Greg Ver Steeg

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

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Greg Ver Steeg

Associate Professor, University of California, Riverside

Email verificata su ucr.edu - Home page

machine learning information theory complex systems


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	1082	2019
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	1066	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	302	2016
Information Transfer in Social Media G Ver Steeg, A Galstyan World Wide Web Conference, 509-518, 2012	282	2012
Entangling power of an expanding universe G Ver Steeg, NC Menicucci Physical Review D 79 (4), 044027, 2009	266	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	264	2018
Efficient Estimation of Mutual Information for Strongly Dependent Variables S Gao, G Ver Steeg, A Galstyan AISTATS, 2015	254	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	240	2017
Discovering Structure in High-Dimensional Data Through Correlation Explanation G Ver Steeg, A Galstyan Advances in Neural Information Processing Systems (NIPS), 2014	142	2014
What Stops Social Epidemics? G Ver Steeg, R Ghosh, K Lerman Proc. 5th Int. Conf. on Weblogs and Social Media, 2011	133	2011
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	117	2021
Information-Theoretic Measures of Influence Based on Content Dynamics G Ver Steeg, A Galstyan International Conference on Web Search and Data Mining (WSDM), 2013	116	2013
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	111	2020
Auto-Encoding Total Correlation Explanation S Gao, R Brekelmans, G Ver Steeg, A Galstyan AI & Statistics (AISTATS), 2019	96	2019
Modeling Temporal Activity Patterns in Dynamic Social Networks V Raghavan, G Ver Steeg, A Galstyan, AG Tartakovsky IEEE TCSS, 2014	89	2014
Maximally Informative Hierarchical Representations of High-Dimensional Data G Ver Steeg, A Galstyan Proceedings of the 18th International Conference on Artificial Intelligence …, 2015	82	2015
MAX 2-SAT with up to 108 qubits S Santra, G Quiroz, G Ver Steeg, D Lidar New Journal of Physics, 2014	73	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	64	2020
Variational Information Maximization for Feature Selection S Gao, G Ver Steeg, A Galstyan Advances In Neural Information Processing Systems (NIPS), 2016	64	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	56	2021

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