Aram Galstyan

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Greg Ver SteegResearch Associate Professor, University of Southern California, Information Sciences InstituteVerified email at isi.edu
Kristina LermanUSC Information Sciences InstituteVerified email at isi.edu
Fred MorstatterUniversity of Southern California, Information Sciences InstituteVerified email at usc.edu
Shuyang GaoSenior Applied Scientist, Amazon.com Inc.Verified email at amazon.com
Hrayr HarutyunyanPhD candidate, USC Information Sciences InstituteVerified email at usc.edu
Ninareh MehrabiUniversity of Southern CaliforniaVerified email at usc.edu
Armen AllahverdyanYerevan Physics InstituteVerified email at mail.yerphi.am
Paul R. CohenSchool of Computing and Information University of PittsburghVerified email at pitt.edu
Linhong ZhuFacebook;Information Sciences Institute;I^2R; Nanyang Technological UniversityVerified email at isi.edu
Emilio FerraraUSC & Amazon Alexa AIVerified email at usc.edu
Sami Abu-El-HaijaPhD Student, USCVerified email at usc.edu
Rob BrekelmansUniversity of Southern CaliforniaVerified email at usc.edu
Hrant KhachatrianYerevan State University; YerevaNNVerified email at ysu.am
Nanyun (Violet) PengAssistant Professor, UCLAVerified email at cs.ucla.edu
Sahil GargMachine Learning Research, Morgan StanleyVerified email at morganstanley.com
Alcherio MartinoliAssociate Professor, EPFLVerified email at epfl.ch
Bhaskar KrishnamachariProfessor of Electrical and Computer Engineering, and Computer Science, University of SouthernVerified email at usc.edu
Ardeshir KianercyPost doctoral scholor at Brady Urological Institute, Johns Hopkins HospitalVerified email at usc.edu
Maja J MatarićChan Soon-Shiong Distinguished Prof. of Computer Science, Neuroscience, & Pediatrics, U. of SouthernVerified email at usc.edu
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCVerified email at usc.edu

Aram Galstyan

University of Southern California, Information Sciences Institute

Verified email at isi.edu - Homepage

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A survey on bias and fairness in machine learning N Mehrabi, F Morstatter, N Saxena, K Lerman, A Galstyan ACM Computing Surveys (CSUR) 54 (6), 1-35, 2021	1435	2021
Multitask learning and benchmarking with clinical time series data H Harutyunyan, H Khachatrian, DC Kale, G Ver Steeg, A Galstyan Scientific data 6 (1), 1-18, 2019	510	2019
The DARPA Twitter bot challenge VS Subrahmanian, A Azaria, S Durst, V Kagan, A Galstyan, K Lerman, ... Computer 49 (6), 38-46, 2016	444	2016
Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing S Abu-El-Haija, B Perozzi, A Kapoor, N Alipourfard, K Lerman, ... international conference on machine learning, 21-29, 2019	389	2019
Distributed online localization in sensor networks using a moving target A Galstyan, B Krishnamachari, K Lerman, S Pattem Proceedings of the 3rd international symposium on Information processing in …, 2004	366	2004
Analysis of dynamic task allocation in multi-robot systems K Lerman, C Jones, A Galstyan, MJ Matarić The International Journal of Robotics Research 25 (3), 225-241, 2006	329	2006
Mathematical model of foraging in a group of robots: Effect of interference K Lerman, A Galstyan Autonomous Robots 13 (2), 127-141, 2002	277	2002
Information Transfer in Social Media G Ver Steeg, A Galstyan	255	2011
Hormone-inspired self-organization and distributed control of robotic swarms WM Shen, P Will, A Galstyan, CM Chuong Autonomous Robots 17 (1), 93-105, 2004	253	2004
A review of probabilistic macroscopic models for swarm robotic systems K Lerman, A Martinoli, A Galstyan Swarm Robotics, 143-152, 2005	221	2005
Scalable temporal latent space inference for link prediction in dynamic social networks L Zhu, D Guo, J Yin, G Ver Steeg, A Galstyan IEEE Transactions on Knowledge and Data Engineering 28 (10), 2765-2777, 2016	220	2016
Efficient estimation of mutual information for strongly dependent variables S Gao, G Ver Steeg, A Galstyan Artificial intelligence and statistics, 277-286, 2015	180	2015
A macroscopic analytical model of collaboration in distributed robotic systems K Lerman, A Galstyan, A Martinoli, A Ijspeert Artificial Life 7 (4), 375-393, 2001	178	2001
Top-down vs bottom-up methodologies in multi-agent system design V Crespi, A Galstyan, K Lerman Autonomous Robots 24 (3), 303-313, 2008	157	2008
Analysis of social voting patterns on digg K Lerman, A Galstyan Proceedings of the first workshop on Online social networks, 7-12, 2008	155	2008
Resource allocation in the grid using reinforcement learning A Galstyan, K Czajkowski, K Lerman Proceedings of the Third International Joint Conference on Autonomous Agents …, 2004	153	2004
Predicting online extremism, content adopters, and interaction reciprocity E Ferrara, WQ Wang, O Varol, A Flammini, A Galstyan International conference on social informatics, 22-39, 2016	151	2016
Invariant representations without adversarial training D Moyer, S Gao, R Brekelmans, GV Steeg, A Galstyan Advances in Neural Information Processing Systems (NeurIPS), 2018	148	2018
A general methodology for mathematical analysis of multi-agent systems K Lerman, A Galstyan ISI-TR-529, USC Information Sciences Institute, Marina del Rey, CA, 2001	114	2001
Discovering structure in high-dimensional data through correlation explanation G Ver Steeg, A Galstyan Advances in Neural Information Processing Systems 27, 2014	113	2014

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