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Ricardo Henao
Ricardo Henao
Sonstige NamenRicardo Henao Giraldo
Bestätigte E-Mail-Adresse bei duke.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
Y Zhang, X Wang, C Chen, R Henao, L Carin
1316*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
9962016
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
5322018
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
4662017
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
4442018
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
2822017
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), 915-925, 2018
2742018
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
2562016
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), 694, 2018
2012018
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
1332015
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
1302018
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
1232016
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
119*2017
Deconvolutional paragraph representation learning
Y Zhang, D Shen, G Wang, Z Gan, R Henao, L Carin
Advances in Neural Information Processing Systems 30, 2017
1192017
Wasserstein contrastive representation distillation
L Chen, D Wang, Z Gan, J Liu, R Henao, L Carin
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1132021
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
1092015
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
1042014
Impact of the COVID-19 pandemic on patterns of outpatient cardiovascular care
J Wosik, MEB Clowse, R Overton, B Adagarla, N Economou-Zavlanos, ...
American Heart Journal 231, 1-5, 2021
1002021
Convolutional neural network to identify symptomatic Alzheimer’s disease using multimodal retinal imaging
CE Wisely, D Wang, R Henao, DS Grewal, AC Thompson, CB Robbins, ...
British Journal of Ophthalmology 106 (3), 388-395, 2022
972022
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
972015
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