Aram Galstyan
Aram Galstyan
University of Southern California, Information Sciences Institute
Verified email at - Homepage
Cited by
Cited by
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
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
The DARPA Twitter bot challenge
VS Subrahmanian, A Azaria, S Durst, V Kagan, A Galstyan, K Lerman, ...
Computer 49 (6), 38-46, 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
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
Mathematical model of foraging in a group of robots: Effect of interference
K Lerman, A Galstyan
Autonomous Robots 13 (2), 127-141, 2002
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
Information Transfer in Social Media
G Ver Steeg, A Galstyan
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
A review of probabilistic macroscopic models for swarm robotic systems
K Lerman, A Martinoli, A Galstyan
Swarm Robotics, 143-152, 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
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
Efficient Estimation of Mutual Information for Strongly Dependent Variables
S Gao, G Ver Steeg, A Galstyan
arXiv preprint arXiv:1411.2003, 2014
Top-down vs bottom-up methodologies in multi-agent system design
V Crespi, A Galstyan, K Lerman
Autonomous Robots 24 (3), 303-313, 2008
Analysis of social voting patterns on digg
K Lerman, A Galstyan
Proceedings of the first workshop on Online social networks, 7-12, 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
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
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
Invariant representations without adversarial training
D Moyer, S Gao, R Brekelmans, GV Steeg, A Galstyan
arXiv preprint arXiv:1805.09458, 2018
Discovering structure in high-dimensional data through correlation explanation
GV Steeg, A Galstyan
arXiv preprint arXiv:1406.1222, 2014
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