Greg Ver Steeg

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Aram GalstyanUSC ISI & Amazon AGIVerified email at isi.edu
Hrayr HarutyunyanResearch Scientist, Google ResearchVerified email at usc.edu
Shuyang GaoSenior Applied Scientist, Amazon.com Inc.Verified email at amazon.com
Daniel MoyerVanderbilt UniversityVerified email at vanderbilt.edu
Kristina LermanUSC Information Sciences InstituteVerified email at isi.edu
Sami Abu-El-HaijaResearch Scientist, Google ResearchVerified email at usc.edu
Kyle ReingGraduate Student, University Of Southern CaliforniaVerified email at usc.edu
Hrant KhachatrianYerevan State University; YerevaNNVerified email at ysu.am
Dave KaleData Science Manager, LiteratiVerified email at literati.com
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCVerified email at usc.edu
Armen AllahverdyanAlikhanyan National Laboratory, department head, group leaderVerified email at mail.yerphi.am
Klaus BartschatProfessor of Physics, Drake UniversityVerified email at drake.edu
Linhong ZhuFacebook;Information Sciences Institute;I^2R; Nanyang Technological UniversityVerified email at isi.edu
Neda JahanshadImaging Genetics Center, Stevens Neuroimaging & Informatics Institute, ENIGMA, Keck, USCVerified email at usc.edu
Christoph AdamiProfessor of Microbiology, Genetics & Immunology, Physics & Astronomy, Michigan State UniversityVerified email at msu.edu
Adam MezherUniversity of Southern CaliforniaVerified email at usc.edu
Boris GutmanAssistant Professor, Department of Biomedical Engineering, Illinois Institute of TechnologyVerified email at iit.edu
Nicolas C MenicucciProfessor of Physics, RMIT UniversityVerified email at rmit.edu.au
Talia M. NirImaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck, USCVerified email at usc.edu
Madelaine DaianuBioengineering, PhDVerified email at ucla.edu

Greg Ver Steeg

Associate Professor, University of California, Riverside

Verified email at ucr.edu - Homepage

machine learning information theory complex systems


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Multitask learning and benchmarking with clinical time series data H Harutyunyan, H Khachatrian, DC Kale, GV Steeg, A Galstyan Nature Scientific Data 6 (96), 2019	984	2019
Mixhop: Higher-order graph convolution architectures via sparsified neighborhood mixing S Abu-El-Haija, B Perozzi, A Kapoor, H Harutyunyan, N Alipourfard, ... International Conference on Machine Learning, 2019	975	2019
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	293	2016
Information Transfer in Social Media G Ver Steeg, A Galstyan World Wide Web Conference, 509-518, 2012	277	2012
Entangling power of an expanding universe G Ver Steeg, NC Menicucci Physical Review D 79 (4), 044027, 2009	263	2009
Invariant representations without adversarial training D Moyer, S Gao, R Brekelmans, G Ver 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 AISTATS, 2015	244	2015
Anchored correlation explanation: Topic modeling with minimal domain knowledge RJ Gallagher, K Reing, D Kale, G Ver Steeg Transactions of the Association for Computational Linguistics 5, 529-542, 2017	218	2017
Discovering Structure in High-Dimensional Data Through Correlation Explanation G Ver Steeg, A Galstyan Advances in Neural Information Processing Systems (NIPS), 2014	136	2014
What Stops Social Epidemics? G Ver Steeg, R Ghosh, K Lerman Proc. 5th Int. Conf. on Weblogs and Social Media, 2011	133	2011
Information-Theoretic Measures of Influence Based on Content Dynamics G Ver Steeg, A Galstyan International Conference on Web Search and Data Mining (WSDM), 2013	115	2013
Identifying and analyzing cryptocurrency manipulations in social media M Mirtaheri, S Abu-El-Haija, F Morstatter, G Ver Steeg, A Galstyan IEEE Transactions on Computational Social Systems 8 (3), 607-617, 2021	107	2021
Scanner invariant representations for diffusion MRI harmonization D Moyer, G Ver Steeg, CMW Tax, PM Thompson Magnetic resonance in medicine 84 (4), 2174-2189, 2020	104	2020
Auto-Encoding Total Correlation Explanation S Gao, R Brekelmans, G Ver Steeg, A Galstyan AI & Statistics (AISTATS), 2019	93	2019
Modeling Temporal Activity Patterns in Dynamic Social Networks V Raghavan, G Ver Steeg, A Galstyan, AG Tartakovsky IEEE TCSS, 2014	81	2014
Maximally Informative Hierarchical Representations of High-Dimensional Data G Ver Steeg, A Galstyan Proceedings of the 18th International Conference on Artificial Intelligence …, 2015	75	2015
MAX 2-SAT with up to 108 qubits S Santra, G Quiroz, G Ver Steeg, D Lidar New Journal of Physics, 2014	71	2014
Improving Generalization by Controlling Label-Noise Information in Neural Network Weights H Harutyunyan, K Reing, G Ver Steeg, A Galstyan International Conference on Machine Learning (ICML), 2020	63	2020
Variational Information Maximization for Feature Selection S Gao, G Ver Steeg, A Galstyan Advances In Neural Information Processing Systems (NIPS), 2016	60	2016
Secure neuroimaging analysis using federated learning with homomorphic encryption D Stripelis, H Saleem, T Ghai, N Dhinagar, U Gupta, C Anastasiou, ... 17th International Symposium on Medical Information Processing and Analysis …, 2021	51	2021

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