.; Galstyan, A.; Salemi, B.; Rubenstein, M.; and Shen, W. In IROS, page 1383-1388, 2009.
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Cascading dynamics in modular networks. Galstyan, A.; and Cohen, P. Phys. Rev. E, 75(3):036109. Mar 2007.
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Identifying Covert Sub-Networks Through Iterative Node Classification. Galstyan, A.; and Cohen, P. R. In Proceedings of First International Conference on Intelligence Analysis, McLean, VA, 2005.
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A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems. Lerman, K.; Martinoli, A.; and Galstyan, A. In E., S.; and W., S., editor, Swarm Robotics Workshop: State-of-the-art Survey, of LNCS, page 143--152. Springer-Verlag, Berlin Heidelberg, 2005.
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Two Paradigms for the Design of Artificial Collectives. Lerman, K.; and Galstyan, A. In Tumer, K.; and Wolpert, D., editor, Collectives and Design of Complex Systems, page 231--256. Springer Verlag, 2004.
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Agent Memory and Adaptation in Multi-Agent Systems. Lerman, K.; and Galstyan, A. In Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2003), Melbourne, Australia, page 797--803, Jul 2003.
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Minority Games and Distributed Coordination in Non-Stationary Environments. Galstyan, A.; and Lerman, K. In Proc. of Int. Joint Conf. on Neural Networks, 2002.
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Statistical Tests for Contagion in Observational Social Network Studies. Steeg, G. V.; and Galstyan, A. In AISTATS'13, 2013.
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Hidden Markov Models for the Activity Profile of Terrorist Groups. Raghavan, V.; Galstyan, A.; and Tartakovsky, A. G. submitted to Annals of Applied Statistics, . 2012.
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Information Transfer in Social Media. Steeg, G. V.; and Galstyan, A. In Workshop on Information in Networks, 2011.
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Co-evolution of Selection and Influence in Social Networks. Cho, Y. S.; Steeg, G. V.; and Galstyan, A. In Proc. of the Twenty-Fifth Conference on Artificial Intelligence (AAAI-11), 2011.
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Towards Modeling Social and Content Dynamics in Discussion Forums. Kim, J.; and Galstyan, A. A. In NAACL Workshop on Computational Linguistics in a World of Social Media, Jun 2010.
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Comparing Diffusion Models for Graph--Based Semi--Supervised Learning. Galstyan, A.; and Cohen, P. R. In 6-th International Workshop on Mining and Learning with Graphs, 2008.
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Empirical Comparison of "Hard" and "Soft" Label Propagation for Relational Classification. Galstyan, A.; and Cohen, P. R. In Proceedings of 17th International Conference Inductive Logic Programming, page 98-111, 2007.
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A Systematic Approach to Composing and Optimizing Application Workflows. Deelman, E.; Galstyan, A.; Gil, Y.; Hall, M.; Lerman, K.; Nakano, A.; Vashista, P.; and Saltz, J. In Proceedings of Workshop on Patterns in High Performance Computing, 2005.
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Analysis of a Stochastic Model of Adaptive Task Allocation in Robots. Galstyan, A.; and Lerman, K. In Breuckner, S.; Serugendo, G. D.M.; Karageorgos, A.; and Nagpal, R., editor, Engineering Self Organizing Systems: Methodology and Applicationsy, of LNAI, page 167, Berlin Heidelberg, 2005. Springer-Verlag.
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Automatically Modeling Group Behavior of Simple Agents. Lerman, K.; and Galstyan, A. In Agent Modeling Workshop, AAMAS-04. 2004.
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Resource Allocation Games with Changing Resource Capacities. Galstyan, A.; Kolar, S.; and Lerman, K. In Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2003), Melbourne, Australia, page 145--152, 2003.
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A Macroscopic Analytical Model of Collaboration in Distributed Robotic Systems. Lerman, K.; Galstyan, A.; Martinoli, A.; and Ijspeert, A. Artificial Life Journal, 7(4):375--393. 2001.
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Latent Point Process Models for Spatial-Temporal Networks. Cho, Y. S.; Galstyan, A.; Brantingham, J.; and Tita, G. arXiv:1302.2671, . 2013.
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Information Transfer in Social Media. Steeg, G. V.; and Galstyan, A. In WWW'12, 2012.
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Comparative Analysis of Viterbi Training and ML Estimation for HMMs. Allahverdyan, A.; and Galstyan, A. In Advances in Neural Information Processing Systems (NIPS), 2011.
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Statistical mechanics of semi-supervised clustering in sparse graphs. Steeg, G. V.; Galstyan, A.; and Allahverdyan, A. E. Journal of Statistical Mechanics: Theory and Experiment, 2011(08):P08009. 2011.
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On Maximum a Posteriori Estimation of Hidden Markov Processes. Allahverdyan, A.; and Galstyan, A. In Proceedings of the 25th International Conference on Uncertainty in Artificial Intelligence, Jun 2009.
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Analysis of Social Voting Patterns on Digg. Lerman, K.; and Galstyan, A. In Proceedings of the 1st ACM SIGCOMM Workshop on Online Social Networks, 2008.
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Relational Classification Through Three--State Epidemic Dynamics. Galstyan, A.; and Cohen, P. R. In The 9th International Conference on Information Fusion, Florence, Italy, 2006.
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Modeling and mathematical analysis of swarms of microscopic robots. Galstyan, A.; Hogg, T.; and Lerman, K. In Proceedings of IEEE Swarm Intelligence Symposium (SIS-2005), Pasadena, CA, jun 2005.
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Resource Allocation in the Grid Using Reinforcement Learning. Galstyan, A.; Czajkowski, K.; and Lerman, K. In Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2004) (poster), New York, NY, page 1314-1315, Jul 2004.
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Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms. Shen, W.; Will, P.; Galstyan, A.; and Chuong, C. Auton. Robots, 17(1):93--105. 2004.
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A Methodology for Mathematical Analysis of Multi-Agent Systems. Lerman, K.; Galstyan, A.; and Hogg, T. unpublished, . 2003.
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A General Methodology for Mathematical Analysis of Multi-Agent Systems. Lerman, K.; and Galstyan, A. Technical Report ISI-TR-529, University of California, Information Sciences Institute, 2001.
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