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Ricardo Henao
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- affiliation: King Abdullah University of Science and Technology (KAUST), Saudi Arabia
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2020 – today
- 2024
- [j19]Nicoleta J. Economou-Zavlanos
, Sophia Bessias, Michael P. Cary, Armando Bedoya
, Benjamin Goldstein, John Eric Jelovsek
, Cara O'Brien, Nancy Walden, Matthew Elmore, Amanda B. Parrish, Scott Elengold, Kay S. Lytle
, Suresh Balu, Michael E. Lipkin, Afreen Idris Shariff, Michael Gao, David Leverenz, Ricardo Henao, David Y. Ming, David M. Gallagher, Michael J. Pencina, Eric G. Poon
:
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare. J. Am. Medical Informatics Assoc. 31(3): 705-713 (2024) - [j18]Chuan Hong
, Molei Liu
, Daniel Wojdyla, Jimmy Hickey
, Michael J. Pencina, Ricardo Henao
:
Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance. J. Biomed. Informatics 149: 104532 (2024) - [j17]Hao Zhang
, Yulai Cong
, Zhengjue Wang
, Lei Zhang, Miaoyun Zhao, Liqun Chen, Shijing Si, Ricardo Henao
, Lawrence Carin:
Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6558-6569 (2024) - [c82]Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew Engelhard:
Adaptive Discretization for Event PredicTion (ADEPT). AISTATS 2024: 1351-1359 - [i57]Yuetan Chu, Gongning Luo, Longxi Zhou, Shaodong Cao, Guolin Ma, Xianglin Meng, Juexiao Zhou, Changchun Yang, Dexuan Xie, Ricardo Henao, Xigang Xiao, Lianming Wu, Zhaowen Qiu, Xin Gao:
Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy. CoRR abs/2404.07671 (2024) - [i56]Aaron T. Wang, Ricardo Henao, Lawrence Carin:
Transformer In-Context Learning for Categorical Data. CoRR abs/2405.17248 (2024) - [i55]Mohd Ashhad, Ricardo Henao:
Conditioning on Time is All You Need for Synthetic Survival Data Generation. CoRR abs/2405.17333 (2024) - 2023
- [j16]Junya Chen, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, Geraldine Dawson
:
Enhancing early autism prediction based on electronic records using clinical narratives. J. Biomed. Informatics 144: 104390 (2023) - [j15]Meng Xia, Ricardo Henao:
Reliable Active Learning via Influence Functions. Trans. Mach. Learn. Res. 2023 (2023) - [j14]Paidamoyo Chapfuwa
, Chenyang Tao
, Chunyuan Li, Irfan Khan
, Karen Chandross
, Michael J. Pencina, Lawrence Carin, Ricardo Henao
:
Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1666-1680 (2023) - [j13]Hao Zhang
, Chaojie Wang
, Zhengjue Wang
, Zhibin Duan, Bo Chen
, Mingyuan Zhou, Ricardo Henao
, Lawrence Carin:
Learning Hierarchical Document Graphs From Multilevel Sentence Relations. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4273-4285 (2023) - [c81]Junda Wu
, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao:
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. AAAI 2023: 4729-4737 - [c80]Rui Wang, Tong Yu, Junda Wu
, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao:
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. ACL (Findings) 2023: 7449-7463 - [c79]Ke Bai, Pengyu Cheng, Weituo Hao, Ricardo Henao, Larry Carin:
Estimating Total Correlation with Mutual Information Estimators. AISTATS 2023: 2147-2164 - [c78]Rui Wang, Pengyu Cheng, Ricardo Henao:
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling. AISTATS 2023: 4473-4485 - [c77]Shiang Qi
, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner:
An Effective Meaningful Way to Evaluate Survival Models. ICML 2023: 28244-28276 - [c76]Fanjie Kong
, Yuan Li
, Houssam Nassif
, Tanner Fiez
, Ricardo Henao
, Shreya Chakrabarti
:
Neural Insights for Digital Marketing Content Design. KDD 2023: 4320-4332 - [c75]Yamac Alican Isik, Paidamoyo Chapfuwa, Connor Davis, Ricardo Henao:
Hawkes Process with Flexible Triggering Kernels. MLHC 2023: 308-320 - [c74]Fanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao:
Mitigating Test-Time Bias for Fair Image Retrieval. NeurIPS 2023 - [c73]Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao:
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. NeurIPS 2023 - [c72]Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin:
Pushing the Efficiency Limit Using Structured Sparse Convolutions. WACV 2023: 6492-6502 - [i54]Fanjie Kong, Yuan Li, Tanner Fiez, Shreya Chakrabarti, Ricardo Henao, Houssam Nassif:
Neural Insights for Digital Marketing Content Design. CoRR abs/2302.01416 (2023) - [i53]Rui Wang, Pengyu Cheng, Ricardo Henao:
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling. CoRR abs/2302.13136 (2023) - [i52]Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin:
Open World Classification with Adaptive Negative Samples. CoRR abs/2303.05581 (2023) - [i51]Fanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao:
Mitigating Test-Time Bias for Fair Image Retrieval. CoRR abs/2305.19329 (2023) - [i50]Shiang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner:
An Effective Meaningful Way to Evaluate Survival Models. CoRR abs/2306.01196 (2023) - [i49]Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao:
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. CoRR abs/2306.04933 (2023) - [i48]Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew M. Engelhard:
Improving Event Time Prediction by Learning to Partition the Event Time Space. CoRR abs/2310.15853 (2023) - 2022
- [j12]Rui Wang, Ruiyi Zhang, Ricardo Henao:
Wasserstein Uncertainty Estimation for Adversarial Domain Matching. Frontiers Big Data 5: 878716 (2022) - [j11]Zhenhui Xu, Congwen Zhao, Charles D. Scales, Ricardo Henao, Benjamin Alan Goldstein:
Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data. BMC Medical Informatics Decis. Mak. 22(1): 110 (2022) - [j10]Tianqi Yang
, Ricardo Henao
:
TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile. PLoS Comput. Biol. 18(9): 1009921 (2022) - [c71]Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao:
Few-Shot Class-Incremental Learning for Named Entity Recognition. ACL (1) 2022: 571-582 - [c70]Matthew Engelhard, Ricardo Henao:
Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data. AISTATS 2022: 9571-9581 - [c69]Fanjie Kong, Ricardo Henao:
Efficient Classification of Very Large Images with Tiny Objects. CVPR 2022: 2374-2384 - [c68]Junda Wu
, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova:
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. EMNLP (Findings) 2022: 3436-3448 - [c67]Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin:
Open World Classification with Adaptive Negative Samples. EMNLP 2022: 4378-4392 - [c66]Rui Wang, Ricardo Henao:
Wasserstein Cross-Lingual Alignment For Named Entity Recognition. ICASSP 2022: 8342-8346 - [c65]Qitong Gao, Dong Wang, Joshua David Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic:
Gradient Importance Learning for Incomplete Observations. ICLR 2022 - [c64]Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao:
Capturing actionable dynamics with structured latent ordinary differential equations. UAI 2022: 286-295 - [i47]Yamac Alican Isik, Connor Davis, Paidamoyo Chapfuwa, Ricardo Henao:
Flexible Triggering Kernels for Hawkes Process Modeling. CoRR abs/2202.01869 (2022) - [i46]Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao:
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations. CoRR abs/2202.12932 (2022) - [i45]Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin:
Collaborative Anomaly Detection. CoRR abs/2209.09923 (2022) - [i44]Sijia Wang, Yoojin Choi, Junya Chen, Mostafa El-Khamy
, Ricardo Henao:
Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks. CoRR abs/2210.05751 (2022) - [i43]Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin:
Pushing the Efficiency Limit Using Structured Sparse Convolutions. CoRR abs/2210.12818 (2022) - 2021
- [j9]David Dov, Shahar Z. Kovalsky, Serge Assaad, Jonathan Cohen, Danielle Elliott Range, Avani A. Pendse, Ricardo Henao, Lawrence Carin:
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images. Medical Image Anal. 67: 101814 (2021) - [j8]Rachel Lea Draelos
, David Dov, Maciej A. Mazurowski, Joseph Y. Lo
, Ricardo Henao, Geoffrey D. Rubin
, Lawrence Carin:
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Medical Image Anal. 67: 101857 (2021) - [j7]Xichen She
, Yaya Zhai, Ricardo Henao
, Christopher W. Woods, Christopher Chiu, Geoffrey S. Ginsburg
, Peter X. K. Song
, Alfred O. Hero III
:
Adaptive Multi-Channel Event Segmentation and Feature Extraction for Monitoring Health Outcomes. IEEE Trans. Biomed. Eng. 68(8): 2377-2388 (2021) - [c63]Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao:
Variational Disentanglement for Rare Event Modeling. AAAI 2021: 10469-10477 - [c62]Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin:
Counterfactual Representation Learning with Balancing Weights. AISTATS 2021: 1972-1980 - [c61]David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky
, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin:
Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. CHIL 2021: 14-24 - [c60]Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao:
Enabling counterfactual survival analysis with balanced representations. CHIL 2021: 133-145 - [c59]Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin:
Wasserstein Contrastive Representation Distillation. CVPR 2021: 16296-16305 - [c58]Rui Wang, Ricardo Henao:
Unsupervised Paraphrasing Consistency Training for Low Resource Named Entity Recognition. EMNLP (1) 2021: 5303-5308 - [c57]Vivek Subramanian, Matthew Engelhard, Samuel Berchuck, Liqun Chen, Ricardo Henao, Lawrence Carin:
SpanPredict: Extraction of Predictive Document Spans with Neural Attention. NAACL-HLT 2021: 5234-5258 - [c56]Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao:
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. NeurIPS 2021: 21229-21243 - [i42]Fanjie Kong, Xiao-Yang Liu, Ricardo Henao:
Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification. CoRR abs/2101.03154 (2021) - [i41]Meng Xia, Meenal K. Kheterpal, Samantha C. Wong, Christine Park, William Ratliff, Lawrence Carin, Ricardo Henao:
Malignancy Prediction and Lesion Identification from Clinical Dermatological Images. CoRR abs/2104.02652 (2021) - [i40]Fanjie Kong, Ricardo Henao:
Efficient Classification of Very Large Images with Tiny Objects. CoRR abs/2106.02694 (2021) - [i39]Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic:
Imputation-Free Learning from Incomplete Observations. CoRR abs/2107.01983 (2021) - 2020
- [c55]Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin:
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. AAAI 2020: 7512-7520 - [c54]Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin:
Advancing weakly supervised cross-domain alignment with optimal transport. BMVC 2020 - [c53]Zidi Xiu, Chenyang Tao
, Ricardo Henao:
Variational learning of individual survival distributions. CHIL 2020: 10-18 - [c52]Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin
, Ricardo Henao:
Survival cluster analysis. CHIL 2020: 60-68 - [c51]Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao:
Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning. EMNLP (Findings) 2020: 3181-3186 - [c50]Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin:
Learning Autoencoders with Relational Regularization. ICML 2020: 10576-10586 - [c49]Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao:
Neural Conditional Event Time Models. MLHC 2020: 223-244 - [i38]Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin:
Learning Autoencoders with Relational Regularization. CoRR abs/2002.02913 (2020) - [i37]Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin:
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes. CoRR abs/2002.04752 (2020) - [i36]Paidamoyo Chapfuwa
, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao:
Survival Cluster Analysis. CoRR abs/2003.00355 (2020) - [i35]Zidi Xiu, Chenyang Tao, Ricardo Henao:
Variational Learning of Individual Survival Distributions. CoRR abs/2003.04430 (2020) - [i34]Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao:
Neural Conditional Event Time Models. CoRR abs/2004.01376 (2020) - [i33]Paidamoyo Chapfuwa
, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao:
Survival Analysis meets Counterfactual Inference. CoRR abs/2006.07756 (2020) - [i32]Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin:
Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage. CoRR abs/2006.11991 (2020) - [i31]Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin:
Weakly supervised cross-domain alignment with optimal transport. CoRR abs/2008.06597 (2020) - [i30]Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao:
Variational Disentanglement for Rare Event Modeling. CoRR abs/2009.08541 (2020) - [i29]Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin:
Counterfactual Representation Learning with Balancing Weights. CoRR abs/2010.12618 (2020) - [i28]Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao:
Supercharging Imbalanced Data Learning With Causal Representation Transfer. CoRR abs/2011.12454 (2020) - [i27]Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin:
Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models. CoRR abs/2012.03369 (2020) - [i26]Liqun Chen, Zhe Gan, Dong Wang, Jingjing Liu, Ricardo Henao, Lawrence Carin:
Wasserstein Contrastive Representation Distillation. CoRR abs/2012.08674 (2020)
2010 – 2019
- 2019
- [c48]Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin:
Communication-Efficient Stochastic Gradient MCMC for Neural Networks. AAAI 2019: 4173-4180 - [c47]Matias Benitez, James Tian, Mark Kelly, Vignesh Selvakumaran
, Matthew Phelan, Maciej A. Mazurowski, Joseph Y. Lo, Geoffrey D. Rubin
, Ricardo Henao
:
Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports. Medical Imaging: Computer-Aided Diagnosis 2019: 109500V - [c46]Songyue Han, James Tian, Mark Kelly, Vignesh Selvakumaran
, Ricardo Henao
, Geoffrey D. Rubin
, Joseph Y. Lo:
Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models. Medical Imaging: Computer-Aided Diagnosis 2019: 109504H - [c45]David Dov, Shahar Z. Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin:
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. MLHC 2019: 553-570 - [c44]Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin:
Improving Textual Network Learning with Variational Homophilic Embeddings. NeurIPS 2019: 2074-2085 - [c43]Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin:
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. NeurIPS 2019: 3387-3398 - [i25]David Dov, Shahar Ziv Kovalsky, Jonathan Cohen, Danielle Range, Ricardo Henao, Lawrence Carin:
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. CoRR abs/1904.00839 (2019) - [i24]David Dov, Shahar Ziv Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin:
A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images. CoRR abs/1904.12739 (2019) - [i23]Paidamoyo Chapfuwa, Chenyang Tao, Lawrence Carin, Ricardo Henao:
Survival Function Matching for Calibrated Time-to-Event Predictions. CoRR abs/1905.08838 (2019) - [i22]Rui Wang, Guoyin Wang, Ricardo Henao:
Discriminative Clustering for Robust Unsupervised Domain Adaptation. CoRR abs/1905.13331 (2019) - [i21]Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin:
Improving Textual Network Learning with Variational Homophilic Embeddings. CoRR abs/1909.13456 (2019) - [i20]Pengyu Cheng
, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin:
Straight-Through Estimator as Projected Wasserstein Gradient Flow. CoRR abs/1910.02176 (2019) - [i19]Kevin J. Liang
, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin:
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. CoRR abs/1910.04233 (2019) - 2018
- [c42]Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin:
Deconvolutional Latent-Variable Model for Text Sequence Matching. AAAI 2018: 5438-5445 - [c41]Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
:
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. ACL (1) 2018: 440-450 - [c40]Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin
:
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. ACL (1) 2018: 2041-2050 - [c39]Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
:
Joint Embedding of Words and Labels for Text Classification. ACL (1) 2018: 2321-2331 - [c38]Shelley A. Rusincovitch, Lisa Wruck, Ricardo Henao, Larisa Rodgers, Allison Dunning, Peter Merrill, Hillary Mulder, Robert Overton, Matthew Phelan, Erich Huang, Lawrence Carin, Michael J. Pencina:
The Duke Health Data Science Internship Program: Integrating the Educational Mission into Real-World Research. AMIA 2018 - [c37]Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin:
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. EMNLP 2018: 1829-1838 - [c36]Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao:
Adversarial Time-to-Event Modeling. ICML 2018: 734-743 - [c35]Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin:
Variational Inference and Model Selection with Generalized Evidence Bounds. ICML 2018: 892-901 - [c34]Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin:
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. ICML 2018: 4148-4157 - [c33]Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin:
Chi-square Generative Adversarial Network. ICML 2018: 4894-4903 - [c32]Xinyuan Zhang, Ricardo Henao, Zhe Gan, Yitong Li, Lawrence Carin:
Multi-Label Learning from Medical Plain Text with Convolutional Residual Models. MLHC 2018: 280-294 - [i18]Xinyuan Zhang, Ricardo Henao, Zhe Gan, Yitong Li, Lawrence Carin:
Multi-Label Learning from Medical Plain Text with Convolutional Residual Models. CoRR abs/1801.05062 (2018) - [i17]Paidamoyo Chapfuwa
, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao:
Adversarial Time-to-Event Modeling. CoRR abs/1804.03184 (2018) - [i16]Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin:
Joint Embedding of Words and Labels for Text Classification. CoRR abs/1805.04174 (2018) - [i15]Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa
, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao:
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. CoRR abs/1805.05361 (2018) - [i14]Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin:
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. CoRR abs/1805.09843 (2018) - [i13]Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin:
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. CoRR abs/1806.02978 (2018) - [i12]Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin:
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. CoRR abs/1808.09633 (2018) - 2017
- [j6]Ditte Høvenhoff Hald, Ricardo Henao
, Ole Winther
:
Gaussian process based independent analysis for temporal source separation in fMRI. NeuroImage 152: 563-574 (2017) - [c31]Eugenie Komives, Shelley A. Rusincovitch, John Paat, Lawrence Carin, Daniel Costello, Michael Gao, Bradley G. Hammill, Ricardo Henao, Nigel B. Neely, Ursula Rogers, Devdutta Sangvai, Mary Schilder, Erich Huang:
Guiding Principles for the Duke Connected Care Predictive Modeling Pilot. AMIA 2017 - [c30]Shelley A. Rusincovitch, Ricardo Henao, Michael Gao, Lawrence Carin, Ursula Rogers, Nigel B. Neely, Mary Schilder, Daniel Costello, Eugenie Komives, Erich Huang:
Rationale and Design for the Duke Connected Care Predictive Modeling Pilot with a Medicare Shared Savings Program Population. AMIA 2017 - [c29]Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin
:
Learning Generic Sentence Representations Using Convolutional Neural Networks. EMNLP 2017: 2390-2400 - [c28]Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin:
Stochastic Gradient Monomial Gamma Sampler. ICML 2017: 3996-4005 - [c27]Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin:
Adversarial Feature Matching for Text Generation. ICML 2017: 4006-4015 - [c26]Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin:
Deconvolutional Paragraph Representation Learning. NIPS 2017: 4169-4179 - [c25]Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin:
VAE Learning via Stein Variational Gradient Descent. NIPS 2017: 4236-4245 - [c24]Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin:
Adversarial Symmetric Variational Autoencoder. NIPS 2017: 4330-4339 - [c23]Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin:
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching. NIPS 2017: 5495-5503 - [i11]Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin:
Stein Variational Autoencoder. CoRR abs/1704.05155 (2017) - [i10]Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin:
Stochastic Gradient Monomial Gamma Sampler. CoRR abs/1706.01498 (2017) - [i9]Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin:
Adversarial Feature Matching for Text Generation. CoRR abs/1706.03850 (2017) - [i8]Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin:
Deconvolutional Paragraph Representation Learning. CoRR abs/1708.04729 (2017) - [i7]Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin:
Towards Understanding Adversarial Learning for Joint Distribution Matching. CoRR abs/1709.01215 (2017) - [i6]Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin:
Deconvolutional Latent-Variable Model for Text Sequence Matching. CoRR abs/1709.07109 (2017) - [i5]Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin:
Adversarial Symmetric Variational Autoencoder. CoRR abs/1711.04915 (2017) - 2016
- [j5]Ricardo Henao, James Lu, Joseph E. Lucas, Jeffrey M. Ferranti, Lawrence Carin:
Electronic Health Record Analysis via Deep Poisson Factor Models. J. Mach. Learn. Res. 17: 186:1-186:32 (2016) - [c22]Yizhe Zhang, Ricardo Henao, Lawrence Carin, Jianling Zhong, Alexander J. Hartemink:
Learning a Hybrid Architecture for Sequence Regression and Annotation. AAAI 2016: 1415-1421 - [c21]Zhao Song, Ricardo Henao, David E. Carlson, Lawrence Carin:
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization. AISTATS 2016: 1347-1355 - [c20]Kai Fan, Yizhe Zhang, Ricardo Henao, Katherine A. Heller:
Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis. ICDM 2016: 121-130 - [c19]Yizhe Zhang, Yue Zhao, Lawrence David, Ricardo Henao, Lawrence Carin:
Dynamic Poisson Factor Analysis. ICDM 2016: 1359-1364 - [c18]Yizhe Zhang, Ricardo Henao, Chunyuan Li, Lawrence Carin:
Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks. IJCAI 2016: 2364-2370 - [c17]Yizhe Zhang, Xiangyu Wang, Changyou Chen, Ricardo Henao, Kai Fan, Lawrence Carin:
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling. NIPS 2016: 1741-1749 - [c16]Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin:
Variational Autoencoder for Deep Learning of Images, Labels and Captions. NIPS 2016: 2352-2360 - [c15]Yizhe Zhang, Changyou Chen, Ricardo Henao
, Lawrence Carin
:
Laplacian Hamiltonian Monte Carlo. ECML/PKDD (1) 2016: 98-114 - [p1]Zhe Gan, Xin Yuan, Ricardo Henao
, Ephraim L. Tsalik, Lawrence Carin:
Inference of gene networks associated with the host response to infectious disease. Big Data over Networks 2016: 365-390 - [i4]Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin:
Variational Autoencoder for Deep Learning of Images, Labels and Captions. CoRR abs/1609.08976 (2016) - [i3]Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin:
Unsupervised Learning of Sentence Representations using Convolutional Neural Networks. CoRR abs/1611.07897 (2016) - 2015
- [c14]Zhe Gan, Ricardo Henao, David E. Carlson, Lawrence Carin:
Learning Deep Sigmoid Belief Networks with Data Augmentation. AISTATS 2015 - [c13]Xin Yuan, Ricardo Henao, Ephraim Tsalik, Raymond Langley, Lawrence Carin:
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood. ICML 2015: 1254-1263 - [c12]Zhe Gan, Changyou Chen, Ricardo Henao, David E. Carlson, Lawrence Carin:
Scalable Deep Poisson Factor Analysis for Topic Modeling. ICML 2015: 1823-1832 - [c11]Wenzhao Lian, Ricardo Henao, Vinayak A. Rao, Joseph E. Lucas, Lawrence Carin:
A Multitask Point Process Predictive Model. ICML 2015: 2030-2038 - [c10]Zhe Gan, Chunyuan Li, Ricardo Henao, David E. Carlson, Lawrence Carin:
Deep Temporal Sigmoid Belief Networks for Sequence Modeling. NIPS 2015: 2467-2475 - [c9]Ricardo Henao, Zhe Gan, James Lu, Lawrence Carin:
Deep Poisson Factor Modeling. NIPS 2015: 2800-2808 - [c8]Piyush Rai, Changwei Hu, Ricardo Henao, Lawrence Carin:
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings. NIPS 2015: 3222-3230 - [i2]Zhe Gan, Chunyuan Li, Ricardo Henao, David E. Carlson, Lawrence Carin:
Deep Temporal Sigmoid Belief Networks for Sequence Modeling. CoRR abs/1509.07087 (2015) - 2014
- [c7]Ricardo Henao, Xin Yuan, Lawrence Carin:
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling. NIPS 2014: 1754-1762 - 2013
- [j4]Ashlee M. Benjamin, J. Will Thompson, Erik J. Soderblom, Scott J. Geromanos, Ricardo Henao
, Virginia B. Kraus, M. Arthur Moseley, Joseph E. Lucas:
A flexible statistical model for alignment of label-free proteomics data - incorporating ion mobility and product ion information. BMC Bioinform. 14: 364 (2013) - [c6]Ricardo Henao, Jared Murray, Geoffrey S. Ginsburg, Lawrence Carin, Joseph E. Lucas:
Patient Clustering with Uncoded Text in Electronic Medical Records. AMIA 2013 - 2012
- [j3]Ricardo Henao
, Ole Winther
:
Predictive active set selection methods for Gaussian processes. Neurocomputing 80: 10-18 (2012) - [j2]Lawrence Carin
, Alfred O. Hero III, Joseph E. Lucas, David B. Dunson, Minhua Chen, Ricardo Henao
, Arnau Tibau Puig, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg:
High Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections. IEEE Signal Process. Mag. 29(1): 108-123 (2012) - [c5]Ricardo Henao
, J. Will Thompson, M. Arthur Moseley, Geoffrey S. Ginsburg, Lawrence Carin
, Joseph E. Lucas:
Hierarchical factor modeling of proteomics data. ICCABS 2012: 1-6 - 2011
- [j1]Ricardo Henao, Ole Winther:
Sparse Linear Identifiable Multivariate Modeling. J. Mach. Learn. Res. 12: 863-905 (2011) - 2010
- [i1]Christian Walder, Ricardo Henao, Morten Mørup, Lars Kai Hansen:
Semi-Supervised Kernel PCA. CoRR abs/1008.1398 (2010)
2000 – 2009
- 2009
- [c4]Ricardo Henao, Ole Winther:
Bayesian Sparse Factor Models and DAGs Inference and Comparison. NIPS 2009: 736-744 - 2006
- [c3]Mauricio A. Álvarez
, Ricardo Henao
, Germán Castellanos-Domínguez, Juan Ignacio Godino-Llorente
, Álvaro Ángel Orozco:
Kernel Principal Component Analysis through Time for Voice Disorder Classification. EMBC 2006: 5511-5514 - [c2]Mauricio A. Álvarez, Ricardo Henao:
Probabilistic Kernel Principal Component Analysis Through Time. ICONIP (1) 2006: 747-754 - 2004
- [c1]Carlos Lino Rengifo, Diego Andrés Alvarez, Ricardo Henao, Germán Castellanos, Jorge Eduardo Hurtado:
Active learning on the classification of voice pathologies. Odyssey 2004: 271-274
Coauthor Index
aka: Benjamin Alan Goldstein
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