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Lawrence Carin
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- affiliation: Duke University, Durham, USA
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2020 – today
- 2024
- [j125]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) - [c307]Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin:
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. WACV 2024: 2709-2719 - [i175]Aaron T. Wang, Ricardo Henao, Lawrence Carin:
Transformer In-Context Learning for Categorical Data. CoRR abs/2405.17248 (2024) - 2023
- [j124]Hongteng Xu
, Jiachang Liu
, Dixin Luo
, Lawrence Carin:
Representing Graphs via Gromov-Wasserstein Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 999-1016 (2023) - [j123]Dixin Luo
, Hongteng Xu
, Lawrence Carin:
Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7293-7307 (2023) - [j122]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) - [j121]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) - [c306]Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin:
Pushing the Efficiency Limit Using Structured Sparse Convolutions. WACV 2023: 6492-6502 - [i174]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) - [i173]Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin:
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. CoRR abs/2312.01167 (2023) - 2022
- [j120]Weituo Hao
, Nikhil Mehta, Kevin J. Liang
, Pengyu Cheng, Mostafa El-Khamy
, Lawrence Carin:
WAFFLe: Weight Anonymized Factorization for Federated Learning. IEEE Access 10: 49207-49218 (2022) - [j119]Rachel Lea Draelos
, Lawrence Carin:
Explainable multiple abnormality classification of chest CT volumes. Artif. Intell. Medicine 132: 102372 (2022) - [j118]Xunlin Zhan
, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin:
elBERto: Self-supervised commonsense learning for question answering. Knowl. Based Syst. 258: 109964 (2022) - [j117]Longxi Zhou
, Xianglin Meng
, Yuxin Huang, Kai Kang, Juexiao Zhou
, Yuetan Chu, Haoyang Li, Dexuan Xie, Jiannan Zhang, Weizhen Yang, Na Bai, Yi Zhao, Mingyan Zhao, Guohua Wang
, Lawrence Carin
, Xigang Xiao
, Kaijiang Yu
, Zhaowen Qiu
, Xin Gao
:
An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors. Nat. Mach. Intell. 4(5): 494-503 (2022) - [c305]Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen:
What Makes Good In-Context Examples for GPT-3? DeeLIO@ACL 2022: 100-114 - [c304]Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin:
Improving Downstream Task Performance by Treating Numbers as Entities. CIKM 2022: 4535-4539 - [c303]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 - [c302]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 - [c301]Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Jing Huang, Lawrence Carin, Fan Li, Chenyang Tao:
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. NeurIPS 2022 - [c300]Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao:
Capturing actionable dynamics with structured latent ordinary differential equations. UAI 2022: 286-295 - [c299]Siyang Yuan, Yitong Li, Dong Wang, Ke Bai, Lawrence Carin, David E. Carlson:
Learning to Weight Filter Groups for Robust Classification. WACV 2022: 3321-3330 - [i172]Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao:
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations. CoRR abs/2202.12932 (2022) - [i171]Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin:
elBERto: Self-supervised Commonsense Learning for Question Answering. CoRR abs/2203.09424 (2022) - [i170]Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin:
Number Entity Recognition. CoRR abs/2205.03559 (2022) - [i169]Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin:
Collaborative Anomaly Detection. CoRR abs/2209.09923 (2022) - [i168]Dhanasekar Sundararaman, Nikhil Mehta, Lawrence Carin:
Pseudo-OOD training for robust language models. CoRR abs/2210.09132 (2022) - [i167]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
- [j116]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) - [j115]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) - [c298]Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha:
Learning Graphons via Structured Gromov-Wasserstein Barycenters. AAAI 2021: 10505-10513 - [c297]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin:
GO Hessian for Expectation-Based Objectives. AAAI 2021: 12060-12068 - [c296]Nikhil Mehta, Kevin J. Liang, Vinay Kumar Verma, Lawrence Carin:
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors. AISTATS 2021: 100-108 - [c295]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 - [c294]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 - [c293]Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao:
Enabling counterfactual survival analysis with balanced representations. CHIL 2021: 133-145 - [c292]Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin:
Syntactic Knowledge-Infused Transformer and BERT Models. CIKM Workshops 2021 - [c291]Weituo Hao, Mostafa El-Khamy
, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin:
Towards Fair Federated Learning With Zero-Shot Data Augmentation. CVPR Workshops 2021: 3310-3319 - [c290]Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin:
Efficient Feature Transformations for Discriminative and Generative Continual Learning. CVPR 2021: 13865-13875 - [c289]Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin:
Wasserstein Contrastive Representation Distillation. CVPR 2021: 16296-16305 - [c288]Dhanasekar Sundararaman, Henry Tsai, Kuang-Huei Lee, Iulia Turc, Lawrence Carin:
Learning Task Sampling Policy for Multitask Learning. EMNLP (Findings) 2021: 4410-4415 - [c287]Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin:
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. ICLR 2021 - [c286]Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin:
MixKD: Towards Efficient Distillation of Large-scale Language Models. ICLR 2021 - [c285]Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin:
Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning. ICLR 2021 - [c284]Qian Yang, Jianyi Zhang, Weituo Hao, Gregory P. Spell, Lawrence Carin:
FLOP: Federated Learning on Medical Datasets using Partial Networks. KDD 2021: 3845-3853 - [c283]Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu:
APo-VAE: Text Generation in Hyperbolic Space. NAACL-HLT 2021: 416-431 - [c282]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 - [c281]Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai:
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks. NeurIPS 2021: 15175-15187 - [c280]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 - [c279]Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin:
Zero-Shot Recognition via Optimal Transport. WACV 2021: 3470-3480 - [i166]Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin:
Reinforcement Learning for Flexibility Design Problems. CoRR abs/2101.00355 (2021) - [i165]Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen:
What Makes Good In-Context Examples for GPT-3? CoRR abs/2101.06804 (2021) - [i164]Qian Yang, Jianyi Zhang, Weituo Hao, Gregory Spell, Lawrence Carin:
FLOP: Federated Learning on Medical Datasets using Partial Networks. CoRR abs/2102.05218 (2021) - [i163]Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Lawrence Carin:
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning. CoRR abs/2102.11856 (2021) - [i162]Sakshi Varshney, Vinay Kumar Verma, Lawrence Carin, Piyush Rai:
Efficient Continual Adaptation for Generative Adversarial Networks. CoRR abs/2103.04032 (2021) - [i161]Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin:
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. CoRR abs/2103.06413 (2021) - [i160]Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin:
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning. CoRR abs/2103.09420 (2021) - [i159]Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin:
Efficient Feature Transformations for Discriminative and Generative Continual Learning. CoRR abs/2103.13558 (2021) - [i158]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) - [i157]Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin:
Towards Fair Federated Learning with Zero-Shot Data Augmentation. CoRR abs/2104.13417 (2021) - [i156]Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao:
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. CoRR abs/2107.01131 (2021) - [i155]Junya Chen, Zhe Gan, Xuan Li, Qing Guo, Liqun Chen, Shuyang Gao, Tagyoung Chung, Yi Xu, Belinda Zeng, Wenlian Lu, Fan Li, Lawrence Carin, Chenyang Tao:
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE. CoRR abs/2107.01152 (2021) - [i154]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) - [i153]Serge Assaad, Shuxi Zeng, Henry D. Pfister, Fan Li, Lawrence Carin:
Hölder Bounds for Sensitivity Analysis in Causal Reasoning. CoRR abs/2107.04661 (2021) - [i152]Junya Chen, Danni Lu, Zidi Xiu, Ke Bai, Lawrence Carin, Chenyang Tao:
Variational Inference with Holder Bounds. CoRR abs/2111.02947 (2021) - [i151]Junya Chen, Sijia Wang, Lawrence Carin, Chenyang Tao:
Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping. CoRR abs/2111.02949 (2021) - [i150]Rachel Lea Draelos, Lawrence Carin:
Explainable multiple abnormality classification of chest CT volumes with AxialNet and HiResCAM. CoRR abs/2111.12215 (2021) - 2020
- [c278]Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin:
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. AAAI 2020: 979-988 - [c277]Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin:
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. AAAI 2020: 6901-6908 - [c276]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 - [c275]Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Chen, David E. Carlson, Lawrence Carin:
Dynamic Embedding on Textual Networks via a Gaussian Process. AAAI 2020: 7562-7569 - [c274]Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao:
Complementary Auxiliary Classifiers for Label-Conditional Text Generation. AAAI 2020: 8303-8310 - [c273]Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin:
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. ACCV (4) 2020: 268-283 - [c272]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin:
Improving Adversarial Text Generation by Modeling the Distant Future. ACL 2020: 2516-2531 - [c271]Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin:
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. ACL 2020: 7530-7541 - [c270]Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin:
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. AISTATS 2020: 422-433 - [c269]Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, Changyou Chen:
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory. AISTATS 2020: 1877-1887 - [c268]Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker:
Adaptation Across Extreme Variations using Unlabeled Bridges. BMVC 2020 - [c267]Yuewei Yang, Kevin J. Liang, Lawrence Carin:
Object Detection as a Positive-Unlabeled Problem. BMVC 2020 - [c266]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 - [c265]Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin
, Ricardo Henao:
Survival cluster analysis. CHIL 2020: 60-68 - [c264]Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar:
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction. CVPR 2020: 937-946 - [c263]Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao:
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training. CVPR 2020: 13134-13143 - [c262]John McManigle
, Raquel Bartz, Lawrence Carin:
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations. EMBC 2020: 1266-1269 - [c261]Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin:
Semantic Matching via Optimal Partial Transport. EMNLP (Findings) 2020: 212-222 - [c260]Gregory Spell, Brian Guay, Sunshine Hillygus, Lawrence Carin:
An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets. EMNLP (1) 2020: 627-641 - [c259]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 - [c258]Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin:
Methods for Numeracy-Preserving Word Embeddings. EMNLP (1) 2020: 4742-4753 - [c257]Jianqiao Li, Chunyuan Li, Guoyin Wang, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin:
Improving Text Generation with Student-Forcing Optimal Transport. EMNLP (1) 2020: 9144-9156 - [c256]Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen:
Transferable Perturbations of Deep Feature Distributions. ICLR 2020 - [c255]Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin:
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering. ICLR 2020 - [c254]Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu:
Graph Optimal Transport for Cross-Domain Alignment. ICML 2020: 1542-1553 - [c253]Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin:
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information. ICML 2020: 1779-1788 - [c252]Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin:
Learning Autoencoders with Relational Regularization. ICML 2020: 10576-10586 - [c251]Miaoyun Zhao, Yulai Cong, Lawrence Carin:
On Leveraging Pretrained GANs for Generation with Limited Data. ICML 2020: 11340-11351 - [c250]Shijing Si, Chris J. Oates, Andrew B. Duncan, Lawrence Carin, François-Xavier Briol:
Scalable Control Variates for Monte Carlo Methods Via Stochastic Optimization. MCQMC 2020: 205-221 - [c249]Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Lawrence Carin:
Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage. MLHC 2020: 436-456 - [c248]Hao Zhang, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing:
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning. NeurIPS 2020 - [c247]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin:
GAN Memory with No Forgetting. NeurIPS 2020 - [c246]Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen:
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. NeurIPS 2020 - [c245]Danni Lu, Chenyang Tao, Junya Chen, Fan Li, Feng Guo, Lawrence Carin:
Reconsidering Generative Objectives For Counterfactual Reasoning. NeurIPS 2020 - [c244]Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, Lawrence Carin, Piyush Rai:
Calibrating CNNs for Lifelong Learning. NeurIPS 2020 - [i149]Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin:
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. CoRR abs/2001.06944 (2020) - [i148]Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin, Heng Huang:
Faster On-Device Training Using New Federated Momentum Algorithm. CoRR abs/2002.02090 (2020) - [i147]Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin:
Learning Autoencoders with Relational Regularization. CoRR abs/2002.02913 (2020) - [i146]Yuewei Yang, Kevin J. Liang
, Lawrence Carin:
Object Detection as a Positive-Unlabeled Problem. CoRR abs/2002.04672 (2020) - [i145]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) - [i144]Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao:
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training. CoRR abs/2002.10638 (2020) - [i143]Miaoyun Zhao, Yulai Cong, Lawrence Carin:
On Leveraging Pretrained GANs for Limited-Data Generation. CoRR abs/2002.11810 (2020) - [i142]Paidamoyo Chapfuwa
, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao:
Survival Cluster Analysis. CoRR abs/2003.00355 (2020) - [i141]Bai Li, Shiqi Wang
, Yunhan Jia, Yantao Lu, Zhenyu Zhong, Lawrence Carin, Suman Jana:
Towards Practical Lottery Ticket Hypothesis for Adversarial Training. CoRR abs/2003.05733 (2020) - [i140]Nikhil Mehta, Kevin J. Liang
, Lawrence Carin:
Bayesian Nonparametric Weight Factorization for Continual Learning. CoRR abs/2004.10098 (2020) - [i139]Nathan Inkawhich, Kevin J. Liang
, Lawrence Carin, Yiran Chen:
Transferable Perturbations of Deep Feature Distributions. CoRR abs/2004.12519 (2020) - [i138]Nathan Inkawhich, Kevin J. Liang
, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen:
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. CoRR abs/2004.14861 (2020) - [i137]Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu:
APo-VAE: Text Generation in Hyperbolic Space. CoRR abs/2005.00054 (2020) - [i136]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin:
Improving Adversarial Text Generation by Modeling the Distant Future. CoRR abs/2005.01279 (2020) - [i135]Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin:
Reward Constrained Interactive Recommendation with Natural Language Feedback. CoRR abs/2005.01618 (2020) - [i134]John McManigle, Raquel Bartz, Lawrence Carin:
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations. CoRR abs/2005.03824 (2020) - [i133]Pengyu Cheng
, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin:
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. CoRR abs/2006.00693 (2020) - [i132]Bai Li, Shiqi Wang, Suman Jana, Lawrence Carin:
Towards Understanding Fast Adversarial Training. CoRR abs/2006.03089 (2020) - [i131]Dixin Luo, Hongteng Xu, Lawrence Carin:
Hierarchical Optimal Transport for Robust Multi-View Learning. CoRR abs/2006.03160 (2020) - [i130]Shijing Si, Chris J. Oates, Andrew B. Duncan, Lawrence Carin, François-Xavier Briol:
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization. CoRR abs/2006.07487 (2020) - [i129]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin:
GAN Memory with No Forgetting. CoRR abs/2006.07543 (2020) - [i128]Paidamoyo Chapfuwa
, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao:
Survival Analysis meets Counterfactual Inference. CoRR abs/2006.07756 (2020) - [i127]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin:
GO Hessian for Expectation-Based Objectives. CoRR abs/2006.08873 (2020) - [i126]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) - [i125]Pengyu Cheng
, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin:
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information. CoRR abs/2006.12013 (2020) - [i124]Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu:
Graph Optimal Transport for Cross-Domain Alignment. CoRR abs/2006.14744 (2020) - [i123]Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin:
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. CoRR abs/2007.06178 (2020) - [i122]Weituo Hao, Nikhil Mehta, Kevin J. Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin:
WAFFLe: Weight Anonymized Factorization for Federated Learning. CoRR abs/2008.05687 (2020) - [i121]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) - [i120]John B. Sigman, Gregory P. Spell, Kevin J. Liang, Lawrence Carin:
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images. CoRR abs/2010.01202 (2020) - [i119]Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin:
Improving Text Generation with Student-Forcing Optimal Transport. CoRR abs/2010.05994 (2020) - [i118]Shounak Datta, Eduardo B. Mariottoni, David Dov, Alessandro A. Jammal, Lawrence Carin, Felipe A. Medeiros:
RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure. CoRR abs/2010.07488 (2020) - [i117]Shuxi Zeng, Serge Assaad, Chenyang Tao, Shounak Datta, Lawrence Carin, Fan Li:
Double Robust Representation Learning for Counterfactual Prediction. CoRR abs/2010.07866 (2020) - [i116]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) - [i115]Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin:
MixKD: Towards Efficient Distillation of Large-scale Language Models. CoRR abs/2011.00593 (2020) - [i114]Pengyu Cheng, Weituo Hao, Lawrence Carin:
Estimating Total Correlation with Mutual Information Bounds. CoRR abs/2011.04794 (2020) - [i113]Rachel Lea Draelos, Lawrence Carin:
HiResCAM: Explainable Multi-Organ Multi-Abnormality Prediction in 3D Medical Images. CoRR abs/2011.08891 (2020) - [i112]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) - [i111]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) - [i110]Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha:
Learning Graphons via Structured Gromov-Wasserstein Barycenters. CoRR abs/2012.05644 (2020) - [i109]Liqun Chen, Zhe Gan, Dong Wang, Jingjing Liu, Ricardo Henao, Lawrence Carin:
Wasserstein Contrastive Representation Distillation. CoRR abs/2012.08674 (2020)
2010 – 2019
- 2019
- [j114]Changyou Chen, Wenlin Wang, Yizhe Zhang, Qinliang Su, Lawrence Carin
:
A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC. Sci. China Inf. Sci. 62(1): 12101:1-12101:13 (2019) - [c243]Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin:
Communication-Efficient Stochastic Gradient MCMC for Neural Networks. AAAI 2019: 4173-4180 - [c242]Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin:
Learning Compressed Sentence Representations for On-Device Text Processing. ACL (1) 2019: 107-116 - [c241]Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin:
Syntax-Infused Variational Autoencoder for Text Generation. ACL (1) 2019: 2069-2078 - [c240]Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang
, Jianfeng Gao, Lawrence Carin:
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. ACL (1) 2019: 2079-2089 - [c239]Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin:
Improving Textual Network Embedding with Global Attention via Optimal Transport. ACL (1) 2019: 5193-5202 - [c238]Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin:
Scalable Thompson Sampling via Optimal Transport. AISTATS 2019: 87-96 - [c237]Bai Li, Changyou Chen, Hao Liu, Lawrence Carin:
On Connecting Stochastic Gradient MCMC and Differential Privacy. AISTATS 2019: 557-566 - [c236]Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin:
Adversarial Learning of a Sampler Based on an Unnormalized Distribution. AISTATS 2019: 3302-3311 - [c235]Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin
, David E. Carlson
, Jianfeng Gao:
StoryGAN: A Sequential Conditional GAN for Story Visualization. CVPR 2019: 6329-6338 - [c234]Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin:
An End-to-End Generative Architecture for Paraphrase Generation. EMNLP/IJCNLP (1) 2019: 3130-3140 - [c233]Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin:
Improving Sequence-to-Sequence Learning via Optimal Transport. ICLR (Poster) 2019 - [c232]Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin:
GO Gradient for Expectation-Based Objectives. ICLR (Poster) 2019 - [c231]Nikhil Mehta, Lawrence Carin, Piyush Rai:
Stochastic Blockmodels meet Graph Neural Networks. ICML 2019: 4466-4474 - [c230]Zhao Song, Ronald Parr, Lawrence Carin:
Revisiting the Softmax Bellman Operator: New Benefits and New Perspective. ICML 2019: 5916-5925 - [c229]Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin:
Variational Annealing of GANs: A Langevin Perspective. ICML 2019: 6176-6185 - [c228]Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin:
Gromov-Wasserstein Learning for Graph Matching and Node Embedding. ICML 2019: 6932-6941 - [c227]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 - [c226]Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin:
Topic-Guided Variational Auto-Encoder for Text Generation. NAACL-HLT (1) 2019: 166-177 - [c225]Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin:
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. NAACL-HLT (1) 2019: 240-250 - [c224]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 - [c223]Hongteng Xu, Dixin Luo, Lawrence Carin:
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching. NeurIPS 2019: 3046-3056 - [c222]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 - [c221]Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin:
Ouroboros: On Accelerating Training of Transformer-Based Language Models. NeurIPS 2019: 5520-5530 - [c220]Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin:
Certified Adversarial Robustness with Additive Noise. NeurIPS 2019: 9459-9469 - [c219]Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy V. Bobashev, Lawrence Carin:
On Fenchel Mini-Max Learning. NeurIPS 2019: 10427-10439 - [i108]Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin:
Adversarial Learning of a Sampler Based on an Unnormalized Distribution. CoRR abs/1901.00612 (2019) - [i107]Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin:
Gromov-Wasserstein Learning for Graph Matching and Node Embedding. CoRR abs/1901.06003 (2019) - [i106]Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin:
GO Gradient for Expectation-Based Objectives. CoRR abs/1901.06020 (2019) - [i105]Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin:
Improving Sequence-to-Sequence Learning via Optimal Transport. CoRR abs/1901.06283 (2019) - [i104]Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin:
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. CoRR abs/1902.00154 (2019) - [i103]Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin:
Scalable Thompson Sampling via Optimal Transport. CoRR abs/1902.07239 (2019) - [i102]Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin:
Topic-Guided Variational Autoencoders for Text Generation. CoRR abs/1903.07137 (2019) - [i101]Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin:
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. CoRR abs/1903.10145 (2019) - [i100]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) - [i99]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) - [i98]Nikhil Mehta, Lawrence Carin, Piyush Rai:
Stochastic Blockmodels meet Graph Neural Networks. CoRR abs/1905.05738 (2019) - [i97]Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin:
On Norm-Agnostic Robustness of Adversarial Training. CoRR abs/1905.06455 (2019) - [i96]Hongteng Xu, Dixin Luo, Lawrence Carin:
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching. CoRR abs/1905.07645 (2019) - [i95]Paidamoyo Chapfuwa, Chenyang Tao, Lawrence Carin, Ricardo Henao:
Survival Function Matching for Calibrated Time-to-Event Predictions. CoRR abs/1905.08838 (2019) - [i94]Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin:
Improving Textual Network Embedding with Global Attention via Optimal Transport. CoRR abs/1906.01840 (2019) - [i93]Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin:
Syntax-Infused Variational Autoencoder for Text Generation. CoRR abs/1906.02181 (2019) - [i92]Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker:
Adaptation Across Extreme Variations using Unlabeled Domain Bridges. CoRR abs/1906.02238 (2019) - [i91]Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin:
Towards Amortized Ranking-Critical Training for Collaborative Filtering. CoRR abs/1906.04281 (2019) - [i90]Dixin Luo, Hongteng Xu, Lawrence Carin:
Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms. CoRR abs/1906.05492 (2019) - [i89]Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin:
Learning Compressed Sentence Representations for On-Device Text Processing. CoRR abs/1906.08340 (2019) - [i88]Dixin Luo, Hongteng Xu, Lawrence Carin:
Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes. CoRR abs/1906.08397 (2019) - [i87]Dong Wang, Yitong Li, Wei Cao, Liqun Chen, Qi Wei, Lawrence Carin:
LMVP: Video Predictor with Leaked Motion Information. CoRR abs/1906.10101 (2019) - [i86]Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin:
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. CoRR abs/1909.05288 (2019) - [i85]Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin:
Ouroboros: On Accelerating Training of Transformer-Based Language Models. CoRR abs/1909.06695 (2019) - [i84]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) - [i83]Dixin Luo, Hongteng Xu, Lawrence Carin:
Fused Gromov-Wasserstein Alignment for Hawkes Processes. CoRR abs/1910.02096 (2019) - [i82]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) - [i81]Pengyu Cheng
, Yitong Li, Xinyuan Zhang, Liqun Cheng, David E. Carlson, Lawrence Carin:
Gaussian-Process-Based Dynamic Embedding for Textual Networks. CoRR abs/1910.02187 (2019) - [i80]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) - [i79]Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin:
An Optimal Transport Framework for Zero-Shot Learning. CoRR abs/1910.09057 (2019) - [i78]Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin:
Collaborative Filtering with A Synthetic Feedback Loop. CoRR abs/1910.12735 (2019) - [i77]Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin:
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. CoRR abs/1911.06156 (2019) - [i76]Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin:
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. CoRR abs/1911.08709 (2019) - [i75]Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar:
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction. CoRR abs/1911.11616 (2019) - [i74]Kevin J. Liang
, John B. Sigman, Gregory P. Spell, Dan Strellis, William Chang, Felix Liu, Tejas Mehta, Lawrence Carin:
Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection. CoRR abs/1912.06329 (2019) - 2018
- [c218]Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin:
Zero-Shot Learning via Class-Conditioned Deep Generative Models. AAAI 2018: 4211-4218 - [c217]Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin:
Deconvolutional Latent-Variable Model for Text Sequence Matching. AAAI 2018: 5438-5445 - [c216]Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin:
Video Generation From Text. AAAI 2018: 7065-7072 - [c215]Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin:
Adaptive Feature Abstraction for Translating Video to Text. AAAI 2018: 7284-7291 - [c214]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 - [c213]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 - [c212]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 - [c211]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. AISTATS 2018: 356-365 - [c210]Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin:
Benefits from Superposed Hawkes Processes. AISTATS 2018: 623-631 - [c209]Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin:
Symmetric Variational Autoencoder and Connections to Adversarial Learning. AISTATS 2018: 661-669 - [c208]Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin:
Learning Structural Weight Uncertainty for Sequential Decision-Making. AISTATS 2018: 1137-1146 - [c207]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 - [c206]Xinyuan Zhang, Xin Yuan
, Lawrence Carin
:
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration. CVPR 2018: 8232-8241 - [c205]Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin:
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. EMNLP 2018: 1829-1838 - [c204]Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin:
Learning Context-Aware Convolutional Filters for Text Processing. EMNLP 2018: 1839-1848 - [c203]Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao:
Adversarial Time-to-Event Modeling. ICML 2018: 734-743 - [c202]Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin:
Continuous-Time Flows for Efficient Inference and Density Estimation. ICML 2018: 823-832 - [c201]Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin:
Variational Inference and Model Selection with Generalized Evidence Bounds. ICML 2018: 892-901 - [c200]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 - [c199]Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin:
Chi-square Generative Adversarial Network. ICML 2018: 4894-4903 - [c198]Hongteng Xu, Lawrence Carin, Hongyuan Zha:
Learning Registered Point Processes from Idiosyncratic Observations. ICML 2018: 5439-5448 - [c197]Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin:
Policy Optimization as Wasserstein Gradient Flows. ICML 2018: 5741-5750 - [c196]Hongteng Xu, Dixin Luo, Lawrence Carin
:
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes. IJCAI 2018: 2905-2911 - [c195]Qi Wei, Yinhao Ren, Rui Hou, Bibo Shi, Joseph Y. Lo, Lawrence Carin
:
Anomaly detection for medical images based on a one-class classification. Medical Imaging: Computer-Aided Diagnosis 2018: 105751M - [c194]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 - [c193]Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon:
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model. MLHC 2018: 312-331 - [c192]Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin:
Distilled Wasserstein Learning for Word Embedding and Topic Modeling. NeurIPS 2018: 1723-1732 - [c191]Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin:
Adversarial Text Generation via Feature-Mover's Distance. NeurIPS 2018: 4671-4682 - [c190]Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin:
Diffusion Maps for Textual Network Embedding. NeurIPS 2018: 7598-7608 - [i73]Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin:
Learning Structural Weight Uncertainty for Sequential Decision-Making. CoRR abs/1801.00085 (2018) - [i72]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) - [i71]Xinyuan Zhang, Xin Yuan, Lawrence Carin:
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration. CoRR abs/1803.06795 (2018) - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin:
Diffusion Maps for Textual Network Embedding. CoRR abs/1805.09906 (2018) - [i65]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) - [i64]Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin:
Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference. CoRR abs/1807.01750 (2018) - [i63]Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin:
Policy Optimization as Wasserstein Gradient Flows. CoRR abs/1808.03030 (2018) - [i62]Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin:
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. CoRR abs/1808.09633 (2018) - [i61]Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon:
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model. CoRR abs/1809.01740 (2018) - [i60]Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin:
Second-Order Adversarial Attack and Certifiable Robustness. CoRR abs/1809.03113 (2018) - [i59]Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin:
Distilled Wasserstein Learning for Word Embedding and Topic Modeling. CoRR abs/1809.04705 (2018) - [i58]Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin:
Adversarial Text Generation via Feature-Mover's Distance. CoRR abs/1809.06297 (2018) - [i57]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin:
Sequence Generation with Guider Network. CoRR abs/1811.00696 (2018) - [i56]Kevin J. Liang
, Chunyuan Li, Guoyin Wang, Lawrence Carin:
Generative Adversarial Network Training is a Continual Learning Problem. CoRR abs/1811.11083 (2018) - [i55]Zhao Song, Ronald E. Parr, Lawrence Carin:
Revisiting the Softmax Bellman Operator: Theoretical Properties and Practical Benefits. CoRR abs/1812.00456 (2018) - [i54]Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao:
StoryGAN: A Sequential Conditional GAN for Story Visualization. CoRR abs/1812.02784 (2018) - 2017
- [j113]Liming Wang, Minhua Chen, Miguel R. D. Rodrigues, David Wilcox, A. Robert Calderbank, Lawrence Carin
:
Information-Theoretic Compressive Measurement Design. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1150-1164 (2017) - [j112]Ikenna Odinaka
, Joseph A. O'Sullivan, David G. Politte, Kenneth P. MacCabe, Yan Kaganovsky, Joel A. Greenberg, Manu N. Lakshmanan, Kalyani Krishnamurthy, Anuj J. Kapadia
, Lawrence Carin, David J. Brady:
Joint System and Algorithm Design for Computationally Efficient Fan Beam Coded Aperture X-Ray Coherent Scatter Imaging. IEEE Trans. Computational Imaging 3(4): 506-521 (2017) - [c189]Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin:
Unsupervised Learning with Truncated Gaussian Graphical Models. AAAI 2017: 2583-2589 - [c188]Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
:
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. ACL (1) 2017: 321-331 - [c187]Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin:
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis. AISTATS 2017: 121-129 - [c186]Shengyang Sun, Changyou Chen, Lawrence Carin:
Learning Structured Weight Uncertainty in Bayesian Neural Networks. AISTATS 2017: 1283-1292 - [c185]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 - [c184]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 - [c183]Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin
, Li Deng:
Semantic Compositional Networks for Visual Captioning. CVPR 2017: 1141-1150 - [c182]Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin
:
Learning Generic Sentence Representations Using Convolutional Neural Networks. EMNLP 2017: 2390-2400 - [c181]Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin:
Adaptive Feature Abstraction for Translating Video to Language. ICLR (Workshop) 2017 - [c180]Changwei Hu, Piyush Rai, Lawrence Carin:
Deep Generative Models for Relational Data with Side Information. ICML 2017: 1578-1586 - [c179]Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin:
Stochastic Gradient Monomial Gamma Sampler. ICML 2017: 3996-4005 - [c178]Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin:
Adversarial Feature Matching for Text Generation. ICML 2017: 4006-4015 - [c177]Zhengming Xing, Sunshine Hillygus, Lawrence Carin
:
Evaluating U.S. Electoral Representation with a Joint Statistical Model of Congressional Roll-Calls, Legislative Text, and Voter Registration Data. KDD 2017: 1205-1214 - [c176]Kai Fan, Qi Wei, Lawrence Carin, Katherine A. Heller:
An inner-loop free solution to inverse problems using deep neural networks. NIPS 2017: 2370-2380 - [c175]Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin:
Deconvolutional Paragraph Representation Learning. NIPS 2017: 4169-4179 - [c174]Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin:
VAE Learning via Stein Variational Gradient Descent. NIPS 2017: 4236-4245 - [c173]Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin:
Adversarial Symmetric Variational Autoencoder. NIPS 2017: 4330-4339 - [c172]Qinliang Su, Xuejun Liao, Lawrence Carin:
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. NIPS 2017: 4486-4495 - [c171]Zhao Song, Yusuke Muraoka, Ryohei Fujimaki, Lawrence Carin:
Scalable Model Selection for Belief Networks. NIPS 2017: 4609-4619 - [c170]Yitong Li, Michael Murias, Samantha Major, Geraldine Dawson, Kafui Dzirasa, Lawrence Carin, David E. Carlson:
Targeting EEG/LFP Synchrony with Neural Nets. NIPS 2017: 4620-4630 - [c169]Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin:
Triangle Generative Adversarial Networks. NIPS 2017: 5247-5256 - [c168]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 - [c167]Neil Gallagher, Kyle R. Ulrich, Austin Talbot, Kafui Dzirasa, Lawrence Carin, David E. Carlson:
Cross-Spectral Factor Analysis. NIPS 2017: 6842-6852 - [i53]Xin Yuan, Yunchen Pu, Lawrence Carin:
Compressive Sensing via Convolutional Factor Analysis. CoRR abs/1701.03006 (2017) - [i52]Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin:
Stein Variational Autoencoder. CoRR abs/1704.05155 (2017) - [i51]Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin:
Stochastic Gradient Monomial Gamma Sampler. CoRR abs/1706.01498 (2017) - [i50]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) - [i49]Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin:
Deconvolutional Paragraph Representation Learning. CoRR abs/1708.04729 (2017) - [i48]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) - [i47]Qi Wei, Kai Fan, Lawrence Carin, Katherine A. Heller:
An inner-loop free solution to inverse problems using deep neural networks. CoRR abs/1709.01841 (2017) - [i46]Yunchen Pu, Liqun Chen, Shuyang Dai, Weiyao Wang, Chunyuan Li, Lawrence Carin:
Symmetric Variational Autoencoder and Connections to Adversarial Learning. CoRR abs/1709.01846 (2017) - [i45]Qinliang Su, Xuejun Liao, Lawrence Carin:
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. CoRR abs/1709.06123 (2017) - [i44]Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin:
Triangle Generative Adversarial Networks. CoRR abs/1709.06548 (2017) - [i43]Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin:
Deconvolutional Latent-Variable Model for Text Sequence Matching. CoRR abs/1709.07109 (2017) - [i42]Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin:
Adaptive Convolutional Filter Generation for Natural Language Understanding. CoRR abs/1709.08294 (2017) - [i41]Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin:
Video Generation From Text. CoRR abs/1710.00421 (2017) - [i40]Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin:
Adversarial Symmetric Variational Autoencoder. CoRR abs/1711.04915 (2017) - [i39]Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin:
Zero-Shot Learning via Class-Conditioned Deep Generative Models. CoRR abs/1711.05820 (2017) - [i38]Bai Li, Changyou Chen, Hao Liu, Lawrence Carin:
On Connecting Stochastic Gradient MCMC and Differential Privacy. CoRR abs/1712.09097 (2017) - [i37]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. CoRR abs/1712.09783 (2017) - 2016
- [j111]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) - [j110]David E. Carlson
, Ya-Ping Hsieh, Edo Collins, Lawrence Carin
, Volkan Cevher
:
Stochastic Spectral Descent for Discrete Graphical Models. IEEE J. Sel. Top. Signal Process. 10(2): 296-311 (2016) - [j109]Xun Cao, Tao Yue
, Xing Lin, Stephen Lin, Xin Yuan
, Qionghai Dai, Lawrence Carin
, David J. Brady
:
Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world. IEEE Signal Process. Mag. 33(5): 95-108 (2016) - [j108]Francesco Renna
, Liming Wang, Xin Yuan
, Jianbo Yang, Galen Reeves
, A. Robert Calderbank, Lawrence Carin
, Miguel R. D. Rodrigues:
Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information. IEEE Trans. Inf. Theory 62(11): 6459-6492 (2016) - [c166]Yizhe Zhang, Ricardo Henao, Lawrence Carin, Jianling Zhong, Alexander J. Hartemink:
Learning a Hybrid Architecture for Sequence Regression and Annotation. AAAI 2016: 1415-1421 - [c165]Chunyuan Li, Changyou Chen, David E. Carlson, Lawrence Carin:
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks. AAAI 2016: 1788-1794 - [c164]Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin:
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models. AAAI 2016: 1795-1801 - [c163]Zhao Song, Xuejun Liao, Lawrence Carin:
Solving DEC-POMDPs by Expectation Maximization of Value Function. AAAI Spring Symposia 2016 - [c162]Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin:
A Deep Generative Deconvolutional Image Model. AISTATS 2016: 741-750 - [c161]Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin:
Variational Gaussian Copula Inference. AISTATS 2016: 829-838 - [c160]Changyou Chen, David E. Carlson, Zhe Gan, Chunyuan Li, Lawrence Carin:
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization. AISTATS 2016: 1051-1060 - [c159]Changwei Hu, Piyush Rai, Lawrence Carin:
Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information. AISTATS 2016: 1124-1132 - [c158]Changwei Hu, Piyush Rai, Lawrence Carin:
Topic-Based Embeddings for Learning from Large Knowledge Graphs. AISTATS 2016: 1133-1141 - [c157]Zhao Song, Ricardo Henao, David E. Carlson, Lawrence Carin:
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization. AISTATS 2016: 1347-1355 - [c156]Yan Kaganovsky, Ikenna Odinaka, David E. Carlson, Lawrence Carin:
Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization. AISTATS 2016: 1497-1505 - [c155]Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan, Lawrence Carin
:
Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification. CVPR 2016: 5666-5675 - [c154]Liming Wang, Francesco Renna
, Xin Yuan
, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
:
A general framework for reconstruction and classification from compressive measurements with side information. ICASSP 2016: 4239-4243 - [c153]Yizhe Zhang, Yue Zhao, Lawrence David, Ricardo Henao, Lawrence Carin:
Dynamic Poisson Factor Analysis. ICDM 2016: 1359-1364 - [c152]Jiaming Song, Zhe Gan, Lawrence Carin:
Factored Temporal Sigmoid Belief Networks for Sequence Learning. ICML 2016: 1272-1281 - [c151]Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin:
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models. ICML 2016: 1948-1957 - [c150]Yizhe Zhang, Ricardo Henao, Chunyuan Li, Lawrence Carin:
Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks. IJCAI 2016: 2364-2370 - [c149]Yizhe Zhang, Xiangyu Wang, Changyou Chen, Ricardo Henao, Kai Fan, Lawrence Carin:
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling. NIPS 2016: 1741-1749 - [c148]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 - [c147]Changyou Chen, Nan Ding, Chunyuan Li, Yizhe Zhang, Lawrence Carin:
Stochastic Gradient MCMC with Stale Gradients. NIPS 2016: 2937-2945 - [c146]Zhao Song, Ronald E. Parr, Xuejun Liao, Lawrence Carin:
Linear Feature Encoding for Reinforcement Learning. NIPS 2016: 4224-4232 - [c145]Yizhe Zhang, Changyou Chen, Ricardo Henao
, Lawrence Carin
:
Laplacian Hamiltonian Monte Carlo. ECML/PKDD (1) 2016: 98-114 - [c144]Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin
:
Deep Metric Learning with Data Summarization. ECML/PKDD (1) 2016: 777-794 - [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 - [i36]Ikenna Odinaka, Yan Kaganovsky, Joel A. Greenberg, Mehadi Hassan, David G. Politte, Joseph A. O'Sullivan, Lawrence Carin, David J. Brady:
Spectrally Grouped Total Variation Reconstruction for Scatter Imaging Using ADMM. CoRR abs/1601.08201 (2016) - [i35]Ikenna Odinaka, Joseph A. O'Sullivan, David G. Politte, Kenneth P. MacCabe, Yan Kaganovsky, Joel A. Greenberg, Manu N. Lakshmanan, Kalyani Krishnamurthy, Anuj J. Kapadia, Lawrence Carin, David J. Brady:
Joint System and Algorithm Design for Computationally Efficient Fan Beam Coded Aperture X-ray Coherent Scatter Imaging. CoRR abs/1603.06400 (2016) - [i34]Jiaming Song, Zhe Gan, Lawrence Carin:
Factored Temporal Sigmoid Belief Networks for Sequence Learning. CoRR abs/1605.06715 (2016) - [i33]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) - [i32]Changyou Chen, Nan Ding, Chunyuan Li, Yizhe Zhang, Lawrence Carin:
Stochastic Gradient MCMC with Stale Gradients. CoRR abs/1610.06664 (2016) - [i31]Wenlin Wang, Changyou Chen, Wenqi Wang, Piyush Rai, Lawrence Carin:
Earliness-Aware Deep Convolutional Networks for Early Time Series Classification. CoRR abs/1611.04578 (2016) - [i30]Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin:
Unsupervised Learning with Truncated Gaussian Graphical Models. CoRR abs/1611.04920 (2016) - [i29]Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin:
Adaptive Feature Abstraction for Translating Video to Language. CoRR abs/1611.07837 (2016) - [i28]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) - [i27]Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng:
Semantic Compositional Networks for Visual Captioning. CoRR abs/1611.08002 (2016) - [i26]Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin:
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. CoRR abs/1611.08034 (2016) - [i25]Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin:
Deep Overcomplete Tensor Rank-Decompositions. CoRR abs/1612.02842 (2016) - 2015
- [j107]Xin Yuan
, Tsung-Han Tsai, Ruoyu Zhu, Patrick Llull, David J. Brady
, Lawrence Carin
:
Compressive Hyperspectral Imaging With Side Information. IEEE J. Sel. Top. Signal Process. 9(6): 964-976 (2015) - [j106]Yanbin Lu, Lawrence Carin
, Ronald R. Coifman, William Shain, Badrinath Roysam:
Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure. Neuroinformatics 13(1): 47-63 (2015) - [j105]Mingyuan Zhou, Lawrence Carin
:
Negative Binomial Process Count and Mixture Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 307-320 (2015) - [j104]Gungor Polatkan, Mingyuan Zhou, Lawrence Carin
, David M. Blei, Ingrid Daubechies:
A Bayesian Nonparametric Approach to Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 346-358 (2015) - [j103]Liming Wang, Jiaji Huang, Xin Yuan
, Kalyani Krishnamurthy, Joel A. Greenberg
, Volkan Cevher
, Miguel R. D. Rodrigues, David J. Brady
, A. Robert Calderbank, Lawrence Carin
:
Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements. SIAM J. Imaging Sci. 8(3): 1923-1954 (2015) - [j102]Yan Kaganovsky, Shaobo Han, Soysal Degirmenci, David G. Politte, David J. Brady
, Joseph A. O'Sullivan, Lawrence Carin
:
Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise. SIAM J. Imaging Sci. 8(3): 2087-2132 (2015) - [j101]Wenzhao Lian, Ronen Talmon, Hitten Zaveri, Lawrence Carin
, Ronald R. Coifman:
Multivariate time-series analysis and diffusion maps. Signal Process. 116: 13-28 (2015) - [j100]Jianbo Yang, Xuejun Liao, Xin Yuan
, Patrick Llull, David J. Brady
, Guillermo Sapiro, Lawrence Carin
:
Compressive Sensing by Learning a Gaussian Mixture Model From Measurements. IEEE Trans. Image Process. 24(1): 106-119 (2015) - [c143]Wenzhao Lian, Piyush Rai, Esther Salazar, Lawrence Carin:
Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data. AAAI 2015: 2757-2763 - [c142]Piyush Rai, Yingjian Wang, Lawrence Carin:
Leveraging Features and Networks for Probabilistic Tensor Decomposition. AAAI 2015: 2942-2948 - [c141]Yi Zhen, Piyush Rai, Hongyuan Zha, Lawrence Carin:
Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision. AAAI 2015: 3203-3209 - [c140]David E. Carlson, Volkan Cevher, Lawrence Carin:
Stochastic Spectral Descent for Restricted Boltzmann Machines. AISTATS 2015 - [c139]Zhe Gan, Ricardo Henao, David E. Carlson, Lawrence Carin:
Learning Deep Sigmoid Belief Networks with Data Augmentation. AISTATS 2015 - [c138]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 - [c137]Zhe Gan, Changyou Chen, Ricardo Henao, David E. Carlson, Lawrence Carin:
Scalable Deep Poisson Factor Analysis for Topic Modeling. ICML 2015: 1823-1832 - [c136]Wenzhao Lian, Ricardo Henao, Vinayak A. Rao, Joseph E. Lucas, Lawrence Carin:
A Multitask Point Process Predictive Model. ICML 2015: 2030-2038 - [c135]Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How:
Stick-Breaking Policy Learning in Dec-POMDPs. IJCAI 2015: 2011-2018 - [c134]Piyush Rai, Changwei Hu, Matthew Harding, Lawrence Carin:
Scalable Probabilistic Tensor Factorization for Binary and Count Data. IJCAI 2015: 3770-3776 - [c133]Francesco Renna
, Liming Wang, Xin Yuan
, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin
, Miguel R. D. Rodrigues:
Classification and reconstruction of compressed GMM signals with side information. ISIT 2015: 994-998 - [c132]Liming Wang, Jiaji Huang, Xin Yuan
, Volkan Cevher, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
:
A concentration-of-measure inequality for multiple-measurement models. ISIT 2015: 2341-2345 - [c131]Yan Kaganovsky, Soysal Degirmenci, Shaobo Han, Ikenna Odinaka, David G. Politte, David J. Brady
, Joseph A. O'Sullivan
, Lawrence Carin
:
Alternating minimization algorithm with iteratively reweighted quadratic penalties for compressive transmission tomography. Medical Imaging: Image Processing 2015: 94130J - [c130]Kyle R. Ulrich, David E. Carlson, Kafui Dzirasa, Lawrence Carin:
GP Kernels for Cross-Spectrum Analysis. NIPS 2015: 1999-2007 - [c129]Changyou Chen, Nan Ding, Lawrence Carin:
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators. NIPS 2015: 2278-2286 - [c128]Zhe Gan, Chunyuan Li, Ricardo Henao, David E. Carlson, Lawrence Carin:
Deep Temporal Sigmoid Belief Networks for Sequence Modeling. NIPS 2015: 2467-2475 - [c127]Ricardo Henao, Zhe Gan, James Lu, Lawrence Carin:
Deep Poisson Factor Modeling. NIPS 2015: 2800-2808 - [c126]David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher:
Preconditioned Spectral Descent for Deep Learning. NIPS 2015: 2971-2979 - [c125]Piyush Rai, Changwei Hu, Ricardo Henao, Lawrence Carin:
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings. NIPS 2015: 3222-3230 - [c124]Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin
:
Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data. ECML/PKDD (2) 2015: 53-70 - [c123]Changwei Hu, Piyush Rai, Lawrence Carin:
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. UAI 2015: 375-384 - [c122]Yunchen Pu, Xin Yuan, Lawrence Carin:
A Generative Model for Deep Convolutional Learning. ICLR (Workshop) 2015 - [i24]Xin Yuan, Tsung-Han Tsai, Ruoyu Zhu, Patrick Llull, David J. Brady, Lawrence Carin:
Compressive Hyperspectral Imaging with Side Information. CoRR abs/1502.06260 (2015) - [i23]Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How:
Stick-Breaking Policy Learning in Dec-POMDPs. CoRR abs/1505.00274 (2015) - [i22]Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin:
Variational Gaussian Copula Inference. CoRR abs/1506.05860 (2015) - [i21]Changwei Hu, Piyush Rai, Lawrence Carin:
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. CoRR abs/1508.04210 (2015) - [i20]Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin:
Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data. CoRR abs/1508.04211 (2015) - [i19]Zhe Gan, Chunyuan Li, Ricardo Henao, David E. Carlson, Lawrence Carin:
Deep Temporal Sigmoid Belief Networks for Sequence Modeling. CoRR abs/1509.07087 (2015) - [i18]Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin:
A Deep Generative Deconvolutional Image Model. CoRR abs/1512.07344 (2015) - [i17]Changyou Chen, David E. Carlson, Zhe Gan, Chunyuan Li, Lawrence Carin:
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization. CoRR abs/1512.07962 (2015) - 2014
- [j99]Priyadip Ray, Lingling Zheng, Joseph E. Lucas, Lawrence Carin
:
Bayesian joint analysis of heterogeneous genomics data. Bioinform. 30(10): 1370-1376 (2014) - [j98]Xuejun Liao, Hui Li, Lawrence Carin
:
Generalized Alternating Projection for Weighted-퓁2, 1 Minimization with Applications to Model-Based Compressive Sensing. SIAM J. Imaging Sci. 7(2): 797-823 (2014) - [j97]Gonzalo R. Arce
, David J. Brady
, Lawrence Carin
, Henry Arguello, David S. Kittle:
Compressive Coded Aperture Spectral Imaging: An Introduction. IEEE Signal Process. Mag. 31(1): 105-115 (2014) - [j96]David E. Carlson
, Joshua T. Vogelstein, Qisong Wu, Wenzhao Lian, Mingyuan Zhou, Colin R. Stoetzner, Daryl Kipke, Douglas Weber, David B. Dunson, Lawrence Carin
:
Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning and Mixture Modeling. IEEE Trans. Biomed. Eng. 61(1): 41-54 (2014) - [j95]Jianbo Yang, Xin Yuan
, Xuejun Liao, Patrick Llull, David J. Brady
, Guillermo Sapiro, Lawrence Carin
:
Video Compressive Sensing Using Gaussian Mixture Models. IEEE Trans. Image Process. 23(11): 4863-4878 (2014) - [j94]Liming Wang, David Edwin Carlson
, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
:
A Bregman Matrix and the Gradient of Mutual Information for Vector Poisson and Gaussian Channels. IEEE Trans. Inf. Theory 60(5): 2611-2629 (2014) - [j93]Francesco Renna
, A. Robert Calderbank, Lawrence Carin
, Miguel R. D. Rodrigues:
Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements. IEEE Trans. Signal Process. 62(9): 2265-2277 (2014) - [j92]Xin Yuan
, Vinayak A. Rao, Shaobo Han, Lawrence Carin
:
Hierarchical Infinite Divisibility for Multiscale Shrinkage. IEEE Trans. Signal Process. 62(17): 4363-4374 (2014) - [c121]Changwei Hu, Eunsu Ryu, David E. Carlson, Yingjian Wang, Lawrence Carin:
Latent Gaussian Models for Topic Modeling. AISTATS 2014: 393-401 - [c120]Haichao Zhang, Lawrence Carin
:
Multi-shot Imaging: Joint Alignment, Deblurring, and Resolution-Enhancement. CVPR 2014: 2925-2932 - [c119]Xin Yuan
, Patrick Llull, Xuejun Liao, Jianbo Yang, David J. Brady
, Guillermo Sapiro, Lawrence Carin
:
Low-Cost Compressive Sensing for Color Video and Depth. CVPR 2014: 3318-3325 - [c118]Wenzhao Lian, Vinayak A. Rao, Brian Eriksson, Lawrence Carin:
Modeling Correlated Arrival Events with Latent Semi-Markov Processes. ICML 2014: 396-404 - [c117]Liming Wang, Abolfazl Razi, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin:
Nonlinear Information-Theoretic Compressive Measurement Design. ICML 2014: 1161-1169 - [c116]Piyush Rai, Yingjian Wang, Shengbo Guo, Gary Chen, David B. Dunson, Lawrence Carin:
Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors. ICML 2014: 1800-1808 - [c115]Ricardo Henao, Xin Yuan, Lawrence Carin:
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling. NIPS 2014: 1754-1762 - [c114]David E. Carlson, Jana Schaich Borg, Kafui Dzirasa, Lawrence Carin:
On the relations of LFPs & Neural Spike Trains. NIPS 2014: 2060-2068 - [c113]Kyle R. Ulrich, David E. Carlson, Wenzhao Lian, Jana Schaich Borg, Kafui Dzirasa, Lawrence Carin:
Analysis of Brain States from Multi-Region LFP Time-Series. NIPS 2014: 2483-2491 - [c112]Shaobo Han, Lin Du, Esther Salazar, Lawrence Carin:
Dynamic Rank Factor Model for Text Streams. NIPS 2014: 2663-2671 - [c111]Jianbo Yang, Xuejun Liao, Minhua Chen, Lawrence Carin:
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices. NIPS 2014: 3194-3202 - [i16]Xin Yuan, Patrick Llull, Xuejun Liao, Jianbo Yang, Guillermo Sapiro, David J. Brady, Lawrence Carin:
Low-Cost Compressive Sensing for Color Video and Depth. CoRR abs/1402.6932 (2014) - [i15]Xin Yuan, Patrick Llull, David J. Brady, Lawrence Carin:
Tree-Structure Bayesian Compressive Sensing for Video. CoRR abs/1410.3080 (2014) - [i14]Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues:
Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information. CoRR abs/1412.0614 (2014) - [i13]Yunchen Pu, Xin Yuan, Lawrence Carin:
Bayesian Deep Deconvolutional Learning. CoRR abs/1412.6039 (2014) - 2013
- [j91]Esther Salazar, David B. Dunson, Lawrence Carin
:
Analysis of space-time relational data with application to legislative voting. Comput. Stat. Data Anal. 68: 141-154 (2013) - [j90]Bo Chen, Gungor Polatkan, Guillermo Sapiro, David M. Blei, David B. Dunson, Lawrence Carin
:
Deep Learning with Hierarchical Convolutional Factor Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1887-1901 (2013) - [j89]Ajit Rajwade, David S. Kittle, Tsung-Han Tsai, David J. Brady
, Lawrence Carin
:
Coded Hyperspectral Imaging and Blind Compressive Sensing. SIAM J. Imaging Sci. 6(2): 782-812 (2013) - [j88]Julio Martin Duarte-Carvajalino
, Guoshen Yu, Lawrence Carin
, Guillermo Sapiro:
Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models. IEEE Trans. Signal Process. 61(3): 585-600 (2013) - [c110]Ricardo Henao, Jared Murray, Geoffrey S. Ginsburg, Lawrence Carin, Joseph E. Lucas:
Patient Clustering with Uncoded Text in Electronic Medical Records. AMIA 2013 - [c109]Divyanshu Vats, Christoph Studer, Andrew S. Lan, Lawrence Carin, Richard G. Baraniuk:
Test-size Reduction for Concept Estimation. EDM 2013: 292-295 - [c108]Francesco Renna
, A. Robert Calderbank, Lawrence Carin
, Miguel R. D. Rodrigues:
Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view. GlobalSIP 2013: 628 - [c107]Francesco Renna
, Miguel R. D. Rodrigues, Minhua Chen, A. Robert Calderbank, Lawrence Carin
:
Compressive sensing for incoherent imaging systems with optical constraints. ICASSP 2013: 5484-5488 - [c106]Xin Yuan
, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David J. Brady
, Lawrence Carin
:
Adaptive temporal compressive sensing for video. ICIP 2013: 14-18 - [c105]Jianbo Yang, Xin Yuan
, Xuejun Liao, Patrick Llull, Guillermo Sapiro, David J. Brady
, Lawrence Carin
:
Gaussian mixture model for video compressive sensing. ICIP 2013: 19-23 - [c104]Esther Salazar, Ryan Bogdan, Adam Gorka, Ahmad Hariri, Lawrence Carin:
Exploring the Mind: Integrating Questionnaires and fMRI. ICML (2) 2013: 262-270 - [c103]Miao Liu, Xuejun Liao, Lawrence Carin:
Online Expectation Maximization for Reinforcement Learning in POMDPs. IJCAI 2013: 1501-1507 - [c102]Yanbin Lu, Kristen Trett, William Shain, Lawrence Carin
, Ronald R. Coifman, Badrinath Roysam:
Quantitative profiling of microglia populations using harmonic co-clustering of arbor morphology measurements. ISBI 2013: 1360-1363 - [c101]Liming Wang, Miguel R. D. Rodrigues, Lawrence Carin
:
Generalized Bregman divergence and gradient of mutual information for vector Poisson channels. ISIT 2013: 454-458 - [c100]Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How, Lawrence Carin:
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture. NIPS 2013: 449-457 - [c99]Liming Wang, David E. Carlson, Miguel R. D. Rodrigues, David Wilcox, A. Robert Calderbank, Lawrence Carin:
Designed Measurements for Vector Count Data. NIPS 2013: 1142-1150 - [c98]Shaobo Han, Xuejun Liao, Lawrence Carin:
Integrated Non-Factorized Variational Inference. NIPS 2013: 2481-2489 - [c97]David E. Carlson, Vinayak A. Rao, Joshua T. Vogelstein, Lawrence Carin:
Real-Time Inference for a Gamma Process Model of Neural Spiking. NIPS 2013: 2805-2813 - [i12]Liming Wang, Miguel R. D. Rodrigues, Lawrence Carin:
Generalized Bregman Divergence and Gradient of Mutual Information for Vector Poisson Channels. CoRR abs/1301.6648 (2013) - [i11]Patrick Llull, Xuejun Liao, Xin Yuan, Jianbo Yang, David S. Kittle, Lawrence Carin, Guillermo Sapiro, David J. Brady:
Coded aperture compressive temporal imaging. CoRR abs/1302.2575 (2013) - [i10]Xin Yuan, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David J. Brady, Lawrence Carin:
Adaptive Temporal Compressive Sensing for Video. CoRR abs/1302.3446 (2013) - [i9]Francesco Renna, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues:
Reconstruction of Signals Drawn from a Gaussian Mixture from Noisy Compressive Measurements: MMSE Phase Transitions and Beyond. CoRR abs/1307.0861 (2013) - 2012
- [j87]Zhengming Xing, Mingyuan Zhou, Alexey Castrodad, Guillermo Sapiro, Lawrence Carin
:
Dictionary Learning for Noisy and Incomplete Hyperspectral Images. SIAM J. Imaging Sci. 5(1): 33-56 (2012) - [j86]William R. Carson, Minhua Chen, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
:
Communications-Inspired Projection Design with Application to Compressive Sensing. SIAM J. Imaging Sci. 5(4): 1185-1212 (2012) - [j85]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) - [j84]Mingyuan Zhou, Haojun Chen, John W. Paisley, Lu Ren, Lingbo Li, Zhengming Xing, David B. Dunson, Guillermo Sapiro, Lawrence Carin
:
Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images. IEEE Trans. Image Process. 21(1): 130-144 (2012) - [c96]William R. Carson, Miguel R. D. Rodrigues, Minhua Chen, Lawrence Carin
, A. Robert Calderbank:
How to focus the discriminative power of a dictionary. ICASSP 2012: 1365-1368 - [c95]Lingbo Li, Jorge G. Silva, Mingyuan Zhou, Lawrence Carin
:
Online Bayesian dictionary learning for large datasets. ICASSP 2012: 2157-2160 - [c94]Julio Martin Duarte-Carvajalino
, Guoshen Yu, Lawrence Carin
, Guillermo Sapiro:
Adapted statistical compressive sensing: Learning to sense gaussian mixture models. ICASSP 2012: 3653-3656 - [c93]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 - [c92]Minhua Chen, William R. Carson, Miguel R. D. Rodrigues, Lawrence Carin, A. Robert Calderbank:
Communications Inspired Linear Discriminant Analysis. ICML 2012 - [c91]Shaobo Han, Xuejun Liao, Lawrence Carin:
Cross-Domain Multitask Learning with Latent Probit Models. ICML 2012 - [c90]Esther Salazar, Lawrence Carin:
Inferring Latent Structure From Mixed Real and Categorical Relational Data. ICML 2012 - [c89]Yingjian Wang, Lawrence Carin:
Levy Measure Decompositions for the Beta and Gamma Processes. ICML 2012 - [c88]Mingyuan Zhou, Lingbo Li, David B. Dunson, Lawrence Carin:
Lognormal and Gamma Mixed Negative Binomial Regression. ICML 2012 - [c87]Xu Chen, Mingyuan Zhou, Lawrence Carin
:
The contextual focused topic model. KDD 2012: 96-104 - [c86]Jorge G. Silva, Lawrence Carin
:
Active learning for online bayesian matrix factorization. KDD 2012: 325-333 - [c85]XianXing Zhang, Lawrence Carin:
Joint Modeling of a Matrix with Associated Text via Latent Binary Features. NIPS 2012: 1565-1573 - [c84]Mingyuan Zhou, Lawrence Carin:
Augment-and-Conquer Negative Binomial Processes. NIPS 2012: 2555-2563 - [c83]Jorge G. Silva, Lawrence Carin
:
Active learning for large-scale factor analysis. SSP 2012: 161-164 - [c82]Lingbo Li, XianXing Zhang, Mingyuan Zhou, Lawrence Carin:
Nested Dictionary Learning for Hierarchical Organization of Imagery and Text. UAI 2012: 469-478 - [c81]Mingyuan Zhou
, Lauren Hannah, David B. Dunson, Lawrence Carin:
Beta-Negative Binomial Process and Poisson Factor Analysis. AISTATS 2012: 1462-1471 - [i8]Julio Martin Duarte-Carvajalino, Guoshen Yu, Lawrence Carin, Guillermo Sapiro:
Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models. CoRR abs/1201.5404 (2012) - [i7]William R. Carson, Minhua Chen, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin:
Communications-Inspired Projection Design with Application to Compressive Sensing. CoRR abs/1206.1973 (2012) - [i6]Yingjian Wang, Lawrence Carin:
Levy Measure Decompositions for the Beta and Gamma Processes. CoRR abs/1206.4615 (2012) - [i5]Mingyuan Zhou, Lingbo Li, David B. Dunson, Lawrence Carin:
Lognormal and Gamma Mixed Negative Binomial Regression. CoRR abs/1206.6456 (2012) - [i4]Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David M. Blei, Ingrid Daubechies:
A Bayesian Nonparametric Approach to Image Super-resolution. CoRR abs/1209.5019 (2012) - [i3]Lingbo Li, XianXing Zhang, Mingyuan Zhou, Lawrence Carin:
Nested Dictionary Learning for Hierarchical Organization of Imagery and Text. CoRR abs/1210.4872 (2012) - 2011
- [j83]Lu Ren, Lan Du, Lawrence Carin, David B. Dunson:
Logistic Stick-Breaking Process. J. Mach. Learn. Res. 12: 203-239 (2011) - [j82]Lawrence Carin
, Richard G. Baraniuk, Volkan Cevher
, David B. Dunson, Michael I. Jordan
, Guillermo Sapiro, Michael B. Wakin
:
Learning Low-Dimensional Signal Models. IEEE Signal Process. Mag. 28(2): 39-51 (2011) - [j81]Minhua Chen, David E. Carlson
, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Alfred O. Hero III, Joseph E. Lucas, Lawrence Carin
:
Detection of Viruses Via Statistical Gene Expression Analysis. IEEE Trans. Biomed. Eng. 58(3): 468-479 (2011) - [j80]Alexey Castrodad, Zhengming Xing, John B. Greer, Edward Bosch, Lawrence Carin
, Guillermo Sapiro:
Learning Discriminative Sparse Representations for Modeling, Source Separation, and Mapping of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 49(11): 4263-4281 (2011) - [j79]Xinghao Ding, Lihan He, Lawrence Carin
:
Bayesian Robust Principal Component Analysis. IEEE Trans. Image Process. 20(12): 3419-3430 (2011) - [j78]Minhua Chen, Jorge G. Silva, John W. Paisley, Chunping Wang, David B. Dunson, Lawrence Carin
:
Corrections to "Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds". IEEE Trans. Signal Process. 59(3): 1329 (2011) - [c80]Priyadip Ray, Lawrence Carin:
Non-parametric Bayesian modeling and fusion of spatio-temporal information sources. FUSION 2011: 1-7 - [c79]Christopher Cramer, Lawrence Carin
:
Bayesian topic models for describing computer network behaviors. ICASSP 2011: 1888-1891 - [c78]Lingbo Li, Mingyuan Zhou, Eric Wang, Lawrence Carin
:
Joint dictionary learning and topic modeling for image clustering. ICASSP 2011: 2168-2171 - [c77]Eric Wang, Jorge G. Silva, Rebecca Willett
, Lawrence Carin
:
Time-evolving modeling of social networks. ICASSP 2011: 2184-2187 - [c76]Hui Li, Xuejun Liao, Lawrence Carin
:
Nonparametric Bayesian feature selection for multi-task learning. ICASSP 2011: 2236-2239 - [c75]Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin
:
Covariate-dependent dictionary learning and sparse coding. ICASSP 2011: 5824-5827 - [c74]Bo Chen, Gungor Polatkan, Guillermo Sapiro, David B. Dunson, Lawrence Carin:
The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning. ICML 2011: 361-368 - [c73]Haojun Chen, David B. Dunson, Lawrence Carin:
Topic Modeling with Nonparametric Markov Tree. ICML 2011: 377-384 - [c72]Lingbo Li, Mingyuan Zhou, Guillermo Sapiro, Lawrence Carin:
On the Integration of Topic Modeling and Dictionary Learning. ICML 2011: 625-632 - [c71]Miao Liu, Xuejun Liao, Lawrence Carin:
The Infinite Regionalized Policy Representation. ICML 2011: 769-776 - [c70]XianXing Zhang, David B. Dunson, Lawrence Carin:
Tree-Structured Infinite Sparse Factor Model. ICML 2011: 785-792 - [c69]John W. Paisley, Lawrence Carin, David M. Blei:
Variational Inference for Stick-Breaking Beta Process Priors. ICML 2011: 889-896 - [c68]Bo Chen, David E. Carlson, Lawrence Carin:
On the Analysis of Multi-Channel Neural Spike Data. NIPS 2011: 936-944 - [c67]Lu Ren, Yingjian Wang, David B. Dunson, Lawrence Carin:
The Kernel Beta Process. NIPS 2011: 963-971 - [c66]XianXing Zhang, David B. Dunson, Lawrence Carin:
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices. NIPS 2011: 1395-1403 - [c65]Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin:
Dependent Hierarchical Beta Process for Image Interpolation and Denoising. AISTATS 2011: 883-891 - [i2]Jorge G. Silva, Minhua Chen, Yonina C. Eldar, Guillermo Sapiro, Lawrence Carin:
Blind Compressed Sensing Over a Structured Union of Subspaces. CoRR abs/1103.2469 (2011) - [i1]Julio Martin Duarte-Carvajalino, Guillermo Sapiro, Guoshen Yu, Lawrence Carin:
Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models. CoRR abs/1112.5895 (2011) - 2010
- [j77]Bo Chen, Minhua Chen, John W. Paisley, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Alfred O. Hero III, Joseph E. Lucas, David B. Dunson, Lawrence Carin
:
Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies. BMC Bioinform. 11: 552 (2010) - [j76]Chunping Wang, Xuejun Liao, Lawrence Carin, David B. Dunson:
Classification with Incomplete Data Using Dirichlet Process Priors. J. Mach. Learn. Res. 11: 3269-3311 (2010) - [j75]Iulian Pruteanu-Malinici, Lu Ren, John W. Paisley, Eric Wang, Lawrence Carin
:
Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents. IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 996-1011 (2010) - [j74]Lihan He, Haojun Chen, Lawrence Carin
:
Tree-Structured Compressive Sensing With Variational Bayesian Analysis. IEEE Signal Process. Lett. 17(3): 233-236 (2010) - [j73]David M. Blei, Lawrence Carin
, David B. Dunson:
Probabilistic Topic Models. IEEE Signal Process. Mag. 27(6): 55-65 (2010) - [j72]Volkan Cevher, Piotr Indyk, Lawrence Carin
, Richard G. Baraniuk:
Sparse Signal Recovery and Acquisition with Graphical Models. IEEE Signal Process. Mag. 27(6): 92-103 (2010) - [j71]John W. Paisley, Xuejun Liao, Lawrence Carin
:
Active learning and basis selection for kernel-based linear models: a Bayesian perspective. IEEE Trans. Signal Process. 58(5): 2686-2700 (2010) - [j70]Lan Du, Minhua Chen, Joseph E. Lucas, Lawrence Carin
:
Sticky hidden Markov modeling of comparative genomic hybridization. IEEE Trans. Signal Process. 58(10): 5353-5368 (2010) - [j69]Minhua Chen, Jorge G. Silva, John W. Paisley, Chunping Wang, David B. Dunson, Lawrence Carin
:
Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds. IEEE Trans. Signal Process. 58(12): 6140-6155 (2010) - [c64]Yi Ma, Fei Sha, Lawrence Carin, Gilad Lerman, Neil D. Lawrence:
Invited Talk Abstracts. AAAI Fall Symposium: Manifold Learning and Its Applications 2010 - [c63]Bo Chen, John W. Paisley, Lawrence Carin
:
Sparse linear regression with beta process priors. ICASSP 2010: 1234-1237 - [c62]John W. Paisley, Lawrence Carin
:
A nonparametric Bayesian model for kernel matrix completion. ICASSP 2010: 2090-2093 - [c61]Alexey Castrodad, Zhengming Xing, John B. Greer, Edward Bosch, Lawrence Carin
, Guillermo Sapiro:
Discriminative sparse representations in hyperspectral imagery. ICIP 2010: 1313-1316 - [c60]John W. Paisley, Mingyuan Zhou, Guillermo Sapiro, Lawrence Carin
:
Nonparametric image interpolation and dictionary learning using spatially-dependent Dirichlet and beta process priors. ICIP 2010: 1869-1872 - [c59]John W. Paisley, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Lawrence Carin:
A Stick-Breaking Construction of the Beta Process. ICML 2010: 847-854 - [c58]Eric Wang, Dehong Liu, Jorge G. Silva, David B. Dunson, Lawrence Carin:
Joint Analysis of Time-Evolving Binary Matrices and Associated Documents. NIPS 2010: 2370-2378
2000 – 2009
- 2009
- [j68]Lawrence Carin
, Dehong Liu, Wenbin Lin
, Bin Guo:
Compressive sensing for multi-static scattering analysis. J. Comput. Phys. 228(9): 3464-3477 (2009) - [j67]Hui Li, Xuejun Liao, Lawrence Carin:
Multi-task Reinforcement Learning in Partially Observable Stochastic Environments. J. Mach. Learn. Res. 10: 1131-1186 (2009) - [j66]Shihao Ji
, Layne T. Watson, Lawrence Carin
:
Semisupervised Learning of Hidden Markov Models via a Homotopy Method. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 275-287 (2009) - [j65]Qiuhua Liu, Xuejun Liao, Hui Li, Jason R. Stack, Lawrence Carin
:
Semisupervised Multitask Learning. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 1074-1086 (2009) - [j64]Xuejun Liao, Lawrence Carin
:
Migratory Logistic Regression for Learning Concept Drift Between Two Data Sets With Application to UXO Sensing. IEEE Trans. Geosci. Remote. Sens. 47(5): 1454-1466 (2009) - [j63]Jason R. Stack, Gerald J. Dobeck, Xuejun Liao, Lawrence Carin
:
Kernel-Matching Pursuits With Arbitrary Loss Functions. IEEE Trans. Neural Networks 20(3): 395-405 (2009) - [j62]Shihao Ji
, David B. Dunson, Lawrence Carin
:
Multitask Compressive Sensing. IEEE Trans. Signal Process. 57(1): 92-106 (2009) - [j61]Lihan He, Lawrence Carin
:
Exploiting structure in wavelet-based Bayesian compressive sensing. IEEE Trans. Signal Process. 57(9): 3488-3497 (2009) - [j60]John W. Paisley, Lawrence Carin
:
Hidden Markov models with stick-breaking priors. IEEE Trans. Signal Process. 57(10): 3905-3917 (2009) - [c57]Chunping Wang, Qi An, Lawrence Carin
, David B. Dunson:
Multi-task classification with infinite local experts. ICASSP 2009: 1569-1572 - [c56]John W. Paisley, Lawrence Carin
:
Dirichlet process mixture models with multiple modalities. ICASSP 2009: 1613-1616 - [c55]Hui Li, Xuejun Liao, Lawrence Carin
:
Active learning for semi-supervised multi-task learning. ICASSP 2009: 1637-1640 - [c54]Lu Ren, David B. Dunson, Scott Lindroth, Lawrence Carin
:
Music analysis with a Bayesian dynamic model. ICASSP 2009: 1681-1684 - [c53]John W. Paisley, Lawrence Carin
:
Nonparametric factor analysis with beta process priors. ICML 2009: 777-784 - [c52]Chenghui Cai, Xuejun Liao, Lawrence Carin:
Learning to Explore and Exploit in POMDPs. NIPS 2009: 198-206 - [c51]Lan Du, Lu Ren, David B. Dunson, Lawrence Carin:
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation. NIPS 2009: 486-494 - [c50]Mingyuan Zhou
, Haojun Chen, John W. Paisley, Lu Ren, Guillermo Sapiro, Lawrence Carin:
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations. NIPS 2009: 2295-2303 - 2008
- [j59]Lawrence Carin
, George Cybenko, Jeff Hughes:
Cybersecurity Strategies: The QuERIES Methodology. Computer 41(8): 20-26 (2008) - [j58]Jun Fang, Shihao Ji
, Ya Xue, Lawrence Carin
:
Multitask Classification by Learning the Task Relevance. IEEE Signal Process. Lett. 15: 593-596 (2008) - [j57]K. C. Ho, Lawrence Carin
, Paul D. Gader, Joseph N. Wilson:
An Investigation of Using the Spectral Characteristics From Ground Penetrating Radar for Landmine/Clutter Discrimination. IEEE Trans. Geosci. Remote. Sens. 46(4): 1177-1191 (2008) - [j56]Qiuhua Liu, Xuejun Liao, Lawrence Carin
:
Detection of Unexploded Ordnance via Efficient Semisupervised and Active Learning. IEEE Trans. Geosci. Remote. Sens. 46(9): 2558-2567 (2008) - [j55]Iulian Pruteanu-Malinici, Lawrence Carin
:
Infinite Hidden Markov Models for Unusual-Event Detection in Video. IEEE Trans. Image Process. 17(5): 811-822 (2008) - [j54]Shihao Ji
, Ya Xue, Lawrence Carin
:
Bayesian Compressive Sensing. IEEE Trans. Signal Process. 56(6): 2346-2356 (2008) - [j53]Kai Ni, John W. Paisley, Lawrence Carin
, David B. Dunson:
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data. IEEE Trans. Signal Process. 56(8-2): 3918-3931 (2008) - [c49]Qi An, Chunping Wang, Ivo Shterev, Eric Wang, Lawrence Carin
, David B. Dunson:
Hierarchical kernel stick-breaking process for multi-task image analysis. ICML 2008: 17-24 - [c48]Yuting Qi, Dehong Liu, David B. Dunson, Lawrence Carin
:
Multi-task compressive sensing with Dirichlet process priors. ICML 2008: 768-775 - [c47]Lu Ren, David B. Dunson, Lawrence Carin
:
The dynamic hierarchical Dirichlet process. ICML 2008: 824-831 - [c46]Gregory Arnold, Timothy Ross, Lori Westerkamp, Lawrence Carin
, Randolph L. Moses:
The ATR Center and ATRpedia. Visual Information Processing 2008: 69780 - 2007
- [j52]Zhiqin Zhao, Narayan Kovvali, Wenbin Lin
, Chang-Hoi Ahn, Luise Couchman, Lawrence Carin
:
Volumetric fast multipole method for modeling Schrödinger's equation. J. Comput. Phys. 224(2): 941-955 (2007) - [j51]Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram:
Multi-Task Learning for Classification with Dirichlet Process Priors. J. Mach. Learn. Res. 8: 35-63 (2007) - [j50]David Williams, Yijun Yu, Levi Kennedy, Xianyang Zhu, Lawrence Carin
:
A Bivariate Gaussian Model for Unexploded Ordnance Classification with EMI Data. IEEE Geosci. Remote. Sens. Lett. 4(4): 629-633 (2007) - [j49]David Williams, Xuejun Liao, Ya Xue, Lawrence Carin
, Balaji Krishnapuram:
On Classification with Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 427-436 (2007) - [j48]Shihao Ji
, Lawrence Carin
:
Cost-sensitive feature acquisition and classification. Pattern Recognit. 40(5): 1474-1485 (2007) - [j47]Dehong Liu, Jeffrey L. Krolik, Lawrence Carin
:
Electromagnetic Target Detection in Uncertain Media: Time-Reversal and Minimum-Variance Algorithms. IEEE Trans. Geosci. Remote. Sens. 45(4): 934-944 (2007) - [j46]Yijun Yu, Lawrence Carin
:
Three-Dimensional Bayesian Inversion With Application to Subsurface Sensing. IEEE Trans. Geosci. Remote. Sens. 45(5-1): 1258-1270 (2007) - [j45]Lihan He, Shihao Ji
, Waymond R. Scott, Lawrence Carin
:
Adaptive Multimodality Sensing of Landmines. IEEE Trans. Geosci. Remote. Sens. 45(6-2): 1756-1774 (2007) - [j44]David Williams, Chunping Wang, Xuejun Liao, Lawrence Carin
:
Classification of Unexploded Ordnance Using Incomplete Multisensor Multiresolution Data. IEEE Trans. Geosci. Remote. Sens. 45(7-2): 2364-2373 (2007) - [j43]Shihao Ji
, Ronald Parr, Lawrence Carin
:
Nonmyopic Multiaspect Sensing With Partially Observable Markov Decision Processes. IEEE Trans. Signal Process. 55(6-1): 2720-2730 (2007) - [j42]Yuting Qi, John William Paisley, Lawrence Carin
:
Music Analysis Using Hidden Markov Mixture Models. IEEE Trans. Signal Process. 55(11): 5209-5224 (2007) - [c45]Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin:
Point-Based Policy Iteration. AAAI 2007: 1243-1249 - [c44]Kai Ni, Yuting Qi, Lawrence Carin
:
Multi-Aspect Target Classification and Detection via the Infinite Hidden Markov Model. ICASSP (2) 2007: 433-436 - [c43]Yuting Qi, John William Paisley, Lawrence Carin
:
Dirichlet Process HMM Mixture Models with Application to Music Analysis. ICASSP (2) 2007: 465-468 - [c42]Dehong Liu, Lawrence Carin
:
Wideband Array Imaging of a Target Situated in an Unknown Random Media. ICASSP (1) 2007: 533-536 - [c41]Qiuhua Liu, Xuejun Liao, Lawrence Carin
:
Learning Classifiers on a Partially Labeled Data Manifold. ICASSP (2) 2007: 621-624 - [c40]Iulian Pruteanu-Malinici, Lawrence Carin
:
Infinite Hidden Markov Models and ISA Features for Unusual-Event Detection in Video. ICIP (5) 2007: 137-140 - [c39]Shihao Ji, Lawrence Carin
:
Bayesian compressive sensing and projection optimization. ICML 2007: 377-384 - [c38]Xuejun Liao, Hui Li, Lawrence Carin
:
Quadratically gated mixture of experts for incomplete data classification. ICML 2007: 553-560 - [c37]Kai Ni, Lawrence Carin
, David B. Dunson:
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process. ICML 2007: 689-696 - [c36]Ya Xue, David B. Dunson, Lawrence Carin
:
The matrix stick-breaking process for flexible multi-task learning. ICML 2007: 1063-1070 - [c35]Qiuhua Liu, Xuejun Liao, Lawrence Carin:
Semi-Supervised Multitask Learning. NIPS 2007: 937-944 - 2006
- [j41]Wenbin Lin
, Narayan Kovvali, Lawrence Carin
:
Pseudospectral method based on prolate spheroidal wave functions for semiconductor nanodevice simulation. Comput. Phys. Commun. 175(2): 78-85 (2006) - [j40]Shihao Ji, Balaji Krishnapuram, Lawrence Carin
:
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. 28(4): 522-532 (2006) - [j39]Narayan Kovvali, Wenbin Lin, Zhiqin Zhao, Luise Couchman, Lawrence Carin
:
Rapid Prolate Pseudospectral Differentiation and Interpolation with the Fast Multipole Method. SIAM J. Sci. Comput. 28(2): 485-497 (2006) - [j38]Shaorong Chang, Lawrence Carin
:
A modified SPIHT algorithm for image coding with a joint MSE and classification distortion measure. IEEE Trans. Image Process. 15(3): 713-725 (2006) - [j37]Nilanjan Dasgupta, Lawrence Carin
:
Texture analysis with variational hidden Markov trees. IEEE Trans. Signal Process. 54(6-1): 2353-2356 (2006) - [c34]Hui Li, Xuejun Liao, Lawrence Carin:
Incremental Least Squares Policy Iteration for POMDPs. AAAI 2006: 1167-1172 - [c33]Nilanjan Dasgupta, Shihao Ji
, Lawrence Carin:
Homotopy-Based Semi-Supervised Hidden Markov Tree for Texture Analysis. ICASSP (2) 2006: 97-100 - [c32]Hui Li, Xuejun Liao, Lawrence Carin:
A Reward-Directed Bayesian Classifier. ICASSP (5) 2006: 613-616 - [c31]Hui Li, Xuejun Liao, Lawrence Carin
:
Region-based value iteration for partially observable Markov decision processes. ICML 2006: 561-568 - 2005
- [j36]Wenbin Lin
, Narayan Kovvali, Lawrence Carin
:
Direct algorithm for computation of derivatives of the Daubechies basis functions. Appl. Math. Comput. 170(2): 1006-1013 (2005) - [j35]Balaji Krishnapuram, Lawrence Carin
, Mário A. T. Figueiredo, Alexander J. Hartemink:
Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds. IEEE Trans. Pattern Anal. Mach. Intell. 27(6): 957-968 (2005) - [c30]Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
:
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation. CVPR (2) 2005: 1043-1050 - [c29]Xuejun Liao, Ya Xue, Lawrence Carin
:
Logistic regression with an auxiliary data source. ICML 2005: 505-512 - [c28]David Williams, Xuejun Liao, Ya Xue, Lawrence Carin:
Incomplete-data classification using logistic regression. ICML 2005: 972-979 - [c27]Xuejun Liao, Lawrence Carin:
Radial Basis Function Network for Multi-task Learning. NIPS 2005: 792-802 - 2004
- [j34]Balaji Krishnapuram, Lawrence Carin
, Alexander J. Hartemink:
Joint Classifier and Feature Optimization for Comprehensive Cancer Diagnosis Using Gene Expression Data. J. Comput. Biol. 11(2/3): 227-242 (2004) - [j33]Xuejun Liao, Lawrence Carin
:
Application of the Theory of Optimal Experiments to Adaptive Electromagnetic-Induction Sensing of Buried Targets. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 961-972 (2004) - [j32]Balaji Krishnapuram, Alexander J. Hartemink, Lawrence Carin
, Mário A. T. Figueiredo:
A Bayesian Approach to Joint Feature Selection and Classifier Design. IEEE Trans. Pattern Anal. Mach. Intell. 26(9): 1105-1111 (2004) - [j31]Yijun Yu, Tiejun Yu, Lawrence Carin
:
Three-dimensional inverse scattering of a dielectric target embedded in a lossy half-space. IEEE Trans. Geosci. Remote. Sens. 42(5): 957-973 (2004) - [j30]Xianyang Zhu, Lawrence Carin
:
Application of the biorthogonal multiresolution time-domain method to the analysis of elastic-wave interactions with buried targets. IEEE Trans. Geosci. Remote. Sens. 42(7): 1502-1511 (2004) - [j29]Yan Zhang, Xuejun Liao, Lawrence Carin
:
Detection of buried targets via active selection of labeled data: application to sensing subsurface UXO. IEEE Trans. Geosci. Remote. Sens. 42(11): 2535-2543 (2004) - [c26]Nilanjan Dasgupta, Lawrence Carin:
Time-reversal imaging and classification for distant targets in a shallow water channel. ICASSP (2) 2004: 65-68 - [c25]Shihao Ji
, Xuejun Liao, Lawrence Carin:
Adaptive multi-aspect target classification and detection with hidden Markov models. ICASSP (2) 2004: 125-128 - [c24]Yan Zhang, Xuejun Liao, Esther Durá, Lawrence Carin:
Active selection of labeled data for target detection. ICASSP (5) 2004: 465-468 - [c23]Shaorong Chang, Lawrence Carin:
Kernel matching pursuits prioritization of wavelet coefficients for SPIHT image coding. ICASSP (3) 2004: 649-652 - [c22]Dehong Liu
, Lihan He, Lawrence Carin:
Airport detection in large aerial optical imagery. ICASSP (5) 2004: 761-764 - [c21]Balaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo:
On Semi-Supervised Classification. NIPS 2004: 721-728 - 2003
- [j28]Yan Zhang, Leslie M. Collins, Lawrence Carin
:
Unexploded ordnance detection using Bayesian physics-based data fusion. Integr. Comput. Aided Eng. 10(3): 231-247 (2003) - [j27]Yanting Dong, Lawrence Carin
:
Rate-Distortion Analysis of Discrete-HMM Pose Estimation via Multiaspect Scattering Data. IEEE Trans. Pattern Anal. Mach. Intell. 25(7): 872-883 (2003) - [j26]Ling Li, Zhijun Liu, Xiaolong Dong, James A. Thompson, Lawrence Carin
:
Scalable multilevel fast multipole method for multiple targets in the vicinity of a half space. IEEE Trans. Geosci. Remote. Sens. 41(4): 791-802 (2003) - [j25]Yan Zhang, Leslie M. Collins, Haitao Yu, Carl E. Baum, Lawrence Carin
:
Sensing of unexploded ordnance with magnetometer and induction data: theory and signal processing. IEEE Trans. Geosci. Remote. Sens. 41(5): 1005-1015 (2003) - [j24]Yanting Dong, Lawrence Carin
:
Quantization of multiaspect scattering data: target classification and pose estimation. IEEE Trans. Signal Process. 51(12): 3105-3114 (2003) - [c20]Yanting Dong, Lawrence Carin:
Rate-Distortion Bound for Joint Compression and Classification. DCC 2003: 423 - [c19]Hongwei Liu, Nilanjan Dasgupta, Lawrence Carin:
Time-reversal imaging for wideband underwater target classification. ICASSP (5) 2003: 5-8 - [c18]Xuejun Liao, Lawrence Carin:
ICA with multiple quadratic constraints. ICASSP (5) 2003: 313-316 - [c17]Nilanjan Dasgupta, Lawrence Carin:
Context-based graphical modeling for wavelet domain signal processing. ICASSP (3) 2003: 485-488 - [c16]Balaji Krishnapuram, Lawrence Carin
, Alexander J. Hartemink:
Joint classifier and feature optimization for cancer diagnosis using gene expression data. RECOMB 2003: 167-175 - 2002
- [j23]Priya Bharadwaj, Lawrence Carin
:
Infrared-Image Classification Using Hidden Markov Trees. IEEE Trans. Pattern Anal. Mach. Intell. 24(10): 1394-1398 (2002) - [j22]Nilanjan Dasgupta, Simon M. Lin, Lawrence Carin
:
Sequential modeling for identifying CpG island locations in human genome. IEEE Signal Process. Lett. 9(12): 407-409 (2002) - [c15]Hongwei Liu, Lawrence Carin
:
Class-based target classification in shallow water channel based on Hidden Markov Model. ICASSP 2002: 2889-2892 - [c14]Balaji Krishnapuram, Lawrence Carin
:
Support Vector Machines for improved multiaspect target recognition using the fisher kernel scores of Hidden Markov Models. ICASSP 2002: 2989-2992 - [c13]Jiuliu Lu, Lawrence Carin
:
HMM-based multiresolution image segmentation. ICASSP 2002: 3357-3360 - [c12]Xuejun Liao, Nilanjan Dasgupta, Simon M. Lin, Lawrence Carin
:
ICA and PLS modeling for functional analysis and drug sensitivity for DNA microarray signals. ICASSP 2002: 3880-3883 - [c11]Shaorong Chang, Nasser M. Nasrabadi, Lawrence Carin
:
Infrared-image classification using support vector machines. ICASSP 2002: 4168 - [c10]Leslie M. Collins, Yizhe Zhang, Lawrence Carin:
Model-based statistical sensor fusion for unexploded ordnance detection. IGARSS 2002: 1556-1559 - [c9]Balaji Krishnapuram, Lawrence Carin:
Support Vector Machines for Improved Multiaspect Target Recognition Using the Fisher Scores of Hidden Markov Models. JCIS 2002: 354-357 - 2001
- [j21]Eric Jones, Paul Runkle, Nilanjan Dasgupta, Luise Couchman, Lawrence Carin
:
Genetic Algorithm Wavelet Design for Signal Classification. IEEE Trans. Pattern Anal. Mach. Intell. 23(8): 890-895 (2001) - [j20]Nilanjan Dasgupta, Paul Runkle, Luise Couchman, Lawrence Carin
:
Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data. Signal Process. 81(6): 1303-1316 (2001) - [j19]Leslie M. Collins, Yan Zhang, Jing Li, Hua Wang, Lawrence Carin
, Sean J. Hart, Susan L. Rose-Pehrsson, Herbert H. Nelson, James R. McDonald:
A comparison of the performance of statistical and fuzzy algorithms for unexploded ordnance detection. IEEE Trans. Fuzzy Syst. 9(1): 17-30 (2001) - [j18]Paul Runkle, Lam H. Nguyen, James H. McClellan, Lawrence Carin
:
Multi-aspect target detection for SAR imagery using hidden Markov models. IEEE Trans. Geosci. Remote. Sens. 39(1): 46-55 (2001) - [j17]Lawrence Carin
:
Foreword. IEEE Trans. Geosci. Remote. Sens. 39(6): 1107 (2001) - [j16]Lawrence Carin
, Haitao Yu, Yacine Dalichaouch, Alexander R. Perry, Peter V. Czipott, Carl E. Baum:
On the wideband EMI response of a rotationally symmetric permeable and conducting target. IEEE Trans. Geosci. Remote. Sens. 39(6): 1206-1213 (2001) - [j15]Yanting Dong, Paul Runkle, Lawrence Carin
, Raju Damarla, Anders Sullivan, Marc A. Ressler, Jeffrey Sichina:
Multi-aspect detection of surface and shallow-buried unexploded ordnance via ultra-wideband synthetic aperture radar. IEEE Trans. Geosci. Remote. Sens. 39(6): 1259-1270 (2001) - [j14]Traian Dogaru, Lawrence Carin
:
Time-domain sensing of targets buried under a Gaussian, exponential, or fractal rough interface. IEEE Trans. Geosci. Remote. Sens. 39(8): 1807-1819 (2001) - [j13]Jiangqi He, Norbert Geng, Lam H. Nguyen, Lawrence Carin
:
Rigorous modeling of ultrawideband VHF scattering from tree trunks over flat and. sloped terrain. IEEE Trans. Geosci. Remote. Sens. 39(10): 2182-2193 (2001) - [c8]Priya Bharadwaj, Paul Runkle, Lawrence Carin:
Infrared-image classification using expansion matching filters and hidden Markov trees. ICASSP 2001: 1553-1556 - [c7]Yanting Dong, Paul Runkle, Lawrence Carin:
Markov modeling of transient scattering and its application in multi-aspect target classification. ICASSP 2001: 2841-2844 - [c6]Xuejun Liao, Paul Runkle, Yan Jiao, Lawrence Carin:
Identification of ground targets from sequential HRR radar signatures. ICASSP 2001: 2897-2900 - [c5]Nilanjan Dasgupta, Paul Runkle, Lawrence Carin:
Class-based identification of underwater targets using hidden Markov models. ICASSP 2001: 3161-3164 - 2000
- [j12]Tiejun Yu, Lawrence Carin:
Analysis of the electromagnetic inductive response of a void in a conducting-soil background. IEEE Trans. Geosci. Remote. Sens. 38(3): 1320-1327 (2000) - [j11]Ping Gao, Leslie M. Collins, Philip M. Garber, Norbert Geng, Lawrence Carin:
Classification of landmine-like metal targets using wideband electromagnetic induction. IEEE Trans. Geosci. Remote. Sens. 38(3): 1352-1361 (2000) - [j10]Norbert Geng, Anders Sullivan, Lawrence Carin
:
Multilevel fast-multipole algorithm for scattering from conducting targets above or embedded in a lossy half space. IEEE Trans. Geosci. Remote. Sens. 38(4): 1561-1573 (2000)
1990 – 1999
- 1999
- [j9]Paul Runkle, Lawrence Carin, Luise Couchman, Timothy J. Yoder, Joseph A. Bucaro:
Multiaspect Target Identification with Wave-Based Matched Pursuits and Continuous Hidden Markov Models. IEEE Trans. Pattern Anal. Mach. Intell. 21(12): 1371-1378 (1999) - [j8]Norbert Geng, Carl E. Baum, Lawrence Carin:
On the low-frequency natural response of conducting and permeable targets. IEEE Trans. Geosci. Remote. Sens. 37(1): 347-359 (1999) - [j7]Leslie M. Collins, Ping Gao, Lawrence Carin
:
An improved Bayesian decision theoretic approach for land mine detection. IEEE Trans. Geosci. Remote. Sens. 37(2): 811-819 (1999) - [j6]Norbert Geng, Lawrence Carin
:
Short-pulse electromagnetic scattering from arbitrarily oriented subsurface ordnance. IEEE Trans. Geosci. Remote. Sens. 37(4): 2111-2113 (1999) - [j5]Norbert Geng, Marc A. Ressler, Lawrence Carin:
Wide-band VHF scattering from a trihedral reflector situated above a lossy dispersive halfspace. IEEE Trans. Geosci. Remote. Sens. 37(5): 2609-2617 (1999) - [j4]Luise Couchman, Lawrence Carin
:
Hidden Markov models for multiaspect target classification. IEEE Trans. Signal Process. 47(7): 2035-2040 (1999) - [c4]Paul Runkle, Lawrence Carin:
Multi-aspect target identification with wave-based matching pursuits and continuous hidden Markov models. ICASSP 1999: 2115-2118 - [c3]Ping Gao, Leslie M. Collins, Norbert Geng, Lawrence Carin, Dean A. Keiswetter, I. J. Won:
Classification of landmine-like metal targets using wideband electromagnetic induction. ICASSP 1999: 2327-2330 - [c2]Lawrence Carin
, Gary Ybarra, Priya Bharadwaj, Paul Runkle:
Physics-based classification of targets in SAR imagery using subaperture sequences. ICASSP 1999: 3341-3344 - 1998
- [j3]Lawrence Carin
, Ravinder Kapoor, Carl E. Baum:
Polarimetric SAR imaging of buried landmines. IEEE Trans. Geosci. Remote. Sens. 36(6): 1985-1988 (1998) - 1997
- [j2]Stanislav Vitebskiy, Lawrence Carin
, Marc A. Ressler, Francis H. Le:
Ultra-wideband, short-pulse ground-penetrating radar: simulation and measurement. IEEE Trans. Geosci. Remote. Sens. 35(3): 762-772 (1997) - [j1]Mark R. McClure, Lawrence Carin
:
Matching pursuits with a wave-based dictionary. IEEE Trans. Signal Process. 45(12): 2912-2927 (1997) - [c1]Hakan Bakircioglu, Erol Gelenbe, Lawrence Carin
:
Random Neural Network Recognition of Shaped Objects in Strong Clutter. ICANN 1997: 961-966
Coauthor Index
aka: David Edwin Carlson
aka: John William Paisley
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