| Bayesian compressive sensing S Ji, Y Xue, L Carin IEEE Transactions on signal processing 56 (6), 2346-2356, 2008 | 2762 | 2008 |
| Digital technology and COVID-19 DSW Ting, L Carin, V Dzau, TY Wong Nature medicine 26 (4), 459-461, 2020 | 1693 | 2020 |
| Sparse multinomial logistic regression: Fast algorithms and generalization bounds B Krishnapuram, L Carin, MAT Figueiredo, AJ Hartemink IEEE transactions on pattern analysis and machine intelligence 27 (6), 957-968, 2005 | 1101 | 2005 |
| Variational autoencoder for deep learning of images, labels and captions Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens, L Carin Advances in neural information processing systems 29, 2016 | 950 | 2016 |
| What Makes Good In-Context Examples for GPT-? J Liu, D Shen, Y Zhang, B Dolan, L Carin, W Chen arXiv preprint arXiv:2101.06804, 2021 | 943 | 2021 |
| Multi-Task Learning for Classification with Dirichlet Process Priors. Y Xue, X Liao, L Carin, B Krishnapuram Journal of Machine Learning Research 8 (1), 2007 | 701 | 2007 |
| Multitask compressive sensing S Ji, D Dunson, L Carin IEEE Transactions on Signal Processing 57 (1), 92-106, 2008 | 621 | 2008 |
| Compressive coded aperture spectral imaging: An introduction GR Arce, DJ Brady, L Carin, H Arguello, DS Kittle IEEE Signal Processing Magazine 31 (1), 105-115, 2013 | 562 | 2013 |
| Probabilistic topic models D Blei, L Carin, D Dunson IEEE signal processing magazine 27 (6), 55-65, 2010 | 541 | 2010 |
| Exploiting structure in wavelet-based Bayesian compressive sensing L He, L Carin IEEE Transactions on Signal Processing 57 (9), 3488-3497, 2009 | 535 | 2009 |
| Semantic compositional networks for visual captioning Z Gan, C Gan, X He, Y Pu, K Tran, J Gao, L Carin, L Deng Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 528 | 2017 |
| 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 | 505 | 2018 |
| An integrated clinico-metabolomic model improves prediction of death in sepsis RJ Langley, EL Tsalik, JC Velkinburgh, SW Glickman, BJ Rice, C Wang, ... Science translational medicine 5 (195), 195ra95-195ra95, 2013 | 490 | 2013 |
| Coded aperture compressive temporal imaging P Llull, X Liao, X Yuan, J Yang, D Kittle, L Carin, G Sapiro, DJ Brady Optics express 21 (9), 10526-10545, 2013 | 473 | 2013 |
| Gene expression signatures diagnose influenza and other symptomatic respiratory viral infections in humans AK Zaas, M Chen, J Varkey, T Veldman, AO Hero, J Lucas, Y Huang, ... Cell host & microbe 6 (3), 207-217, 2009 | 446 | 2009 |
| 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 | 445 | 2017 |
| Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images M Zhou, H Chen, J Paisley, L Ren, L Li, Z Xing, D Dunson, G Sapiro, ... IEEE Transactions on Image Processing 21 (1), 130-144, 2011 | 445 | 2011 |
| 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 | 425 | 2018 |
| Cyclical annealing schedule: A simple approach to mitigating kl vanishing H Fu, C Li, X Liu, J Gao, A Celikyilmaz, L Carin arXiv preprint arXiv:1903.10145, 2019 | 395 | 2019 |
| Preconditioned stochastic gradient Langevin dynamics for deep neural networks C Li, C Chen, D Carlson, L Carin Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 379 | 2016 |
Ricardo HenaoDuke University在 duke.edu 的电子邮件经过验证
