Lawrence Carin

617 papers A* 121A 36B 11C 3Misc 32Journal 305Unranked 108

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Coupling Generative Modeling and an Autoencoder with the Causal Bridge. CoRR Ruolin Meng, Ming-Yu Chung, Dhanajit Brahma, Ricardo Henao, Lawrence Carin
2025	A*	`conf`	Graph Transformers Dream of Electric Flow. ICLR Xiang Cheng, Lawrence Carin, Suvrit Sra
2025	J	`jnl`	In-Context Semi-Supervised Learning. CoRR Jiashuo Fan, Paul Rosu, Aaron T. Wang, Michael Li, Lawrence Carin, Xiang Cheng
2025	—	`conf`	LangMark: A Multilingual Dataset for Automatic Post-Editing. ACL (1) Diego Velazquez, Mikaela Grace, Konstantinos Karageorgos, Lawrence Carin, Aaron Schliem, Dimitrios Zaikis, Roger Wechsler
2025	J	`jnl`	LangMark: A Multilingual Dataset for Automatic Post-Editing. CoRR Diego Velazquez, Mikaela Grace, Konstantinos Karageorgos, Lawrence Carin, Aaron Schliem, Dimitrios Zaikis, Roger Wechsler
2025	A*	`conf`	On Understanding Attention-Based In-Context Learning for Categorical Data. ICML Aaron T. Wang, William Convertino, Xiang Cheng, Ricardo Henao, Lawrence Carin
2025	—	`conf`	Proactive Pseudo-Intervention: Pre-informed Contrastive Learning For Interpretable Vision Models. AAAI Bridge Program Dong Wang, Yuewei Yang, Liqun Chen, Zhe Gan, Ricardo Henao, Lawrence Carin
2025	J	`jnl`	Quantum Machine Learning via Contrastive Training. CoRR Liudmila A. Zhukas, Vivian Ni Zhang, Qiang Miao, Qingfeng Wang, Marko Cetina, Jungsang Kim, Lawrence Carin, Christopher Monroe
2024	J	`jnl`	Graph Transformers Dream of Electric Flow. CoRR Xiang Cheng, Lawrence Carin, Suvrit Sra
2024	A	`conf`	Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. WACV Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin
2024	J	`jnl`	Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. IEEE Trans. Neural Networks Learn. Syst. Hao Zhang, Yulai Cong, Zhengjue Wang, Lei Zhang, Miaoyun Zhao, Liqun Chen, Shijing Si, Ricardo Henao, Lawrence Carin
2024	J	`jnl`	Transformer In-Context Learning for Categorical Data. CoRR Aaron T. Wang, Ricardo Henao, Lawrence Carin
2023	J	`jnl`	Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Trans. Neural Networks Learn. Syst. Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Irfan Khan, Karen Chandross, Michael J. Pencina, Lawrence Carin, Ricardo Henao
2023	J	`jnl`	Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. Dixin Luo, Hongteng Xu, Lawrence Carin
2023	J	`jnl`	Learning Hierarchical Document Graphs From Multilevel Sentence Relations. IEEE Trans. Neural Networks Learn. Syst. Hao Zhang, Chaojie Wang, Zhengjue Wang, Zhibin Duan, Bo Chen, Mingyuan Zhou, Ricardo Henao, Lawrence Carin
2023	J	`jnl`	Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. CoRR Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin
2023	J	`jnl`	Open World Classification with Adaptive Negative Samples. CoRR Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin
2023	A	`conf`	Pushing the Efficiency Limit Using Structured Sparse Convolutions. WACV Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
2023	J	`jnl`	Representing Graphs via Gromov-Wasserstein Factorization. IEEE Trans. Pattern Anal. Mach. Intell. Hongteng Xu, Jiachang Liu, Dixin Luo, Lawrence Carin
2022	J	`jnl`	An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors. Nat. Mach. Intell. 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
2022	J	`jnl`	Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations. CoRR Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao
2022	A	`conf`	Capturing actionable dynamics with structured latent ordinary differential equations. UAI Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao
2022	J	`jnl`	Collaborative Anomaly Detection. CoRR Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin
2022	J	`jnl`	Explainable multiple abnormality classification of chest CT volumes. Artif. Intell. Medicine Rachel Lea Draelos, Lawrence Carin
2022	A*	`conf`	Gradient Importance Learning for Incomplete Observations. ICLR Qitong Gao, Dong Wang, Joshua David Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
2022	A	`conf`	Improving Downstream Task Performance by Treating Numbers as Entities. CIKM Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin
2022	A	`conf`	Learning to Weight Filter Groups for Robust Classification. WACV Siyang Yuan, Yitong Li, Dong Wang, Ke Bai, Lawrence Carin, David E. Carlson
2022	J	`jnl`	Number Entity Recognition. CoRR Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin
2022	A*	`conf`	Open World Classification with Adaptive Negative Samples. EMNLP Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin
2022	J	`jnl`	Pseudo-OOD training for robust language models. CoRR Dhanasekar Sundararaman, Nikhil Mehta, Lawrence Carin
2022	J	`jnl`	Pushing the Efficiency Limit Using Structured Sparse Convolutions. CoRR Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
2022	A*	`conf`	Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. NeurIPS Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Jing Huang, Lawrence Carin, Fan Li, Chenyang Tao
2022	J	`jnl`	WAFFLe: Weight Anonymized Factorization for Federated Learning. IEEE Access Weituo Hao, Nikhil Mehta, Kevin J. Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin
2022	—	`conf`	What Makes Good In-Context Examples for GPT-3? DeeLIO@ACL Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen
2022	J	`jnl`	elBERto: Self-supervised Commonsense Learning for Question Answering. CoRR Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin
2022	J	`jnl`	elBERto: Self-supervised commonsense learning for question answering. Knowl. Based Syst. Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin
2021	—	`conf`	APo-VAE: Text Generation in Hyperbolic Space. NAACL-HLT Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu
2021	—	`conf`	Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. CHIL David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin
2021	A*	`conf`	CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks. NeurIPS Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai
2021	A	`conf`	Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors. AISTATS Nikhil Mehta, Kevin J. Liang, Vinay Kumar Verma, Lawrence Carin
2021	A	`conf`	Counterfactual Representation Learning with Balancing Weights. AISTATS Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin
2021	J	`jnl`	Efficient Continual Adaptation for Generative Adversarial Networks. CoRR Sakshi Varshney, Vinay Kumar Verma, Lawrence Carin, Piyush Rai
2021	A*	`conf`	Efficient Feature Transformations for Discriminative and Generative Continual Learning. CVPR Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin
2021	J	`jnl`	Efficient Feature Transformations for Discriminative and Generative Continual Learning. CoRR Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin
2021	—	`conf`	Enabling counterfactual survival analysis with balanced representations. CHIL Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao
2021	J	`jnl`	Explainable multiple abnormality classification of chest CT volumes with AxialNet and HiResCAM. CoRR Rachel Lea Draelos, Lawrence Carin
2021	A*	`conf`	FLOP: Federated Learning on Medical Datasets using Partial Networks. KDD Qian Yang, Jianyi Zhang, Weituo Hao, Gregory P. Spell, Lawrence Carin
2021	J	`jnl`	FLOP: Federated Learning on Medical Datasets using Partial Networks. CoRR Qian Yang, Jianyi Zhang, Weituo Hao, Gregory Spell, Lawrence Carin
2021	A*	`conf`	FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. ICLR Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin
2021	J	`jnl`	FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. CoRR Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin
2021	J	`jnl`	Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping. CoRR Junya Chen, Sijia Wang, Lawrence Carin, Chenyang Tao
2021	A*	`conf`	GO Hessian for Expectation-Based Objectives. AAAI Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin
2021	J	`jnl`	Hölder Bounds for Sensitivity Analysis in Causal Reasoning. CoRR Serge Assaad, Shuxi Zeng, Henry D. Pfister, Fan Li, Lawrence Carin
2021	A*	`conf`	Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning. ICLR Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin
2021	J	`jnl`	Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning. CoRR Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin
2021	J	`jnl`	Imputation-Free Learning from Incomplete Observations. CoRR Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
2021	A*	`conf`	Learning Graphons via Structured Gromov-Wasserstein Barycenters. AAAI Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha
2021	—	`conf`	Learning Task Sampling Policy for Multitask Learning. EMNLP (Findings) Dhanasekar Sundararaman, Henry Tsai, Kuang-Huei Lee, Iulia Turc, Lawrence Carin
2021	J	`jnl`	Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Medical Image Anal. Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin
2021	J	`jnl`	Malignancy Prediction and Lesion Identification from Clinical Dermatological Images. CoRR Meng Xia, Meenal K. Kheterpal, Samantha C. Wong, Christine Park, William Ratliff, Lawrence Carin, Ricardo Henao
2021	J	`jnl`	Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning. CoRR Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Lawrence Carin
2021	A*	`conf`	MixKD: Towards Efficient Distillation of Large-scale Language Models. ICLR Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin
2021	J	`jnl`	Reinforcement Learning for Flexibility Design Problems. CoRR Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin
2021	J	`jnl`	Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE. CoRR 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
2021	—	`conf`	SpanPredict: Extraction of Predictive Document Spans with Neural Attention. NAACL-HLT Vivek Subramanian, Matthew Engelhard, Samuel Berchuck, Liqun Chen, Ricardo Henao, Lawrence Carin
2021	A*	`conf`	Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. NeurIPS Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
2021	—	`conf`	Syntactic Knowledge-Infused Transformer and BERT Models. CIKM Workshops Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
2021	J	`jnl`	Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. CoRR Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao
2021	—	`conf`	Towards Fair Federated Learning With Zero-Shot Data Augmentation. CVPR Workshops Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin
2021	J	`jnl`	Towards Fair Federated Learning with Zero-Shot Data Augmentation. CoRR Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin
2021	J	`jnl`	Variational Inference with Holder Bounds. CoRR Junya Chen, Danni Lu, Zidi Xiu, Ke Bai, Lawrence Carin, Chenyang Tao
2021	A*	`conf`	Wasserstein Contrastive Representation Distillation. CVPR Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin
2021	J	`jnl`	Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images. Medical Image Anal. David Dov, Shahar Z. Kovalsky, Serge Assaad, Jonathan Cohen, Danielle Elliott Range, Avani A. Pendse, Ricardo Henao, Lawrence Carin
2021	J	`jnl`	What Makes Good In-Context Examples for GPT-3? CoRR Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen
2021	A	`conf`	Zero-Shot Recognition via Optimal Transport. WACV Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin
2020	J	`jnl`	APo-VAE: Text Generation in Hyperbolic Space. CoRR Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu
2020	A	`conf`	Adaptation Across Extreme Variations using Unlabeled Bridges. BMVC Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker
2020	A	`conf`	Advancing weakly supervised cross-domain alignment with optimal transport. BMVC Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
2020	—	`conf`	An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets. EMNLP (1) Gregory Spell, Brian Guay, Sunshine Hillygus, Lawrence Carin
2020	A*	`conf`	AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning. NeurIPS Hao Zhang, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing
2020	J	`jnl`	Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images. CoRR John B. Sigman, Gregory P. Spell, Kevin J. Liang, Lawrence Carin
2020	J	`jnl`	Bayesian Nonparametric Weight Factorization for Continual Learning. CoRR Nikhil Mehta, Kevin J. Liang, Lawrence Carin
2020	A*	`conf`	Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. AAAI Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin
2020	J	`jnl`	Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. CoRR Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin
2020	A*	`conf`	CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information. ICML Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin
2020	J	`jnl`	CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information. CoRR Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin
2020	A*	`conf`	Calibrating CNNs for Lifelong Learning. NeurIPS Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, Lawrence Carin, Piyush Rai
2020	A*	`conf`	Complementary Auxiliary Classifiers for Label-Conditional Text Generation. AAAI Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao
2020	—	`conf`	Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. ACCV (4) Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin
2020	J	`jnl`	Counterfactual Representation Learning with Balancing Weights. CoRR Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin
2020	J	`jnl`	Double Robust Representation Learning for Counterfactual Prediction. CoRR Shuxi Zeng, Serge Assaad, Chenyang Tao, Shounak Datta, Lawrence Carin, Fan Li
2020	A*	`conf`	Dynamic Embedding on Textual Networks via a Gaussian Process. AAAI Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Chen, David E. Carlson, Lawrence Carin
2020	A*	`conf`	Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction. CVPR Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar
2020	J	`jnl`	Estimating Total Correlation with Mutual Information Bounds. CoRR Pengyu Cheng, Weituo Hao, Lawrence Carin
2020	J	`jnl`	Faster On-Device Training Using New Federated Momentum Algorithm. CoRR Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin, Heng Huang
2020	A*	`conf`	GAN Memory with No Forgetting. NeurIPS Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin
2020	J	`jnl`	GAN Memory with No Forgetting. CoRR Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin
2020	J	`jnl`	GO Hessian for Expectation-Based Objectives. CoRR Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin
2020	A*	`conf`	Graph Optimal Transport for Cross-Domain Alignment. ICML Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu
2020	J	`jnl`	Graph Optimal Transport for Cross-Domain Alignment. CoRR Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu
2020	A*	`conf`	Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. AAAI Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
2020	J	`jnl`	HiResCAM: Explainable Multi-Organ Multi-Abnormality Prediction in 3D Medical Images. CoRR Rachel Lea Draelos, Lawrence Carin
2020	J	`jnl`	Hierarchical Optimal Transport for Robust Multi-View Learning. CoRR Dixin Luo, Hongteng Xu, Lawrence Carin
2020	A*	`conf`	Improving Adversarial Text Generation by Modeling the Distant Future. ACL Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
2020	J	`jnl`	Improving Adversarial Text Generation by Modeling the Distant Future. CoRR Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
2020	A*	`conf`	Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. ACL Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin
2020	J	`jnl`	Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. CoRR Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin
2020	—	`conf`	Improving Text Generation with Student-Forcing Optimal Transport. EMNLP (1) 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
2020	J	`jnl`	Improving Text Generation with Student-Forcing Optimal Transport. CoRR 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
2020	—	`conf`	Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning. EMNLP (Findings) Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao
2020	A*	`conf`	Learning Autoencoders with Relational Regularization. ICML Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin
2020	J	`jnl`	Learning Autoencoders with Relational Regularization. CoRR Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin
2020	J	`jnl`	Learning Graphons via Structured Gromov-Wasserstein Barycenters. CoRR Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha
2020	J	`jnl`	Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes. CoRR Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin
2020	—	`conf`	Methods for Numeracy-Preserving Word Embeddings. EMNLP (1) Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin
2020	J	`jnl`	MixKD: Towards Efficient Distillation of Large-scale Language Models. CoRR Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin
2020	A	`conf`	Nested-Wasserstein Self-Imitation Learning for Sequence Generation. AISTATS Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
2020	J	`jnl`	Nested-Wasserstein Self-Imitation Learning for Sequence Generation. CoRR Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
2020	A	`conf`	Object Detection as a Positive-Unlabeled Problem. BMVC Yuewei Yang, Kevin J. Liang, Lawrence Carin
2020	J	`jnl`	Object Detection as a Positive-Unlabeled Problem. CoRR Yuewei Yang, Kevin J. Liang, Lawrence Carin
2020	A*	`conf`	On Leveraging Pretrained GANs for Generation with Limited Data. ICML Miaoyun Zhao, Yulai Cong, Lawrence Carin
2020	J	`jnl`	On Leveraging Pretrained GANs for Limited-Data Generation. CoRR Miaoyun Zhao, Yulai Cong, Lawrence Carin
2020	A*	`conf`	Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. NeurIPS Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen
2020	J	`jnl`	Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. CoRR Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen
2020	J	`jnl`	Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models. CoRR Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin
2020	A*	`conf`	RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering. ICLR Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin
2020	A*	`conf`	Reconsidering Generative Objectives For Counterfactual Reasoning. NeurIPS Danni Lu, Chenyang Tao, Junya Chen, Fan Li, Feng Guo, Lawrence Carin
2020	J	`jnl`	RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure. CoRR Shounak Datta, Eduardo B. Mariottoni, David Dov, Alessandro A. Jammal, Lawrence Carin, Felipe A. Medeiros
2020	J	`jnl`	Reward Constrained Interactive Recommendation with Natural Language Feedback. CoRR Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin
2020	—	`conf`	Scalable Control Variates for Monte Carlo Methods Via Stochastic Optimization. MCQMC Shijing Si, Chris J. Oates, Andrew B. Duncan, Lawrence Carin, François-Xavier Briol
2020	J	`jnl`	Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization. CoRR Shijing Si, Chris J. Oates, Andrew B. Duncan, Lawrence Carin, François-Xavier Briol
2020	—	`conf`	Semantic Matching via Optimal Partial Transport. EMNLP (Findings) Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin
2020	A*	`conf`	Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. AAAI Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin
2020	A	`conf`	Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory. AISTATS Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, Changyou Chen
2020	—	`conf`	Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage. MLHC Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Lawrence Carin
2020	J	`jnl`	Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage. CoRR Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin
2020	J	`jnl`	Supercharging Imbalanced Data Learning With Causal Representation Transfer. CoRR Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
2020	J	`jnl`	Survival Analysis meets Counterfactual Inference. CoRR Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao
2020	J	`jnl`	Survival Cluster Analysis. CoRR Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao
2020	—	`conf`	Survival cluster analysis. CHIL Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao
2020	A*	`conf`	Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training. CVPR Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao
2020	J	`jnl`	Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training. CoRR Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao
2020	J	`jnl`	Towards Practical Lottery Ticket Hypothesis for Adversarial Training. CoRR Bai Li, Shiqi Wang, Yunhan Jia, Yantao Lu, Zhenyu Zhong, Lawrence Carin, Suman Jana
2020	J	`jnl`	Towards Understanding Fast Adversarial Training. CoRR Bai Li, Shiqi Wang, Suman Jana, Lawrence Carin
2020	A*	`conf`	Transferable Perturbations of Deep Feature Distributions. ICLR Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen
2020	J	`jnl`	Transferable Perturbations of Deep Feature Distributions. CoRR Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen
2020	J	`jnl`	WAFFLe: Weight Anonymized Factorization for Federated Learning. CoRR Weituo Hao, Nikhil Mehta, Kevin J. Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin
2020	J	`jnl`	Wasserstein Contrastive Representation Distillation. CoRR Liqun Chen, Zhe Gan, Dong Wang, Jingjing Liu, Ricardo Henao, Lawrence Carin
2020	J	`jnl`	Weakly supervised cross-domain alignment with optimal transport. CoRR Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
2020	—	`conf`	Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations. EMBC John McManigle, Raquel Bartz, Lawrence Carin
2020	J	`jnl`	Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations. CoRR John McManigle, Raquel Bartz, Lawrence Carin
2019	J	`jnl`	A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images. CoRR David Dov, Shahar Ziv Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC. Sci. China Inf. Sci. Changyou Chen, Wenlin Wang, Yizhe Zhang, Qinliang Su, Lawrence Carin
2019	J	`jnl`	Adaptation Across Extreme Variations using Unlabeled Domain Bridges. CoRR Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker
2019	A	`conf`	Adversarial Learning of a Sampler Based on an Unnormalized Distribution. AISTATS Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
2019	J	`jnl`	Adversarial Learning of a Sampler Based on an Unnormalized Distribution. CoRR Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
2019	J	`jnl`	Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes. CoRR Dixin Luo, Hongteng Xu, Lawrence Carin
2019	—	`conf`	An End-to-End Generative Architecture for Paraphrase Generation. EMNLP/IJCNLP (1) Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin
2019	J	`jnl`	An Optimal Transport Framework for Zero-Shot Learning. CoRR Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin
2019	A*	`conf`	Certified Adversarial Robustness with Additive Noise. NeurIPS Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
2019	J	`jnl`	Collaborative Filtering with A Synthetic Feedback Loop. CoRR Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin
2019	A*	`conf`	Communication-Efficient Stochastic Gradient MCMC for Neural Networks. AAAI Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. CoRR Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin
2019	—	`conf`	Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. NAACL-HLT (1) Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin
2019	J	`jnl`	Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. CoRR Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin
2019	J	`jnl`	Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction. CoRR Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar
2019	J	`jnl`	Fused Gromov-Wasserstein Alignment for Hawkes Processes. CoRR Dixin Luo, Hongteng Xu, Lawrence Carin
2019	—	`conf`	GO Gradient for Expectation-Based Objectives. ICLR (Poster) Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin
2019	J	`jnl`	GO Gradient for Expectation-Based Objectives. CoRR Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin
2019	J	`jnl`	Gaussian-Process-Based Dynamic Embedding for Textual Networks. CoRR Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Cheng, David E. Carlson, Lawrence Carin
2019	J	`jnl`	Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. CoRR Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
2019	A*	`conf`	Gromov-Wasserstein Learning for Graph Matching and Node Embedding. ICML Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin
2019	J	`jnl`	Gromov-Wasserstein Learning for Graph Matching and Node Embedding. CoRR Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin
2019	—	`conf`	Improving Sequence-to-Sequence Learning via Optimal Transport. ICLR (Poster) Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
2019	J	`jnl`	Improving Sequence-to-Sequence Learning via Optimal Transport. CoRR Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
2019	—	`conf`	Improving Textual Network Embedding with Global Attention via Optimal Transport. ACL (1) Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
2019	J	`jnl`	Improving Textual Network Embedding with Global Attention via Optimal Transport. CoRR Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
2019	A*	`conf`	Improving Textual Network Learning with Variational Homophilic Embeddings. NeurIPS Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Improving Textual Network Learning with Variational Homophilic Embeddings. CoRR Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms. CoRR Dixin Luo, Hongteng Xu, Lawrence Carin
2019	A*	`conf`	Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. NeurIPS Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. CoRR Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	LMVP: Video Predictor with Leaked Motion Information. CoRR Dong Wang, Yitong Li, Wei Cao, Liqun Chen, Qi Wei, Lawrence Carin
2019	—	`conf`	Learning Compressed Sentence Representations for On-Device Text Processing. ACL (1) Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin
2019	J	`jnl`	Learning Compressed Sentence Representations for On-Device Text Processing. CoRR Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin
2019	A	`conf`	On Connecting Stochastic Gradient MCMC and Differential Privacy. AISTATS Bai Li, Changyou Chen, Hao Liu, Lawrence Carin
2019	A*	`conf`	On Fenchel Mini-Max Learning. NeurIPS Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy V. Bobashev, Lawrence Carin
2019	J	`jnl`	On Norm-Agnostic Robustness of Adversarial Training. CoRR Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
2019	A*	`conf`	Ouroboros: On Accelerating Training of Transformer-Based Language Models. NeurIPS Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin
2019	J	`jnl`	Ouroboros: On Accelerating Training of Transformer-Based Language Models. CoRR Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin
2019	A*	`conf`	Revisiting the Softmax Bellman Operator: New Benefits and New Perspective. ICML Zhao Song, Ronald Parr, Lawrence Carin
2019	A*	`conf`	Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching. NeurIPS Hongteng Xu, Dixin Luo, Lawrence Carin
2019	J	`jnl`	Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching. CoRR Hongteng Xu, Dixin Luo, Lawrence Carin
2019	A	`conf`	Scalable Thompson Sampling via Optimal Transport. AISTATS Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin
2019	J	`jnl`	Scalable Thompson Sampling via Optimal Transport. CoRR Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin
2019	A*	`conf`	Stochastic Blockmodels meet Graph Neural Networks. ICML Nikhil Mehta, Lawrence Carin, Piyush Rai
2019	J	`jnl`	Stochastic Blockmodels meet Graph Neural Networks. CoRR Nikhil Mehta, Lawrence Carin, Piyush Rai
2019	A*	`conf`	StoryGAN: A Sequential Conditional GAN for Story Visualization. CVPR Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao
2019	J	`jnl`	Straight-Through Estimator as Projected Wasserstein Gradient Flow. CoRR Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Survival Function Matching for Calibrated Time-to-Event Predictions. CoRR Paidamoyo Chapfuwa, Chenyang Tao, Lawrence Carin, Ricardo Henao
2019	J	`jnl`	Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. CoRR Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
2019	—	`conf`	Syntax-Infused Variational Autoencoder for Text Generation. ACL (1) Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin
2019	J	`jnl`	Syntax-Infused Variational Autoencoder for Text Generation. CoRR Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin
2019	—	`conf`	Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. MLHC David Dov, Shahar Z. Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. CoRR David Dov, Shahar Ziv Kovalsky, Jonathan Cohen, Danielle Range, Ricardo Henao, Lawrence Carin
2019	—	`conf`	Topic-Guided Variational Auto-Encoder for Text Generation. NAACL-HLT (1) Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
2019	J	`jnl`	Topic-Guided Variational Autoencoders for Text Generation. CoRR Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
2019	J	`jnl`	Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection. CoRR Kevin J. Liang, John B. Sigman, Gregory P. Spell, Dan Strellis, William Chang, Felix Liu, Tejas Mehta, Lawrence Carin
2019	J	`jnl`	Towards Amortized Ranking-Critical Training for Collaborative Filtering. CoRR Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin
2019	—	`conf`	Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. ACL (1) Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin
2019	J	`jnl`	Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. CoRR Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin
2019	A*	`conf`	Variational Annealing of GANs: A Langevin Perspective. ICML Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin
2018	J	`jnl`	Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference. CoRR Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin
2018	A*	`conf`	Adaptive Feature Abstraction for Translating Video to Text. AAAI Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin
2018	A*	`conf`	Adversarial Text Generation via Feature-Mover's Distance. NeurIPS Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin
2018	J	`jnl`	Adversarial Text Generation via Feature-Mover's Distance. CoRR Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin
2018	A*	`conf`	Adversarial Time-to-Event Modeling. ICML Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
2018	J	`jnl`	Adversarial Time-to-Event Modeling. CoRR Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
2018	—	`conf`	Anomaly detection for medical images based on a one-class classification. Computer-Aided Diagnosis Qi Wei, Yinhao Ren, Rui Hou, Bibo Shi, Joseph Y. Lo, Lawrence Carin
2018	—	`conf`	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. ACL (1) Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. CoRR Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
2018	A	`conf`	Benefits from Superposed Hawkes Processes. AISTATS Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin
2018	A*	`conf`	Chi-square Generative Adversarial Network. ICML Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin
2018	A*	`conf`	Continuous-Time Flows for Efficient Inference and Density Estimation. ICML Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin
2018	A*	`conf`	Deconvolutional Latent-Variable Model for Text Sequence Matching. AAAI Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin
2018	A*	`conf`	Diffusion Maps for Textual Network Embedding. NeurIPS Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin
2018	J	`jnl`	Diffusion Maps for Textual Network Embedding. CoRR Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin
2018	A*	`conf`	Distilled Wasserstein Learning for Word Embedding and Topic Modeling. NeurIPS Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin
2018	J	`jnl`	Distilled Wasserstein Learning for Word Embedding and Topic Modeling. CoRR Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin
2018	J	`jnl`	Generative Adversarial Network Training is a Continual Learning Problem. CoRR Kevin J. Liang, Chunyuan Li, Guoyin Wang, Lawrence Carin
2018	A*	`conf`	Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. EMNLP Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. CoRR Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
2018	—	`conf`	Joint Embedding of Words and Labels for Text Classification. ACL (1) Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	Joint Embedding of Words and Labels for Text Classification. CoRR Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
2018	A*	`conf`	JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. ICML Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. CoRR Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin
2018	A*	`conf`	Learning Context-Aware Convolutional Filters for Text Processing. EMNLP Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin
2018	A*	`conf`	Learning Registered Point Processes from Idiosyncratic Observations. ICML Hongteng Xu, Lawrence Carin, Hongyuan Zha
2018	A	`conf`	Learning Structural Weight Uncertainty for Sequential Decision-Making. AISTATS Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin
2018	J	`jnl`	Learning Structural Weight Uncertainty for Sequential Decision-Making. CoRR Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin
2018	—	`conf`	Multi-Label Learning from Medical Plain Text with Convolutional Residual Models. MLHC Xinyuan Zhang, Ricardo Henao, Zhe Gan, Yitong Li, Lawrence Carin
2018	J	`jnl`	Multi-Label Learning from Medical Plain Text with Convolutional Residual Models. CoRR Xinyuan Zhang, Ricardo Henao, Zhe Gan, Yitong Li, Lawrence Carin
2018	—	`conf`	NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. ACL (1) Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. CoRR Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
2018	A*	`conf`	Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration. CVPR Xinyuan Zhang, Xin Yuan, Lawrence Carin
2018	J	`jnl`	Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration. CoRR Xinyuan Zhang, Xin Yuan, Lawrence Carin
2018	A*	`conf`	Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes. IJCAI Hongteng Xu, Dixin Luo, Lawrence Carin
2018	A*	`conf`	Policy Optimization as Wasserstein Gradient Flows. ICML Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin
2018	J	`jnl`	Policy Optimization as Wasserstein Gradient Flows. CoRR Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin
2018	—	`conf`	Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model. MLHC Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon
2018	J	`jnl`	Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model. CoRR Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon
2018	J	`jnl`	Revisiting the Softmax Bellman Operator: Theoretical Properties and Practical Benefits. CoRR Zhao Song, Ronald E. Parr, Lawrence Carin
2018	J	`jnl`	Second-Order Adversarial Attack and Certifiable Robustness. CoRR Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
2018	J	`jnl`	Sequence Generation with Guider Network. CoRR Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin
2018	J	`jnl`	StoryGAN: A Sequential Conditional GAN for Story Visualization. CoRR Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao
2018	A	`conf`	Symmetric Variational Autoencoder and Connections to Adversarial Learning. AISTATS Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin
2018	Misc	`conf`	The Duke Health Data Science Internship Program: Integrating the Educational Mission into Real-World Research. AMIA 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
2018	A	`conf`	Topic Compositional Neural Language Model. AISTATS Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin
2018	A*	`conf`	Variational Inference and Model Selection with Generalized Evidence Bounds. ICML Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin
2018	A*	`conf`	Video Generation From Text. AAAI Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin
2018	A*	`conf`	Zero-Shot Learning via Class-Conditioned Deep Generative Models. AAAI Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
2017	—	`conf`	A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. NIPS Qinliang Su, Xuejun Liao, Lawrence Carin
2017	J	`jnl`	A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. CoRR Qinliang Su, Xuejun Liao, Lawrence Carin
2017	—	`conf`	ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching. NIPS Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
2017	J	`jnl`	Adaptive Convolutional Filter Generation for Natural Language Understanding. CoRR Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin
2017	—	`conf`	Adaptive Feature Abstraction for Translating Video to Language. ICLR (Workshop) Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin
2017	A*	`conf`	Adversarial Feature Matching for Text Generation. ICML Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin
2017	J	`jnl`	Adversarial Feature Matching for Text Generation. CoRR Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin
2017	—	`conf`	Adversarial Symmetric Variational Autoencoder. NIPS Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin
2017	J	`jnl`	Adversarial Symmetric Variational Autoencoder. CoRR Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin
2017	—	`conf`	An inner-loop free solution to inverse problems using deep neural networks. NIPS Kai Fan, Qi Wei, Lawrence Carin, Katherine A. Heller
2017	J	`jnl`	An inner-loop free solution to inverse problems using deep neural networks. CoRR Qi Wei, Kai Fan, Lawrence Carin, Katherine A. Heller
2017	J	`jnl`	Compressive Sensing via Convolutional Factor Analysis. CoRR Xin Yuan, Yunchen Pu, Lawrence Carin
2017	—	`conf`	Cross-Spectral Factor Analysis. NIPS Neil Gallagher, Kyle R. Ulrich, Austin Talbot, Kafui Dzirasa, Lawrence Carin, David E. Carlson
2017	J	`jnl`	Deconvolutional Latent-Variable Model for Text Sequence Matching. CoRR Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin
2017	—	`conf`	Deconvolutional Paragraph Representation Learning. NIPS Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin
2017	J	`jnl`	Deconvolutional Paragraph Representation Learning. CoRR Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin
2017	A*	`conf`	Deep Generative Models for Relational Data with Side Information. ICML Changwei Hu, Piyush Rai, Lawrence Carin
2017	A*	`conf`	Evaluating U.S. Electoral Representation with a Joint Statistical Model of Congressional Roll-Calls, Legislative Text, and Voter Registration Data. KDD Zhengming Xing, Sunshine Hillygus, Lawrence Carin
2017	Misc	`conf`	Guiding Principles for the Duke Connected Care Predictive Modeling Pilot. AMIA 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
2017	J	`jnl`	Information-Theoretic Compressive Measurement Design. IEEE Trans. Pattern Anal. Mach. Intell. Liming Wang, Minhua Chen, Miguel R. D. Rodrigues, David Wilcox, A. Robert Calderbank, Lawrence Carin
2017	J	`jnl`	Joint System and Algorithm Design for Computationally Efficient Fan Beam Coded Aperture X-Ray Coherent Scatter Imaging. IEEE Trans. Computational Imaging 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
2017	A*	`conf`	Learning Generic Sentence Representations Using Convolutional Neural Networks. EMNLP Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin
2017	A	`conf`	Learning Structured Weight Uncertainty in Bayesian Neural Networks. AISTATS Shengyang Sun, Changyou Chen, Lawrence Carin
2017	J	`jnl`	On Connecting Stochastic Gradient MCMC and Differential Privacy. CoRR Bai Li, Changyou Chen, Hao Liu, Lawrence Carin
2017	Misc	`conf`	Rationale and Design for the Duke Connected Care Predictive Modeling Pilot with a Medicare Shared Savings Program Population. AMIA Shelley A. Rusincovitch, Ricardo Henao, Michael Gao, Lawrence Carin, Ursula Rogers, Nigel B. Neely, Mary Schilder, Daniel Costello, Eugenie Komives, Erich Huang
2017	—	`conf`	Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. ACL (1) Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
2017	—	`conf`	Scalable Model Selection for Belief Networks. NIPS Zhao Song, Yusuke Muraoka, Ryohei Fujimaki, Lawrence Carin
2017	A*	`conf`	Semantic Compositional Networks for Visual Captioning. CVPR Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng
2017	J	`jnl`	Stein Variational Autoencoder. CoRR Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin
2017	A*	`conf`	Stochastic Gradient Monomial Gamma Sampler. ICML Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin
2017	J	`jnl`	Stochastic Gradient Monomial Gamma Sampler. CoRR Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin
2017	J	`jnl`	Symmetric Variational Autoencoder and Connections to Adversarial Learning. CoRR Yunchen Pu, Liqun Chen, Shuyang Dai, Weiyao Wang, Chunyuan Li, Lawrence Carin
2017	—	`conf`	Targeting EEG/LFP Synchrony with Neural Nets. NIPS Yitong Li, Michael Murias, Samantha Major, Geraldine Dawson, Kafui Dzirasa, Lawrence Carin, David E. Carlson
2017	A	`conf`	Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis. AISTATS Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin
2017	J	`jnl`	Topic Compositional Neural Language Model. CoRR Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin
2017	J	`jnl`	Towards Understanding Adversarial Learning for Joint Distribution Matching. CoRR Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
2017	—	`conf`	Triangle Generative Adversarial Networks. NIPS Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin
2017	J	`jnl`	Triangle Generative Adversarial Networks. CoRR Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin
2017	A*	`conf`	Unsupervised Learning with Truncated Gaussian Graphical Models. AAAI Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin
2017	—	`conf`	VAE Learning via Stein Variational Gradient Descent. NIPS Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin
2017	J	`jnl`	Video Generation From Text. CoRR Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin
2017	J	`jnl`	Zero-Shot Learning via Class-Conditioned Deep Generative Models. CoRR Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
2016	A	`conf`	A Deep Generative Deconvolutional Image Model. AISTATS Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin
2016	Misc	`conf`	A general framework for reconstruction and classification from compressive measurements with side information. ICASSP Liming Wang, Francesco Renna, Xin Yuan, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
2016	J	`jnl`	Adaptive Feature Abstraction for Translating Video to Language. CoRR Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin
2016	A*	`conf`	Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks. IJCAI Yizhe Zhang, Ricardo Henao, Chunyuan Li, Lawrence Carin
2016	A	`conf`	Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization. AISTATS Changyou Chen, David E. Carlson, Zhe Gan, Chunyuan Li, Lawrence Carin
2016	J	`jnl`	Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information. IEEE Trans. Inf. Theory Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues
2016	J	`jnl`	Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world. IEEE Signal Process. Mag. Xun Cao, Tao Yue, Xing Lin, Stephen Lin, Xin Yuan, Qionghai Dai, Lawrence Carin, David J. Brady
2016	—	`conf`	Deep Metric Learning with Data Summarization. ECML/PKDD (1) Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin
2016	J	`jnl`	Deep Overcomplete Tensor Rank-Decompositions. CoRR Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin
2016	A*	`conf`	Dynamic Poisson Factor Analysis. ICDM Yizhe Zhang, Yue Zhao, Lawrence David, Ricardo Henao, Lawrence Carin
2016	J	`jnl`	Earliness-Aware Deep Convolutional Networks for Early Time Series Classification. CoRR Wenlin Wang, Changyou Chen, Wenqi Wang, Piyush Rai, Lawrence Carin
2016	J	`jnl`	Electronic Health Record Analysis via Deep Poisson Factor Models. J. Mach. Learn. Res. Ricardo Henao, James Lu, Joseph E. Lucas, Jeffrey M. Ferranti, Lawrence Carin
2016	A*	`conf`	Factored Temporal Sigmoid Belief Networks for Sequence Learning. ICML Jiaming Song, Zhe Gan, Lawrence Carin
2016	J	`jnl`	Factored Temporal Sigmoid Belief Networks for Sequence Learning. CoRR Jiaming Song, Zhe Gan, Lawrence Carin
2016	A*	`conf`	High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models. AAAI Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin
2016	—	`ch.`	Inference of gene networks associated with the host response to infectious disease. Big Data over Networks Zhe Gan, Xin Yuan, Ricardo Henao, Ephraim L. Tsalik, Lawrence Carin
2016	J	`jnl`	Joint System and Algorithm Design for Computationally Efficient Fan Beam Coded Aperture X-ray Coherent Scatter Imaging. CoRR 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
2016	—	`conf`	Laplacian Hamiltonian Monte Carlo. ECML/PKDD (1) Yizhe Zhang, Changyou Chen, Ricardo Henao, Lawrence Carin
2016	A	`conf`	Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization. AISTATS Zhao Song, Ricardo Henao, David E. Carlson, Lawrence Carin
2016	A*	`conf`	Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification. CVPR Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan, Lawrence Carin
2016	A*	`conf`	Learning a Hybrid Architecture for Sequence Regression and Annotation. AAAI Yizhe Zhang, Ricardo Henao, Lawrence Carin, Jianling Zhong, Alexander J. Hartemink
2016	—	`conf`	Linear Feature Encoding for Reinforcement Learning. NIPS Zhao Song, Ronald E. Parr, Xuejun Liao, Lawrence Carin
2016	A	`conf`	Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information. AISTATS Changwei Hu, Piyush Rai, Lawrence Carin
2016	A*	`conf`	Nonlinear Statistical Learning with Truncated Gaussian Graphical Models. ICML Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin
2016	A	`conf`	Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization. AISTATS Yan Kaganovsky, Ikenna Odinaka, David E. Carlson, Lawrence Carin
2016	A*	`conf`	Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks. AAAI Chunyuan Li, Changyou Chen, David E. Carlson, Lawrence Carin
2016	J	`jnl`	Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. CoRR Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
2016	J	`jnl`	Semantic Compositional Networks for Visual Captioning. CoRR Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng
2016	—	`conf`	Solving DEC-POMDPs by Expectation Maximization of Value Function. AAAI Spring Symposia Zhao Song, Xuejun Liao, Lawrence Carin
2016	J	`jnl`	Spectrally Grouped Total Variation Reconstruction for Scatter Imaging Using ADMM. CoRR Ikenna Odinaka, Yan Kaganovsky, Joel A. Greenberg, Mehadi Hassan, David G. Politte, Joseph A. O'Sullivan, Lawrence Carin, David J. Brady
2016	—	`conf`	Stochastic Gradient MCMC with Stale Gradients. NIPS Changyou Chen, Nan Ding, Chunyuan Li, Yizhe Zhang, Lawrence Carin
2016	J	`jnl`	Stochastic Gradient MCMC with Stale Gradients. CoRR Changyou Chen, Nan Ding, Chunyuan Li, Yizhe Zhang, Lawrence Carin
2016	J	`jnl`	Stochastic Spectral Descent for Discrete Graphical Models. IEEE J. Sel. Top. Signal Process. David E. Carlson, Ya-Ping Hsieh, Edo Collins, Lawrence Carin, Volkan Cevher
2016	A	`conf`	Topic-Based Embeddings for Learning from Large Knowledge Graphs. AISTATS Changwei Hu, Piyush Rai, Lawrence Carin
2016	—	`conf`	Towards Unifying Hamiltonian Monte Carlo and Slice Sampling. NIPS Yizhe Zhang, Xiangyu Wang, Changyou Chen, Ricardo Henao, Kai Fan, Lawrence Carin
2016	J	`jnl`	Unsupervised Learning of Sentence Representations using Convolutional Neural Networks. CoRR Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin
2016	J	`jnl`	Unsupervised Learning with Truncated Gaussian Graphical Models. CoRR Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin
2016	—	`conf`	Variational Autoencoder for Deep Learning of Images, Labels and Captions. NIPS Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin
2016	J	`jnl`	Variational Autoencoder for Deep Learning of Images, Labels and Captions. CoRR Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin
2016	A	`conf`	Variational Gaussian Copula Inference. AISTATS Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin
2015	J	`jnl`	A Bayesian Nonparametric Approach to Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David M. Blei, Ingrid Daubechies
2015	J	`jnl`	A Deep Generative Deconvolutional Image Model. CoRR Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin
2015	—	`conf`	A Generative Model for Deep Convolutional Learning. ICLR (Workshop) Yunchen Pu, Xin Yuan, Lawrence Carin
2015	A*	`conf`	A Multitask Point Process Predictive Model. ICML Wenzhao Lian, Ricardo Henao, Vinayak A. Rao, Joseph E. Lucas, Lawrence Carin
2015	B	`conf`	A concentration-of-measure inequality for multiple-measurement models. ISIT Liming Wang, Jiaji Huang, Xin Yuan, Volkan Cevher, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
2015	J	`jnl`	Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise. SIAM J. Imaging Sci. Yan Kaganovsky, Shaobo Han, Soysal Degirmenci, David G. Politte, David J. Brady, Joseph A. O'Sullivan, Lawrence Carin
2015	B	`conf`	Alternating minimization algorithm with iteratively reweighted quadratic penalties for compressive transmission tomography. Image Processing Yan Kaganovsky, Soysal Degirmenci, Shaobo Han, Ikenna Odinaka, David G. Politte, David J. Brady, Joseph A. O'Sullivan, Lawrence Carin
2015	J	`jnl`	Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization. CoRR Changyou Chen, David E. Carlson, Zhe Gan, Chunyuan Li, Lawrence Carin
2015	B	`conf`	Classification and reconstruction of compressed GMM signals with side information. ISIT Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues
2015	J	`jnl`	Compressive Hyperspectral Imaging With Side Information. IEEE J. Sel. Top. Signal Process. Xin Yuan, Tsung-Han Tsai, Ruoyu Zhu, Patrick Llull, David J. Brady, Lawrence Carin
2015	J	`jnl`	Compressive Hyperspectral Imaging with Side Information. CoRR Xin Yuan, Tsung-Han Tsai, Ruoyu Zhu, Patrick Llull, David J. Brady, Lawrence Carin
2015	J	`jnl`	Compressive Sensing by Learning a Gaussian Mixture Model From Measurements. IEEE Trans. Image Process. Jianbo Yang, Xuejun Liao, Xin Yuan, Patrick Llull, David J. Brady, Guillermo Sapiro, Lawrence Carin
2015	A*	`conf`	Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision. AAAI Yi Zhen, Piyush Rai, Hongyuan Zha, Lawrence Carin
2015	—	`conf`	Deep Poisson Factor Modeling. NIPS Ricardo Henao, Zhe Gan, James Lu, Lawrence Carin
2015	—	`conf`	Deep Temporal Sigmoid Belief Networks for Sequence Modeling. NIPS Zhe Gan, Chunyuan Li, Ricardo Henao, David E. Carlson, Lawrence Carin
2015	J	`jnl`	Deep Temporal Sigmoid Belief Networks for Sequence Modeling. CoRR Zhe Gan, Chunyuan Li, Ricardo Henao, David E. Carlson, Lawrence Carin
2015	—	`conf`	GP Kernels for Cross-Spectrum Analysis. NIPS Kyle R. Ulrich, David E. Carlson, Kafui Dzirasa, Lawrence Carin
2015	A*	`conf`	Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data. AAAI Wenzhao Lian, Piyush Rai, Esther Salazar, Lawrence Carin
2015	—	`conf`	Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings. NIPS Piyush Rai, Changwei Hu, Ricardo Henao, Lawrence Carin
2015	A	`conf`	Learning Deep Sigmoid Belief Networks with Data Augmentation. AISTATS Zhe Gan, Ricardo Henao, David E. Carlson, Lawrence Carin
2015	A*	`conf`	Leveraging Features and Networks for Probabilistic Tensor Decomposition. AAAI Piyush Rai, Yingjian Wang, Lawrence Carin
2015	J	`jnl`	Multivariate time-series analysis and diffusion maps. Signal Process. Wenzhao Lian, Ronen Talmon, Hitten Zaveri, Lawrence Carin, Ronald R. Coifman
2015	J	`jnl`	Negative Binomial Process Count and Mixture Modeling. IEEE Trans. Pattern Anal. Mach. Intell. Mingyuan Zhou, Lawrence Carin
2015	A*	`conf`	Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood. ICML Xin Yuan, Ricardo Henao, Ephraim Tsalik, Raymond Langley, Lawrence Carin
2015	—	`conf`	On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators. NIPS Changyou Chen, Nan Ding, Lawrence Carin
2015	—	`conf`	Preconditioned Spectral Descent for Deep Learning. NIPS David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher
2015	J	`jnl`	Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure. Neuroinformatics Yanbin Lu, Lawrence Carin, Ronald R. Coifman, William Shain, Badrinath Roysam
2015	J	`jnl`	Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data. CoRR Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin
2015	—	`conf`	Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data. ECML/PKDD (2) Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin
2015	A*	`conf`	Scalable Deep Poisson Factor Analysis for Topic Modeling. ICML Zhe Gan, Changyou Chen, Ricardo Henao, David E. Carlson, Lawrence Carin
2015	A*	`conf`	Scalable Probabilistic Tensor Factorization for Binary and Count Data. IJCAI Piyush Rai, Changwei Hu, Matthew Harding, Lawrence Carin
2015	J	`jnl`	Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements. SIAM J. Imaging Sci. 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
2015	A*	`conf`	Stick-Breaking Policy Learning in Dec-POMDPs. IJCAI Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How
2015	J	`jnl`	Stick-Breaking Policy Learning in Dec-POMDPs. CoRR Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How
2015	A	`conf`	Stochastic Spectral Descent for Restricted Boltzmann Machines. AISTATS David E. Carlson, Volkan Cevher, Lawrence Carin
2015	J	`jnl`	Variational Gaussian Copula Inference. CoRR Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin
2015	A	`conf`	Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. UAI Changwei Hu, Piyush Rai, Lawrence Carin
2015	J	`jnl`	Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. CoRR Changwei Hu, Piyush Rai, Lawrence Carin
2014	J	`jnl`	A Bregman Matrix and the Gradient of Mutual Information for Vector Poisson and Gaussian Channels. IEEE Trans. Inf. Theory Liming Wang, David Edwin Carlson, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
2014	—	`conf`	Analysis of Brain States from Multi-Region LFP Time-Series. NIPS Kyle R. Ulrich, David E. Carlson, Wenzhao Lian, Jana Schaich Borg, Kafui Dzirasa, Lawrence Carin
2014	J	`jnl`	Bayesian Deep Deconvolutional Learning. CoRR Yunchen Pu, Xin Yuan, Lawrence Carin
2014	—	`conf`	Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling. NIPS Ricardo Henao, Xin Yuan, Lawrence Carin
2014	J	`jnl`	Bayesian joint analysis of heterogeneous genomics data. Bioinform. Priyadip Ray, Lingling Zheng, Joseph E. Lucas, Lawrence Carin
2014	J	`jnl`	Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information. CoRR Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues
2014	J	`jnl`	Compressive Coded Aperture Spectral Imaging: An Introduction. IEEE Signal Process. Mag. Gonzalo R. Arce, David J. Brady, Lawrence Carin, Henry Arguello, David S. Kittle
2014	—	`conf`	Compressive Sensing of Signals from a GMM with Sparse Precision Matrices. NIPS Jianbo Yang, Xuejun Liao, Minhua Chen, Lawrence Carin
2014	—	`conf`	Dynamic Rank Factor Model for Text Streams. NIPS Shaobo Han, Lin Du, Esther Salazar, Lawrence Carin
2014	J	`jnl`	Generalized Alternating Projection for Weighted-퓁 SIAM J. Imaging Sci. Xuejun Liao, Hui Li, Lawrence Carin
2014	J	`jnl`	Hierarchical Infinite Divisibility for Multiscale Shrinkage. IEEE Trans. Signal Process. Xin Yuan, Vinayak A. Rao, Shaobo Han, Lawrence Carin
2014	A	`conf`	Latent Gaussian Models for Topic Modeling. AISTATS Changwei Hu, Eunsu Ryu, David E. Carlson, Yingjian Wang, Lawrence Carin
2014	A*	`conf`	Low-Cost Compressive Sensing for Color Video and Depth. CVPR Xin Yuan, Patrick Llull, Xuejun Liao, Jianbo Yang, David J. Brady, Guillermo Sapiro, Lawrence Carin
2014	J	`jnl`	Low-Cost Compressive Sensing for Color Video and Depth. CoRR Xin Yuan, Patrick Llull, Xuejun Liao, Jianbo Yang, Guillermo Sapiro, David J. Brady, Lawrence Carin
2014	A*	`conf`	Modeling Correlated Arrival Events with Latent Semi-Markov Processes. ICML Wenzhao Lian, Vinayak A. Rao, Brian Eriksson, Lawrence Carin
2014	A*	`conf`	Multi-shot Imaging: Joint Alignment, Deblurring, and Resolution-Enhancement. CVPR Haichao Zhang, Lawrence Carin
2014	J	`jnl`	Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning and Mixture Modeling. IEEE Trans. Biomed. Eng. David E. Carlson, Joshua T. Vogelstein, Qisong Wu, Wenzhao Lian, Mingyuan Zhou, Colin R. Stoetzner, Daryl Kipke, Douglas Weber, David B. Dunson, Lawrence Carin
2014	A*	`conf`	Nonlinear Information-Theoretic Compressive Measurement Design. ICML Liming Wang, Abolfazl Razi, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
2014	—	`conf`	On the relations of LFPs & Neural Spike Trains. NIPS David E. Carlson, Jana Schaich Borg, Kafui Dzirasa, Lawrence Carin
2014	J	`jnl`	Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements. IEEE Trans. Signal Process. Francesco Renna, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues
2014	A*	`conf`	Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors. ICML Piyush Rai, Yingjian Wang, Shengbo Guo, Gary Chen, David B. Dunson, Lawrence Carin
2014	J	`jnl`	Tree-Structure Bayesian Compressive Sensing for Video. CoRR Xin Yuan, Patrick Llull, David J. Brady, Lawrence Carin
2014	J	`jnl`	Video Compressive Sensing Using Gaussian Mixture Models. IEEE Trans. Image Process. Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, David J. Brady, Guillermo Sapiro, Lawrence Carin
2013	J	`jnl`	Adaptive Temporal Compressive Sensing for Video CoRR Xin Yuan, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David J. Brady, Lawrence Carin
2013	B	`conf`	Adaptive temporal compressive sensing for video. ICIP Xin Yuan, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David J. Brady, Lawrence Carin
2013	J	`jnl`	Analysis of space-time relational data with application to legislative voting. Comput. Stat. Data Anal. Esther Salazar, David B. Dunson, Lawrence Carin
2013	J	`jnl`	Coded Hyperspectral Imaging and Blind Compressive Sensing. SIAM J. Imaging Sci. Ajit Rajwade, David S. Kittle, Tsung-Han Tsai, David J. Brady, Lawrence Carin
2013	J	`jnl`	Coded aperture compressive temporal imaging CoRR Patrick Llull, Xuejun Liao, Xin Yuan, Jianbo Yang, David S. Kittle, Lawrence Carin, Guillermo Sapiro, David J. Brady
2013	Misc	`conf`	Compressive sensing for incoherent imaging systems with optical constraints. ICASSP Francesco Renna, Miguel R. D. Rodrigues, Minhua Chen, A. Robert Calderbank, Lawrence Carin
2013	J	`jnl`	Deep Learning with Hierarchical Convolutional Factor Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Bo Chen, Gungor Polatkan, Guillermo Sapiro, David M. Blei, David B. Dunson, Lawrence Carin
2013	—	`conf`	Designed Measurements for Vector Count Data. NIPS Liming Wang, David E. Carlson, Miguel R. D. Rodrigues, David Wilcox, A. Robert Calderbank, Lawrence Carin
2013	—	`conf`	Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture. NIPS Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How, Lawrence Carin
2013	—	`conf`	Exploring the Mind: Integrating Questionnaires and fMRI. ICML (2) Esther Salazar, Ryan Bogdan, Adam Gorka, Ahmad Hariri, Lawrence Carin
2013	B	`conf`	Gaussian mixture model for video compressive sensing. ICIP Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, Guillermo Sapiro, David J. Brady, Lawrence Carin
2013	J	`jnl`	Generalized Bregman Divergence and Gradient of Mutual Information for Vector Poisson Channels CoRR Liming Wang, Miguel R. D. Rodrigues, Lawrence Carin
2013	B	`conf`	Generalized Bregman divergence and gradient of mutual information for vector Poisson channels. ISIT Liming Wang, Miguel R. D. Rodrigues, Lawrence Carin
2013	—	`conf`	Integrated Non-Factorized Variational Inference. NIPS Shaobo Han, Xuejun Liao, Lawrence Carin
2013	A*	`conf`	Online Expectation Maximization for Reinforcement Learning in POMDPs. IJCAI Miao Liu, Xuejun Liao, Lawrence Carin
2013	Misc	`conf`	Patient Clustering with Uncoded Text in Electronic Medical Records. AMIA Ricardo Henao, Jared Murray, Geoffrey S. Ginsburg, Lawrence Carin, Joseph E. Lucas
2013	—	`conf`	Quantitative profiling of microglia populations using harmonic co-clustering of arbor morphology measurements. ISBI Yanbin Lu, Kristen Trett, William Shain, Lawrence Carin, Ronald R. Coifman, Badrinath Roysam
2013	—	`conf`	Real-Time Inference for a Gamma Process Model of Neural Spiking. NIPS David E. Carlson, Vinayak A. Rao, Joshua T. Vogelstein, Lawrence Carin
2013	—	`conf`	Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view. GlobalSIP Francesco Renna, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues
2013	J	`jnl`	Reconstruction of Signals Drawn from a Gaussian Mixture from Noisy Compressive Measurements: MMSE Phase Transitions and Beyond. CoRR Francesco Renna, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues
2013	J	`jnl`	Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models. IEEE Trans. Signal Process. Julio Martin Duarte-Carvajalino, Guoshen Yu, Lawrence Carin, Guillermo Sapiro
2013	B	`conf`	Test-size Reduction for Concept Estimation. EDM Divyanshu Vats, Christoph Studer, Andrew S. Lan, Lawrence Carin, Richard G. Baraniuk
2012	J	`jnl`	A Bayesian Nonparametric Approach to Image Super-resolution CoRR Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David M. Blei, Ingrid Daubechies
2012	—	`conf`	Active learning for large-scale factor analysis. SSP Jorge G. Silva, Lawrence Carin
2012	A*	`conf`	Active learning for online bayesian matrix factorization. KDD Jorge G. Silva, Lawrence Carin
2012	Misc	`conf`	Adapted statistical compressive sensing: Learning to sense gaussian mixture models. ICASSP Julio Martin Duarte-Carvajalino, Guoshen Yu, Lawrence Carin, Guillermo Sapiro
2012	—	`conf`	Augment-and-Conquer Negative Binomial Processes. NIPS Mingyuan Zhou, Lawrence Carin
2012	A	`conf`	Beta-Negative Binomial Process and Poisson Factor Analysis. AISTATS Mingyuan Zhou, Lauren Hannah, David B. Dunson, Lawrence Carin
2012	A*	`conf`	Communications Inspired Linear Discriminant Analysis. ICML Minhua Chen, William R. Carson, Miguel R. D. Rodrigues, Lawrence Carin, A. Robert Calderbank
2012	J	`jnl`	Communications-Inspired Projection Design with Application to Compressive Sensing CoRR William R. Carson, Minhua Chen, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
2012	J	`jnl`	Communications-Inspired Projection Design with Application to Compressive Sensing. SIAM J. Imaging Sci. William R. Carson, Minhua Chen, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
2012	A*	`conf`	Cross-Domain Multitask Learning with Latent Probit Models. ICML Shaobo Han, Xuejun Liao, Lawrence Carin
2012	J	`jnl`	Dictionary Learning for Noisy and Incomplete Hyperspectral Images. SIAM J. Imaging Sci. Zhengming Xing, Mingyuan Zhou, Alexey Castrodad, Guillermo Sapiro, Lawrence Carin
2012	—	`conf`	Hierarchical factor modeling of proteomics data. ICCABS Ricardo Henao, J. Will Thompson, M. Arthur Moseley, Geoffrey S. Ginsburg, Lawrence Carin, Joseph E. Lucas
2012	J	`jnl`	High Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections. IEEE Signal Process. Mag. 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
2012	Misc	`conf`	How to focus the discriminative power of a dictionary. ICASSP William R. Carson, Miguel R. D. Rodrigues, Minhua Chen, Lawrence Carin, A. Robert Calderbank
2012	A*	`conf`	Inferring Latent Structure From Mixed Real and Categorical Relational Data. ICML Esther Salazar, Lawrence Carin
2012	—	`conf`	Joint Modeling of a Matrix with Associated Text via Latent Binary Features. NIPS XianXing Zhang, Lawrence Carin
2012	J	`jnl`	Levy Measure Decompositions for the Beta and Gamma Processes CoRR Yingjian Wang, Lawrence Carin
2012	A*	`conf`	Levy Measure Decompositions for the Beta and Gamma Processes. ICML Yingjian Wang, Lawrence Carin
2012	A*	`conf`	Lognormal and Gamma Mixed Negative Binomial Regression. ICML Mingyuan Zhou, Lingbo Li, David B. Dunson, Lawrence Carin
2012	J	`jnl`	Lognormal and Gamma Mixed Negative Binomial Regression. CoRR Mingyuan Zhou, Lingbo Li, David B. Dunson, Lawrence Carin
2012	J	`jnl`	Nested Dictionary Learning for Hierarchical Organization of Imagery and Text CoRR Lingbo Li, XianXing Zhang, Mingyuan Zhou, Lawrence Carin
2012	A	`conf`	Nested Dictionary Learning for Hierarchical Organization of Imagery and Text. UAI Lingbo Li, XianXing Zhang, Mingyuan Zhou, Lawrence Carin
2012	J	`jnl`	Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images. IEEE Trans. Image Process. Mingyuan Zhou, Haojun Chen, John W. Paisley, Lu Ren, Lingbo Li, Zhengming Xing, David B. Dunson, Guillermo Sapiro, Lawrence Carin
2012	Misc	`conf`	Online Bayesian dictionary learning for large datasets. ICASSP Lingbo Li, Jorge G. Silva, Mingyuan Zhou, Lawrence Carin
2012	J	`jnl`	Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models CoRR Julio Martin Duarte-Carvajalino, Guoshen Yu, Lawrence Carin, Guillermo Sapiro
2012	A*	`conf`	The contextual focused topic model. KDD Xu Chen, Mingyuan Zhou, Lawrence Carin
2011	J	`jnl`	Bayesian Robust Principal Component Analysis. IEEE Trans. Image Process. Xinghao Ding, Lihan He, Lawrence Carin
2011	Misc	`conf`	Bayesian topic models for describing computer network behaviors. ICASSP Christopher Cramer, Lawrence Carin
2011	J	`jnl`	Blind Compressed Sensing Over a Structured Union of Subspaces CoRR Jorge G. Silva, Minhua Chen, Yonina C. Eldar, Guillermo Sapiro, Lawrence Carin
2011	J	`jnl`	Corrections to "Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds". IEEE Trans. Signal Process. Minhua Chen, Jorge G. Silva, John W. Paisley, Chunping Wang, David B. Dunson, Lawrence Carin
2011	Misc	`conf`	Covariate-dependent dictionary learning and sparse coding. ICASSP Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin
2011	A	`conf`	Dependent Hierarchical Beta Process for Image Interpolation and Denoising. AISTATS Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin
2011	J	`jnl`	Detection of Viruses Via Statistical Gene Expression Analysis. IEEE Trans. Biomed. Eng. Minhua Chen, David E. Carlson, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Alfred O. Hero III, Joseph E. Lucas, Lawrence Carin
2011	—	`conf`	Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices. NIPS XianXing Zhang, David B. Dunson, Lawrence Carin
2011	Misc	`conf`	Joint dictionary learning and topic modeling for image clustering. ICASSP Lingbo Li, Mingyuan Zhou, Eric Wang, Lawrence Carin
2011	J	`jnl`	Learning Discriminative Sparse Representations for Modeling, Source Separation, and Mapping of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. Alexey Castrodad, Zhengming Xing, John B. Greer, Edward Bosch, Lawrence Carin, Guillermo Sapiro
2011	J	`jnl`	Learning Low-Dimensional Signal Models. IEEE Signal Process. Mag. Lawrence Carin, Richard G. Baraniuk, Volkan Cevher, David B. Dunson, Michael I. Jordan, Guillermo Sapiro, Michael B. Wakin
2011	J	`jnl`	Logistic Stick-Breaking Process. J. Mach. Learn. Res. Lu Ren, Lan Du, Lawrence Carin, David B. Dunson
2011	C	`conf`	Non-parametric Bayesian modeling and fusion of spatio-temporal information sources. FUSION Priyadip Ray, Lawrence Carin
2011	Misc	`conf`	Nonparametric Bayesian feature selection for multi-task learning. ICASSP Hui Li, Xuejun Liao, Lawrence Carin
2011	—	`conf`	On the Analysis of Multi-Channel Neural Spike Data. NIPS Bo Chen, David E. Carlson, Lawrence Carin
2011	A*	`conf`	On the Integration of Topic Modeling and Dictionary Learning. ICML Lingbo Li, Mingyuan Zhou, Guillermo Sapiro, Lawrence Carin
2011	J	`jnl`	Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models CoRR Julio Martin Duarte-Carvajalino, Guillermo Sapiro, Guoshen Yu, Lawrence Carin
2011	A*	`conf`	The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning. ICML Bo Chen, Gungor Polatkan, Guillermo Sapiro, David B. Dunson, Lawrence Carin
2011	A*	`conf`	The Infinite Regionalized Policy Representation. ICML Miao Liu, Xuejun Liao, Lawrence Carin
2011	—	`conf`	The Kernel Beta Process. NIPS Lu Ren, Yingjian Wang, David B. Dunson, Lawrence Carin
2011	Misc	`conf`	Time-evolving modeling of social networks. ICASSP Eric Wang, Jorge G. Silva, Rebecca Willett, Lawrence Carin
2011	A*	`conf`	Topic Modeling with Nonparametric Markov Tree. ICML Haojun Chen, David B. Dunson, Lawrence Carin
2011	A*	`conf`	Tree-Structured Infinite Sparse Factor Model. ICML XianXing Zhang, David B. Dunson, Lawrence Carin
2011	A*	`conf`	Variational Inference for Stick-Breaking Beta Process Priors. ICML John W. Paisley, Lawrence Carin, David M. Blei
2010	A*	`conf`	A Stick-Breaking Construction of the Beta Process. ICML John W. Paisley, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Lawrence Carin
2010	Misc	`conf`	A nonparametric Bayesian model for kernel matrix completion. ICASSP John W. Paisley, Lawrence Carin
2010	J	`jnl`	Active learning and basis selection for kernel-based linear models: a Bayesian perspective. IEEE Trans. Signal Process. John W. Paisley, Xuejun Liao, Lawrence Carin
2010	J	`jnl`	Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies. BMC Bioinform. 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
2010	J	`jnl`	Classification with Incomplete Data Using Dirichlet Process Priors. J. Mach. Learn. Res. Chunping Wang, Xuejun Liao, Lawrence Carin, David B. Dunson
2010	J	`jnl`	Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds. IEEE Trans. Signal Process. Minhua Chen, Jorge G. Silva, John W. Paisley, Chunping Wang, David B. Dunson, Lawrence Carin
2010	B	`conf`	Discriminative sparse representations in hyperspectral imagery. ICIP Alexey Castrodad, Zhengming Xing, John B. Greer, Edward Bosch, Lawrence Carin, Guillermo Sapiro
2010	J	`jnl`	Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents. IEEE Trans. Pattern Anal. Mach. Intell. Iulian Pruteanu-Malinici, Lu Ren, John W. Paisley, Eric Wang, Lawrence Carin
2010	—	`conf`	Invited Talk Abstracts. AAAI Fall Symposium: Manifold Learning and Its Applications Yi Ma, Fei Sha, Lawrence Carin, Gilad Lerman, Neil D. Lawrence
2010	—	`conf`	Joint Analysis of Time-Evolving Binary Matrices and Associated Documents. NIPS Eric Wang, Dehong Liu, Jorge G. Silva, David B. Dunson, Lawrence Carin
2010	B	`conf`	Nonparametric image interpolation and dictionary learning using spatially-dependent Dirichlet and beta process priors. ICIP John W. Paisley, Mingyuan Zhou, Guillermo Sapiro, Lawrence Carin
2010	J	`jnl`	Probabilistic Topic Models. IEEE Signal Process. Mag. David M. Blei, Lawrence Carin, David B. Dunson
2010	J	`jnl`	Sparse Signal Recovery and Acquisition with Graphical Models. IEEE Signal Process. Mag. Volkan Cevher, Piotr Indyk, Lawrence Carin, Richard G. Baraniuk
2010	Misc	`conf`	Sparse linear regression with beta process priors. ICASSP Bo Chen, John W. Paisley, Lawrence Carin
2010	J	`jnl`	Sticky hidden Markov modeling of comparative genomic hybridization. IEEE Trans. Signal Process. Lan Du, Minhua Chen, Joseph E. Lucas, Lawrence Carin
2010	J	`jnl`	Tree-Structured Compressive Sensing With Variational Bayesian Analysis. IEEE Signal Process. Lett. Lihan He, Haojun Chen, Lawrence Carin
2009	—	`conf`	A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation. NIPS Lan Du, Lu Ren, David B. Dunson, Lawrence Carin
2009	Misc	`conf`	Active learning for semi-supervised multi-task learning. ICASSP Hui Li, Xuejun Liao, Lawrence Carin
2009	J	`jnl`	Compressive sensing for multi-static scattering analysis. J. Comput. Phys. Lawrence Carin, Dehong Liu, Wenbin Lin, Bin Guo
2009	Misc	`conf`	Dirichlet process mixture models with multiple modalities. ICASSP John W. Paisley, Lawrence Carin
2009	J	`jnl`	Exploiting structure in wavelet-based Bayesian compressive sensing. IEEE Trans. Signal Process. Lihan He, Lawrence Carin
2009	J	`jnl`	Hidden Markov models with stick-breaking priors. IEEE Trans. Signal Process. John W. Paisley, Lawrence Carin
2009	J	`jnl`	Kernel-Matching Pursuits With Arbitrary Loss Functions. IEEE Trans. Neural Networks Jason R. Stack, Gerald J. Dobeck, Xuejun Liao, Lawrence Carin
2009	—	`conf`	Learning to Explore and Exploit in POMDPs. NIPS Chenghui Cai, Xuejun Liao, Lawrence Carin
2009	J	`jnl`	Migratory Logistic Regression for Learning Concept Drift Between Two Data Sets With Application to UXO Sensing. IEEE Trans. Geosci. Remote. Sens. Xuejun Liao, Lawrence Carin
2009	J	`jnl`	Multi-task Reinforcement Learning in Partially Observable Stochastic Environments. J. Mach. Learn. Res. Hui Li, Xuejun Liao, Lawrence Carin
2009	Misc	`conf`	Multi-task classification with infinite local experts. ICASSP Chunping Wang, Qi An, Lawrence Carin, David B. Dunson
2009	J	`jnl`	Multitask Compressive Sensing. IEEE Trans. Signal Process. Shihao Ji, David B. Dunson, Lawrence Carin
2009	Misc	`conf`	Music analysis with a Bayesian dynamic model. ICASSP Lu Ren, David B. Dunson, Scott Lindroth, Lawrence Carin
2009	—	`conf`	Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations. NIPS Mingyuan Zhou, Haojun Chen, John W. Paisley, Lu Ren, Guillermo Sapiro, Lawrence Carin
2009	A*	`conf`	Nonparametric factor analysis with beta process priors. ICML John W. Paisley, Lawrence Carin
2009	J	`jnl`	Semisupervised Learning of Hidden Markov Models via a Homotopy Method. IEEE Trans. Pattern Anal. Mach. Intell. Shihao Ji, Layne T. Watson, Lawrence Carin
2009	J	`jnl`	Semisupervised Multitask Learning. IEEE Trans. Pattern Anal. Mach. Intell. Qiuhua Liu, Xuejun Liao, Hui Li, Jason R. Stack, Lawrence Carin
2008	J	`jnl`	An Investigation of Using the Spectral Characteristics From Ground Penetrating Radar for Landmine/Clutter Discrimination. IEEE Trans. Geosci. Remote. Sens. K. C. Ho, Lawrence Carin, Paul D. Gader, Joseph N. Wilson
2008	J	`jnl`	Bayesian Compressive Sensing. IEEE Trans. Signal Process. Shihao Ji, Ya Xue, Lawrence Carin
2008	J	`jnl`	Cybersecurity Strategies: The QuERIES Methodology. Computer Lawrence Carin, George Cybenko, Jeff Hughes
2008	J	`jnl`	Detection of Unexploded Ordnance via Efficient Semisupervised and Active Learning. IEEE Trans. Geosci. Remote. Sens. Qiuhua Liu, Xuejun Liao, Lawrence Carin
2008	A*	`conf`	Hierarchical kernel stick-breaking process for multi-task image analysis. ICML Qi An, Chunping Wang, Ivo Shterev, Eric Wang, Lawrence Carin, David B. Dunson
2008	J	`jnl`	Infinite Hidden Markov Models for Unusual-Event Detection in Video. IEEE Trans. Image Process. Iulian Pruteanu-Malinici, Lawrence Carin
2008	J	`jnl`	Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data. IEEE Trans. Signal Process. Kai Ni, John W. Paisley, Lawrence Carin, David B. Dunson
2008	A*	`conf`	Multi-task compressive sensing with Dirichlet process priors. ICML Yuting Qi, Dehong Liu, David B. Dunson, Lawrence Carin
2008	J	`jnl`	Multitask Classification by Learning the Task Relevance. IEEE Signal Process. Lett. Jun Fang, Shihao Ji, Ya Xue, Lawrence Carin
2008	—	`conf`	The ATR Center and ATRpedia. Visual Information Processing Gregory Arnold, Timothy Ross, Lori Westerkamp, Lawrence Carin, Randolph L. Moses
2008	A*	`conf`	The dynamic hierarchical Dirichlet process. ICML Lu Ren, David B. Dunson, Lawrence Carin
2007	J	`jnl`	A Bivariate Gaussian Model for Unexploded Ordnance Classification with EMI Data. IEEE Geosci. Remote. Sens. Lett. David Williams, Yijun Yu, Levi Kennedy, Xianyang Zhu, Lawrence Carin
2007	J	`jnl`	Adaptive Multimodality Sensing of Landmines. IEEE Trans. Geosci. Remote. Sens. Lihan He, Shihao Ji, Waymond R. Scott, Lawrence Carin
2007	A*	`conf`	Bayesian compressive sensing and projection optimization. ICML Shihao Ji, Lawrence Carin
2007	J	`jnl`	Classification of Unexploded Ordnance Using Incomplete Multisensor Multiresolution Data. IEEE Trans. Geosci. Remote. Sens. David Williams, Chunping Wang, Xuejun Liao, Lawrence Carin
2007	J	`jnl`	Cost-sensitive feature acquisition and classification. Pattern Recognit. Shihao Ji, Lawrence Carin
2007	—	`conf`	Dirichlet Process HMM Mixture Models with Application to Music Analysis. ICASSP (2) Yuting Qi, John William Paisley, Lawrence Carin
2007	J	`jnl`	Electromagnetic Target Detection in Uncertain Media: Time-Reversal and Minimum-Variance Algorithms. IEEE Trans. Geosci. Remote. Sens. Dehong Liu, Jeffrey L. Krolik, Lawrence Carin
2007	—	`conf`	Infinite Hidden Markov Models and ISA Features for Unusual-Event Detection in Video. ICIP (5) Iulian Pruteanu-Malinici, Lawrence Carin
2007	—	`conf`	Learning Classifiers on a Partially Labeled Data Manifold. ICASSP (2) Qiuhua Liu, Xuejun Liao, Lawrence Carin
2007	—	`conf`	Multi-Aspect Target Classification and Detection via the Infinite Hidden Markov Model. ICASSP (2) Kai Ni, Yuting Qi, Lawrence Carin
2007	J	`jnl`	Multi-Task Learning for Classification with Dirichlet Process Priors. J. Mach. Learn. Res. Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram
2007	A*	`conf`	Multi-task learning for sequential data via iHMMs and the nested Dirichlet process. ICML Kai Ni, Lawrence Carin, David B. Dunson
2007	J	`jnl`	Music Analysis Using Hidden Markov Mixture Models. IEEE Trans. Signal Process. Yuting Qi, John William Paisley, Lawrence Carin
2007	J	`jnl`	Nonmyopic Multiaspect Sensing With Partially Observable Markov Decision Processes. IEEE Trans. Signal Process. Shihao Ji, Ronald Parr, Lawrence Carin
2007	J	`jnl`	On Classification with Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. David Williams, Xuejun Liao, Ya Xue, Lawrence Carin, Balaji Krishnapuram
2007	A*	`conf`	Point-Based Policy Iteration. AAAI Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin
2007	A*	`conf`	Quadratically gated mixture of experts for incomplete data classification. ICML Xuejun Liao, Hui Li, Lawrence Carin
2007	—	`conf`	Semi-Supervised Multitask Learning. NIPS Qiuhua Liu, Xuejun Liao, Lawrence Carin
2007	A*	`conf`	The matrix stick-breaking process for flexible multi-task learning. ICML Ya Xue, David B. Dunson, Lawrence Carin
2007	J	`jnl`	Three-Dimensional Bayesian Inversion With Application to Subsurface Sensing. IEEE Trans. Geosci. Remote. Sens. Yijun Yu, Lawrence Carin
2007	J	`jnl`	Volumetric fast multipole method for modeling Schrödinger's equation. J. Comput. Phys. Zhiqin Zhao, Narayan Kovvali, Wenbin Lin, Chang-Hoi Ahn, Luise Couchman, Lawrence Carin
2007	—	`conf`	Wideband Array Imaging of a Target Situated in an Unknown Random Media. ICASSP (1) Dehong Liu, Lawrence Carin
2006	—	`conf`	A Reward-Directed Bayesian Classifier. ICASSP (5) Hui Li, Xuejun Liao, Lawrence Carin
2006	J	`jnl`	A modified SPIHT algorithm for image coding with a joint MSE and classification distortion measure. IEEE Trans. Image Process. Shaorong Chang, Lawrence Carin
2006	—	`conf`	Homotopy-Based Semi-Supervised Hidden Markov Tree for Texture Analysis. ICASSP (2) Nilanjan Dasgupta, Shihao Ji, Lawrence Carin
2006	A*	`conf`	Incremental Least Squares Policy Iteration for POMDPs. AAAI Hui Li, Xuejun Liao, Lawrence Carin
2006	J	`jnl`	Pseudospectral method based on prolate spheroidal wave functions for semiconductor nanodevice simulation. Comput. Phys. Commun. Wenbin Lin, Narayan Kovvali, Lawrence Carin
2006	J	`jnl`	Rapid Prolate Pseudospectral Differentiation and Interpolation with the Fast Multipole Method. SIAM J. Sci. Comput. Narayan Kovvali, Wenbin Lin, Zhiqin Zhao, Luise Couchman, Lawrence Carin
2006	A*	`conf`	Region-based value iteration for partially observable Markov decision processes. ICML Hui Li, Xuejun Liao, Lawrence Carin
2006	J	`jnl`	Texture analysis with variational hidden Markov trees. IEEE Trans. Signal Process. Nilanjan Dasgupta, Lawrence Carin
2006	J	`jnl`	Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. Shihao Ji, Balaji Krishnapuram, Lawrence Carin
2005	—	`conf`	A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation. CVPR (2) Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
2005	J	`jnl`	Direct algorithm for computation of derivatives of the Daubechies basis functions. Appl. Math. Comput. Wenbin Lin, Narayan Kovvali, Lawrence Carin
2005	A*	`conf`	Incomplete-data classification using logistic regression. ICML David Williams, Xuejun Liao, Ya Xue, Lawrence Carin
2005	A*	`conf`	Logistic regression with an auxiliary data source. ICML Xuejun Liao, Ya Xue, Lawrence Carin
2005	—	`conf`	Radial Basis Function Network for Multi-task Learning. NIPS Xuejun Liao, Lawrence Carin
2005	J	`jnl`	Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds. IEEE Trans. Pattern Anal. Mach. Intell. Balaji Krishnapuram, Lawrence Carin, Mário A. T. Figueiredo, Alexander J. Hartemink
2004	J	`jnl`	A Bayesian Approach to Joint Feature Selection and Classifier Design. IEEE Trans. Pattern Anal. Mach. Intell. Balaji Krishnapuram, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo
2004	—	`conf`	Active selection of labeled data for target detection. ICASSP (5) Yan Zhang, Xuejun Liao, Esther Durá, Lawrence Carin
2004	—	`conf`	Adaptive multi-aspect target classification and detection with hidden Markov models. ICASSP (2) Shihao Ji, Xuejun Liao, Lawrence Carin
2004	—	`conf`	Airport detection in large aerial optical imagery. ICASSP (5) Dehong Liu, Lihan He, Lawrence Carin
2004	J	`jnl`	Application of the Theory of Optimal Experiments to Adaptive Electromagnetic-Induction Sensing of Buried Targets. IEEE Trans. Pattern Anal. Mach. Intell. Xuejun Liao, Lawrence Carin
2004	J	`jnl`	Application of the biorthogonal multiresolution time-domain method to the analysis of elastic-wave interactions with buried targets. IEEE Trans. Geosci. Remote. Sens. Xianyang Zhu, Lawrence Carin
2004	J	`jnl`	Detection of buried targets via active selection of labeled data: application to sensing subsurface UXO. IEEE Trans. Geosci. Remote. Sens. Yan Zhang, Xuejun Liao, Lawrence Carin
2004	J	`jnl`	Joint Classifier and Feature Optimization for Comprehensive Cancer Diagnosis Using Gene Expression Data. J. Comput. Biol. Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink
2004	—	`conf`	Kernel matching pursuits prioritization of wavelet coefficients for SPIHT image coding. ICASSP (3) Shaorong Chang, Lawrence Carin
2004	—	`conf`	On Semi-Supervised Classification. NIPS Balaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo
2004	J	`jnl`	Three-dimensional inverse scattering of a dielectric target embedded in a lossy half-space. IEEE Trans. Geosci. Remote. Sens. Yijun Yu, Tiejun Yu, Lawrence Carin
2004	—	`conf`	Time-reversal imaging and classification for distant targets in a shallow water channel. ICASSP (2) Nilanjan Dasgupta, Lawrence Carin
2003	—	`conf`	Context-based graphical modeling for wavelet domain signal processing. ICASSP (3) Nilanjan Dasgupta, Lawrence Carin
2003	—	`conf`	ICA with multiple quadratic constraints. ICASSP (5) Xuejun Liao, Lawrence Carin
2003	B	`conf`	Joint classifier and feature optimization for cancer diagnosis using gene expression data. RECOMB Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink
2003	J	`jnl`	Quantization of multiaspect scattering data: target classification and pose estimation. IEEE Trans. Signal Process. Yanting Dong, Lawrence Carin
2003	J	`jnl`	Rate-Distortion Analysis of Discrete-HMM Pose Estimation via Multiaspect Scattering Data. IEEE Trans. Pattern Anal. Mach. Intell. Yanting Dong, Lawrence Carin
2003	B	`conf`	Rate-Distortion Bound for Joint Compression and Classification. DCC Yanting Dong, Lawrence Carin
2003	J	`jnl`	Scalable multilevel fast multipole method for multiple targets in the vicinity of a half space. IEEE Trans. Geosci. Remote. Sens. Ling Li, Zhijun Liu, Xiaolong Dong, James A. Thompson, Lawrence Carin
2003	J	`jnl`	Sensing of unexploded ordnance with magnetometer and induction data: theory and signal processing. IEEE Trans. Geosci. Remote. Sens. Yan Zhang, Leslie M. Collins, Haitao Yu, Carl E. Baum, Lawrence Carin
2003	—	`conf`	Time-reversal imaging for wideband underwater target classification. ICASSP (5) Hongwei Liu, Nilanjan Dasgupta, Lawrence Carin
2003	J	`jnl`	Unexploded ordnance detection using Bayesian physics-based data fusion. Integr. Comput. Aided Eng. Yan Zhang, Leslie M. Collins, Lawrence Carin
2002	Misc	`conf`	Class-based target classification in shallow water channel based on Hidden Markov Model. ICASSP Hongwei Liu, Lawrence Carin
2002	Misc	`conf`	HMM-based multiresolution image segmentation. ICASSP Jiuliu Lu, Lawrence Carin
2002	Misc	`conf`	ICA and PLS modeling for functional analysis and drug sensitivity for DNA microarray signals. ICASSP Xuejun Liao, Nilanjan Dasgupta, Simon M. Lin, Lawrence Carin
2002	J	`jnl`	Infrared-Image Classification Using Hidden Markov Trees. IEEE Trans. Pattern Anal. Mach. Intell. Priya Bharadwaj, Lawrence Carin
2002	Misc	`conf`	Infrared-image classification using support vector machines. ICASSP Shaorong Chang, Nasser M. Nasrabadi, Lawrence Carin
2002	C	`conf`	Model-based statistical sensor fusion for unexploded ordnance detection. IGARSS Leslie M. Collins, Yizhe Zhang, Lawrence Carin
2002	J	`jnl`	Sequential modeling for identifying CpG island locations in human genome. IEEE Signal Process. Lett. Nilanjan Dasgupta, Simon M. Lin, Lawrence Carin
2002	—	`conf`	Support Vector Machines for Improved Multiaspect Target Recognition Using the Fisher Scores of Hidden Markov Models. JCIS Balaji Krishnapuram, Lawrence Carin
2002	Misc	`conf`	Support Vector Machines for improved multiaspect target recognition using the fisher kernel scores of Hidden Markov Models. ICASSP Balaji Krishnapuram, Lawrence Carin
2001	J	`jnl`	A comparison of the performance of statistical and fuzzy algorithms for unexploded ordnance detection. IEEE Trans. Fuzzy Syst. Leslie M. Collins, Yan Zhang, Jing Li, Hua Wang, Lawrence Carin, Sean J. Hart, Susan L. Rose-Pehrsson, Herbert H. Nelson, James R. McDonald
2001	Misc	`conf`	Class-based identification of underwater targets using hidden Markov models. ICASSP Nilanjan Dasgupta, Paul Runkle, Lawrence Carin
2001	J	`jnl`	Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data. Signal Process. Nilanjan Dasgupta, Paul Runkle, Luise Couchman, Lawrence Carin
2001	J	`jnl`	Foreword. IEEE Trans. Geosci. Remote. Sens. Lawrence Carin
2001	J	`jnl`	Genetic Algorithm Wavelet Design for Signal Classification. IEEE Trans. Pattern Anal. Mach. Intell. Eric Jones, Paul Runkle, Nilanjan Dasgupta, Luise Couchman, Lawrence Carin
2001	Misc	`conf`	Identification of ground targets from sequential HRR radar signatures. ICASSP Xuejun Liao, Paul Runkle, Yan Jiao, Lawrence Carin
2001	Misc	`conf`	Infrared-image classification using expansion matching filters and hidden Markov trees. ICASSP Priya Bharadwaj, Paul Runkle, Lawrence Carin
2001	Misc	`conf`	Markov modeling of transient scattering and its application in multi-aspect target classification. ICASSP Yanting Dong, Paul Runkle, Lawrence Carin
2001	J	`jnl`	Multi-aspect detection of surface and shallow-buried unexploded ordnance via ultra-wideband synthetic aperture radar. IEEE Trans. Geosci. Remote. Sens. Yanting Dong, Paul Runkle, Lawrence Carin, Raju Damarla, Anders Sullivan, Marc A. Ressler, Jeffrey Sichina
2001	J	`jnl`	Multi-aspect target detection for SAR imagery using hidden Markov models. IEEE Trans. Geosci. Remote. Sens. Paul Runkle, Lam H. Nguyen, James H. McClellan, Lawrence Carin
2001	J	`jnl`	On the wideband EMI response of a rotationally symmetric permeable and conducting target. IEEE Trans. Geosci. Remote. Sens. Lawrence Carin, Haitao Yu, Yacine Dalichaouch, Alexander R. Perry, Peter V. Czipott, Carl E. Baum
2001	J	`jnl`	Rigorous modeling of ultrawideband VHF scattering from tree trunks over flat and. sloped terrain. IEEE Trans. Geosci. Remote. Sens. Jiangqi He, Norbert Geng, Lam H. Nguyen, Lawrence Carin
2001	J	`jnl`	Time-domain sensing of targets buried under a Gaussian, exponential, or fractal rough interface. IEEE Trans. Geosci. Remote. Sens. Traian Dogaru, Lawrence Carin
2000	J	`jnl`	Analysis of the electromagnetic inductive response of a void in a conducting-soil background. IEEE Trans. Geosci. Remote. Sens. Tiejun Yu, Lawrence Carin
2000	J	`jnl`	Classification of landmine-like metal targets using wideband electromagnetic induction. IEEE Trans. Geosci. Remote. Sens. Ping Gao, Leslie M. Collins, Philip M. Garber, Norbert Geng, Lawrence Carin
2000	J	`jnl`	Multilevel fast-multipole algorithm for scattering from conducting targets above or embedded in a lossy half space. IEEE Trans. Geosci. Remote. Sens. Norbert Geng, Anders Sullivan, Lawrence Carin
1999	J	`jnl`	An improved Bayesian decision theoretic approach for land mine detection. IEEE Trans. Geosci. Remote. Sens. Leslie M. Collins, Ping Gao, Lawrence Carin
1999	Misc	`conf`	Classification of landmine-like metal targets using wideband electromagnetic induction. ICASSP Ping Gao, Leslie M. Collins, Norbert Geng, Lawrence Carin, Dean A. Keiswetter, I. J. Won
1999	J	`jnl`	Hidden Markov models for multiaspect target classification. IEEE Trans. Signal Process. Luise Couchman, Lawrence Carin
1999	Misc	`conf`	Multi-aspect target identification with wave-based matching pursuits and continuous hidden Markov models. ICASSP Paul Runkle, Lawrence Carin
1999	J	`jnl`	Multiaspect Target Identification with Wave-Based Matched Pursuits and Continuous Hidden Markov Models. IEEE Trans. Pattern Anal. Mach. Intell. Paul Runkle, Lawrence Carin, Luise Couchman, Timothy J. Yoder, Joseph A. Bucaro
1999	J	`jnl`	On the low-frequency natural response of conducting and permeable targets. IEEE Trans. Geosci. Remote. Sens. Norbert Geng, Carl E. Baum, Lawrence Carin
1999	Misc	`conf`	Physics-based classification of targets in SAR imagery using subaperture sequences. ICASSP Lawrence Carin, Gary Ybarra, Priya Bharadwaj, Paul Runkle
1999	J	`jnl`	Short-pulse electromagnetic scattering from arbitrarily oriented subsurface ordnance. IEEE Trans. Geosci. Remote. Sens. Norbert Geng, Lawrence Carin
1999	J	`jnl`	Wide-band VHF scattering from a trihedral reflector situated above a lossy dispersive halfspace. IEEE Trans. Geosci. Remote. Sens. Norbert Geng, Marc A. Ressler, Lawrence Carin
1998	J	`jnl`	Polarimetric SAR imaging of buried landmines. IEEE Trans. Geosci. Remote. Sens. Lawrence Carin, Ravinder Kapoor, Carl E. Baum
1997	J	`jnl`	Matching pursuits with a wave-based dictionary. IEEE Trans. Signal Process. Mark R. McClure, Lawrence Carin
1997	C	`conf`	Random Neural Network Recognition of Shaped Objects in Strong Clutter. ICANN Hakan Bakircioglu, Erol Gelenbe, Lawrence Carin
1997	J	`jnl`	Ultra-wideband, short-pulse ground-penetrating radar: simulation and measurement. IEEE Trans. Geosci. Remote. Sens. Stanislav Vitebskiy, Lawrence Carin, Marc A. Ressler, Francis H. Le