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Ricardo Henao
Ricardo Henao
Bestätigte E-Mail-Adresse bei duke.edu
Titel
Zitiert von
Zitiert von
Jahr
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
Y Zhang, X Wang, C Chen, R Henao, L Carin
907*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
6482016
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
3112017
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
3012018
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
2912018
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
2302017
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
1932016
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
1352018
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
1242015
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
1232018
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
1102016
Deconvolutional paragraph representation learning
Y Zhang, D Shen, G Wang, Z Gan, R Henao, L Carin
Advances in Neural Information Processing Systems 30, 2017
1002017
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
932015
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
892012
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
772015
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
742018
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
682013
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
642018
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
642014
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