Carin, Lawrence

Bayesian compressive sensing

Ji, S., Xue, Y., & Carin, L. (2008) · IEEE Transactions on Signal Processing

Sparse and Compressive Sensing TechniquesMathematical Analysis and Transform Methods

Cited by 2,406

Digital technology and COVID-19

Ting, D. S. W., Carin, L., Dzau, V., & Wong, T. Y. (2020) · Nature Medicine

COVID-19 Digital Contact TracingHealthcare during COVID-19 Pandemic

Cited by 1,413

What Makes Good In-Context Examples for GPT-3?

Liu, J., Shen, D., Zhang, Y., Dolan, B., Carin, L., & Chen, W. (2022) · Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures

Topic ModelingNatural Language Processing Techniques

Cited by 563

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

Shen, D., Wang, G., Wang, W., Min, M. R., Su, Q., Zhang, Y., Li, C., Henao, R., & Carin, L. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 328

Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training

Hao, W., Li, C., Li, X., Carin, L., & Gao, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 264

Relationship between intracortical electrode design and chronic recording function

Karumbaiah, L., Saxena, T., Carlson, D., Patil, K., Patkar, R., Gaupp, E. A., Betancur, M., Stanley, G. B., Carin, L., & Bellamkonda, R. V. (2013) · Biomaterials

Neuroscience and Neural EngineeringDeep Brain Stimulation and Movement Disorders

Cited by 241

Brain-wide Electrical Spatiotemporal Dynamics Encode Depression Vulnerability

Hultman, R., Ulrich, K., Sachs, B. D., Blount, C., Carlson, D. E., Ndubuizu, N., Bagot, R. C., Parise, E. M., Vu, M.-A. T., Gallagher, N. M., et al. (2018) · Cell

Neural dynamics and brain functionTreatment of Major Depression

Cited by 183

What Makes Good In-Context Examples for GPT-$3$?

Liu, J., Shen, D., Zhang, Y., Dolan, B., Carin, L., & Chen, W. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 148

On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators

Chen, C., Ding, N., & Carin, L. (2016) · arXiv

Markov Chains and Monte Carlo MethodsStochastic Gradient Optimization Techniques

Cited by 106

Bayesian joint analysis of heterogeneous genomics data

Ray, P., Zheng, L., Lucas, J., & Carin, L. (2014) · Bioinformatics

Gene expression and cancer classificationBayesian Methods and Mixture Models

Cited by 84

Vision transformer-based weakly supervised histopathological image analysis of primary brain tumors

Li, Z., Cong, Y., Chen, X., Qi, J., Sun, J., Yan, T., Yang, H., Liu, J., Lu, E., Wang, L., et al. (2023) · iScience

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 82

On Artificial Intelligence and Deep Learning Within Medical Education

Carin, L. (2020) · Academic Medicine

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 56

Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification

Li, C., Stevens, A., Chen, C., Pu, Y., Gan, Z., & Carin, L. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsGaussian Processes and Bayesian Inference

Cited by 39