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Ricardo Henao
Ricardo Henao
duke.edu의 이메일 확인됨
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Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
Y Zhang, X Wang, C Chen, R Henao, L Carin
891*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
6332016
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
3092017
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
2982018
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
2902018
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
2192017
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
1892016
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
1332018
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
1242018
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
1192015
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
1062016
Deconvolutional paragraph representation learning
Y Zhang, D Shen, G Wang, Z Gan, R Henao, L Carin
Advances in Neural Information Processing Systems 30, 2017
992017
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
912015
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
702018
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
672013
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
632014
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
622018
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학술자료 1–20