Aram Galstyan

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Greg Ver SteegAssociate Professor, University of California, RiversideVerified email at ucr.edu
Kristina LermanUSC Information Sciences InstituteVerified email at isi.edu
Fred MorstatterUniversity of Southern California, Information Sciences InstituteVerified email at usc.edu
Ninareh MehrabiAmazon AGIVerified email at usc.edu
Hrayr HarutyunyanResearch Scientist, Google ResearchVerified email at usc.edu
Shuyang GaoSenior Applied Scientist, Amazon.com Inc.Verified email at amazon.com
Armen AllahverdyanAlikhanyan National Laboratory, department head, group leaderVerified 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
Sami Abu-El-HaijaResearch Scientist, Google ResearchVerified email at usc.edu
Emilio FerraraProfessor of Computer Science at the University of Southern CaliforniaVerified email at usc.edu
Nanyun (Violet) PengAssociate Professor, UCLAVerified email at cs.ucla.edu
Hrant KhachatrianYerevan State University; YerevaNNVerified email at ysu.am
Sahil GargAverlonVerified email at averlon.io
Pedro SzekelyPrincipal Applied Scientist at Amazon AlexaVerified email at amazon.com
Ardeshir KianercyPost doctoral scholor at Brady Urological Institute, Johns Hopkins HospitalVerified email at usc.edu
Alcherio MartinoliAssociate Professor, EPFLVerified email at epfl.ch
Bhaskar KrishnamachariProfessor of Electrical and Computer Engineering, and Computer Science, USCVerified email at usc.edu
Maja J MatarićChan Soon-Shiong Distinguished Prof. of Computer Science, Neuroscience, & Pediatrics, U. of SouthernVerified email at usc.edu
Neda JahanshadImaging Genetics Center, Stevens Neuroimaging & Informatics Institute, ENIGMA, Keck, USCVerified email at usc.edu

Aram Galstyan

USC ISI & Amazon AGI

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	4786	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), 96, 2019	973	2019
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	970	2019
The DARPA Twitter bot challenge VS Subrahmanian, A Azaria, S Durst, V Kagan, A Galstyan, K Lerman, ... Computer 49 (6), 38-46, 2016	567	2016
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	372	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	363	2006
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	299	2016
Mathematical model of foraging in a group of robots: Effect of interference K Lerman, A Galstyan Autonomous Robots 13 (2), 127-141, 2002	296	2002
Information Transfer in Social Media G Ver Steeg, A Galstyan WWW 2012, 2011	277	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	268	2004
Invariant representations without adversarial training D Moyer, S Gao, R Brekelmans, GV Steeg, A Galstyan Advances in Neural Information Processing Systems (NeurIPS), 2018	253	2018
Efficient estimation of mutual information for strongly dependent variables S Gao, G Ver Steeg, A Galstyan Artificial intelligence and statistics, 277-286, 2015	243	2015
A review of probabilistic macroscopic models for swarm robotic systems K Lerman, A Martinoli, A Galstyan Swarm Robotics, 143-152, 2005	233	2005
Predicting online extremism, content adopters, and interaction reciprocity E Ferrara, WQ Wang, O Varol, A Flammini, A Galstyan Social Informatics: 8th International Conference, SocInfo 2016, Bellevue, WA …, 2016	200	2016
Top-down vs bottom-up methodologies in multi-agent system design V Crespi, A Galstyan, K Lerman Autonomous Robots 24, 303-313, 2008	189	2008
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	186	2001
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	171	2004
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
Opinion dynamics with confirmation bias AE Allahverdyan, A Galstyan PloS one 9 (7), e99557, 2014	153	2014
Stacking models for nearly optimal link prediction in complex networks A Ghasemian, H Hosseinmardi, A Galstyan, EM Airoldi, A Clauset Proceedings of the National Academy of Sciences 117 (38), 23393-23400, 2020	152	2020

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