| Towards Unifying Hamiltonian Monte Carlo and Slice Sampling Y Zhang, X Wang, C Chen, R Henao, L Carin | 941* | 2016 |
| Variational Autoencoder for Deep Learning of Images, Labels and Captions Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens, L Carin | 668 | 2016 |
| Adversarial feature matching for text generation Y Zhang, Z Gan, K Fan, Z Chen, R Henao, D Shen, L Carin International Conference on Machine Learning, 4006-4015, 2017 | 322 | 2017 |
| Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms D Shen, G Wang, W Wang, MR Min, Q Su, Y Zhang, C Li, R Henao, ... arXiv preprint arXiv:1805.09843, 2018 | 311 | 2018 |
| Joint embedding of words and labels for text classification G Wang, C Li, W Wang, Y Zhang, D Shen, X Zhang, R Henao, L Carin arXiv preprint arXiv:1805.04174, 2018 | 304 | 2018 |
| Alice: Towards understanding adversarial learning for joint distribution matching C Li, H Liu, C Chen, Y Pu, L Chen, R Henao, L Carin Advances in neural information processing systems 30, 2017 | 233 | 2017 |
| Host gene expression classifiers diagnose acute respiratory illness etiology EL Tsalik, R Henao, M Nichols, T Burke, ER Ko, MT McClain, LL Hudson, ... Science translational medicine 8 (322), 322ra11-322ra11, 2016 | 196 | 2016 |
| Unsupervised analysis of transcriptomics in bacterial sepsis across multiple datasets reveals three robust clusters TE Sweeney, TD Azad, M Donato, WA Haynes, TM Perumal, R Henao, ... Critical care medicine 46 (6), 915, 2018 | 142 | 2018 |
| A community approach to mortality prediction in sepsis via gene expression analysis TE Sweeney, TM Perumal, R Henao, M Nichols, JA Howrylak, AM Choi, ... Nature communications 9 (1), 1-10, 2018 | 131 | 2018 |
| Learning Deep Sigmoid Belief Networks with Data Augmentation Z Gan, R Henao, D Carlson, L Carin Proceedings of the Eighteenth International Conference on Artificial …, 2015 | 126 | 2015 |
| Learning generic sentence representations using convolutional neural networks Z Gan, Y Pu, R Henao, C Li, X He, L Carin arXiv preprint arXiv:1611.07897, 2016 | 114 | 2016 |
| Deconvolutional paragraph representation learning Y Zhang, D Shen, G Wang, Z Gan, R Henao, L Carin Advances in Neural Information Processing Systems 30, 2017 | 103 | 2017 |
| Adversarial symmetric variational autoencoder Y Pu, W Wang, R Henao, L Chen, Z Gan, C Li, L Carin Advances in neural information processing systems 30, 2017 | 94* | 2017 |
| Scalable Deep Poisson Factor Analysis for Topic Modeling Z Gan, C Chen, R Henao, D Carlson, L Carin Proceedings of The 32nd International Conference on Machine Learning, 2015 | 94 | 2015 |
| Down-regulation of microRNAs controlling tumourigenic factors in follicular thyroid carcinoma M Rossing, R Borup, R Henao, O Winther, J Vikesaa, O Niazi, C Godballe, ... Journal of molecular endocrinology 48 (1), 11, 2012 | 92 | 2012 |
| Deep temporal sigmoid belief networks for sequence modeling Z Gan, C Li, R Henao, DE Carlson, L Carin Advances in Neural Information Processing Systems 28, 2015 | 78 | 2015 |
| Adversarial time-to-event modeling P Chapfuwa, C Tao, C Li, C Page, B Goldstein, LC Duke, R Henao International Conference on Machine Learning, 735-744, 2018 | 77 | 2018 |
| A network of substrates of the E3 ubiquitin ligases MDM2 and HUWE1 control apoptosis independently of p53 M Kurokawa, J Kim, J Geradts, K Matsuura, L Liu, X Ran, W Xia, TJ Ribar, ... Science signaling 6 (274), ra32-ra32, 2013 | 72 | 2013 |
| An Integrated Transcriptome and Expressed Variant Analysis of Sepsis Survival and Death EL Tsalik, RJ Langley, DL Dinwiddie, NA Miller, B Yoo, ... Genome medicine 6 (11), 2014 | 68 | 2014 |
| Deconvolutional latent-variable model for text sequence matching D Shen, Y Zhang, R Henao, Q Su, L Carin Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 66 | 2018 |
Lawrence CarinProvost, King Abdullah University of Science & Technology (KAUST)Verified email at kaust.edu.sa
