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Computer Science

D-Index
97
Citations
39973
World Ranking
423
National Ranking
235

Overview

Lawrence Carin is affiliated with Duke University in the United States and has a multidisciplinary research profile intersecting computer science and medicine. Their work spans a broad range of topics within artificial intelligence, machine learning, and medical imaging.

The scientist has produced significant contributions to fields including:

  • Computer Science
  • Medicine

Key subfields of study represented in their research include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Ophthalmology
  • Statistics and Probability

The main research topics Lawrence Carin focuses on involve:

  • Domain Adaptation and Few-Shot Learning
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • AI in cancer detection
  • Natural Language Processing Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • Adversarial Robustness in Machine Learning

Their publication record includes work published in several prominent venues, with the most frequent being:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • UNC Libraries
  • IEEE Transactions on Neural Networks and Learning Systems
  • Scientific Reports

Recent papers by Lawrence Carin include:

  • Digital technology and COVID-19, 2020, Nature Medicine
  • What Makes Good In-Context Examples for GPT-3?, 2021, arXiv (Cornell University)
  • Convolutional neural network to identify symptomatic Alzheimer's disease using multimodal retinal imaging, 2020, British Journal of Ophthalmology
  • Application of a machine learning algorithm to predict malignancy in thyroid cytopathology, 2020, Cancer Cytopathology
  • SAGES consensus recommendations on an annotation framework for surgical video, 2021, Surgical Endoscopy

The scientist has collaborated frequently with a number of co-authors, including:

  • Ricardo Henao (40 publications)
  • David Dov (18 publications)
  • Chenyang Tao (15 publications)
  • Zhe Gan (11 publications)
  • Kevin J Liang (11 publications)

Best Publications

  • Bayesian Compressive Sensing

    Shihao Ji;Ya Xue;L. Carin

  • Digital technology and COVID-19.

    Daniel Shu Wei Ting;Lawrence Carin;Victor Dzau;Victor Dzau;Tien Y. Wong

  • Sparse multinomial logistic regression: fast algorithms and generalization bounds

    B. Krishnapuram;L. Carin;M.A.T. Figueiredo;A.J. Hartemink

  • Variational autoencoder for deep learning of images, labels and captions

    Yunchen Pu;Zhe Gan;Ricardo Henao;Xin Yuan

  • Multi-Task Learning for Classification with Dirichlet Process Priors

    Ya Xue;Xuejun Liao;Lawrence Carin;Balaji Krishnapuram

  • Multitask Compressive Sensing

    S. Ji;D. Dunson;L. Carin

  • Compressive Coded Aperture Spectral Imaging: An Introduction

    Gonzalo R. Arce;David J. Brady;Lawrence Carin;Henry Arguello

  • Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing

    Lihan He;L. Carin

  • An Integrated Clinico-Metabolomic Model Improves Prediction of Death in Sepsis

    Raymond J. Langley;Raymond J. Langley;Ephraim L. Tsalik;Ephraim L. Tsalik;Jennifer C. Van Velkinburgh;Seth W. Glickman;Seth W. Glickman

  • Coded aperture compressive temporal imaging

    Patrick Llull;Xuejun Liao;Xin Yuan;Jianbo Yang

  • Semantic Compositional Networks for Visual Captioning

    Zhe Gan;Chuang Gan;Xiaodong He;Yunchen Pu

  • Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images

    Mingyuan Zhou;Haojun Chen;John Paisley;Lu Ren

  • Probabilistic Topic Models

    David Blei;Lawrence Carin;David Dunson

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

    Jiachang Liu;Dinghan Shen;Yizhe Zhang;Bill Dolan

  • Joint Embedding of Words and Labels for Text Classification

    Guoyin Wang;Chunyuan Li;Wenlin Wang;Yizhe Zhang

  • Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

    Hao Fu;Chunyuan Li;Xiaodong Liu;Jianfeng Gao

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

    Dinghan Shen;Guoyin Wang;Wenlin Wang;Martin Renqiang Min

  • Nonparametric factor analysis with beta process priors

    John Paisley;Lawrence Carin

  • Bayesian Robust Principal Component Analysis

    Xinghao Ding;Lihan He;L. Carin

  • Certified Adversarial Robustness with Additive Noise

    Bai Li;Changyou Chen;Wenlin Wang;Lawrence Carin

  • Multi-Task Compressive Sensing

    Shihao Ji;David Dunson;Lawrence Carin

Frequent Co-Authors

Zhe Gan
Zhe Gan Microsoft (United States)
David B. Dunson
David B. Dunson Duke University
Xin Yuan
Xin Yuan Nanyang Technological University
Chunyuan Li
Chunyuan Li Microsoft (United States)
David J. Brady
David J. Brady University of Arizona
Liqun Chen
Liqun Chen University of Surrey
Guillermo Sapiro
Guillermo Sapiro Princeton University
Mingyuan Zhou
Mingyuan Zhou The University of Texas at Austin
Guoyin Wang
Guoyin Wang Chongqing University of Posts and Telecommunications
John Paisley
John Paisley Columbia University

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