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 | 936 | 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 | 902 | 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 | 286 | 2016 |
Information Transfer in Social Media G Ver Steeg, A Galstyan World Wide Web Conference, 509-518, 2012 | 275 | 2012 |
Entangling power of an expanding universe G Ver Steeg, NC Menicucci Physical Review D 79 (4), 044027, 2009 | 259 | 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 | 243 | 2018 |
Efficient Estimation of Mutual Information for Strongly Dependent Variables S Gao, G Ver Steeg, A Galstyan AISTATS, 2015 | 234 | 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 | 203 | 2017 |
Discovering Structure in High-Dimensional Data Through Correlation Explanation G Ver Steeg, A Galstyan Advances in Neural Information Processing Systems (NIPS), 2014 | 135 | 2014 |
What Stops Social Epidemics? G Ver Steeg, R Ghosh, K Lerman Proc. 5th Int. Conf. on Weblogs and Social Media, 2011 | 131 | 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 | 99 | 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 | 93 | 2020 |
Auto-Encoding Total Correlation Explanation S Gao, R Brekelmans, G Ver Steeg, A Galstyan AI & Statistics (AISTATS), 2019 | 91 | 2019 |
Modeling Temporal Activity Patterns in Dynamic Social Networks V Raghavan, G Ver Steeg, A Galstyan, AG Tartakovsky IEEE TCSS, 2014 | 80 | 2014 |
Maximally Informative Hierarchical Representations of High-Dimensional Data G Ver Steeg, A Galstyan Proceedings of the 18th International Conference on Artificial Intelligence …, 2015 | 73 | 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 |
Variational Information Maximization for Feature Selection S Gao, G Ver Steeg, A Galstyan Advances In Neural Information Processing Systems (NIPS), 2016 | 60 | 2016 |
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 | 57 | 2020 |
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 | 46 | 2021 |