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List of works by Lawrence Carin

A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation.

scientific article published on January 2009

A Bayesian Nonparametric Approach to Image Super-Resolution

scientific article published on February 2015

A Bayesian approach to joint feature selection and classifier design

scientific article

A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks

scientific article published in January 2017

A host transcriptional signature for presymptomatic detection of infection in humans exposed to influenza H1N1 or H3N2.

scientific article

A host-based RT-PCR gene expression signature to identify acute respiratory viral infection

scientific article

A modified SPIHT algorithm for image coding with a joint MSE and classification distortion measure

scientific article published in March 2006

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

scientific article published in January 2017

Adversarial Symmetric Variational Autoencoder

scientific article published in January 2017

Adversarial Text Generation via Feature-Mover's Distance

An active learning approach for rapid characterization of endothelial cells in human tumors

scientific article

An inner-loop free solution to inverse problems using deep neural networks

scientific article published in January 2017

An integrated clinico-metabolomic model improves prediction of death in sepsis

scientific article published on July 2013

An integrated transcriptome and expressed variant analysis of sepsis survival and death

scientific article

Analysis of Brain States from Multi-Region LFP Time-Series

scientific article published in January 2014

Application of a machine learning algorithm to predict malignancy in thyroid cytopathology

scientific article published on 03 February 2020

Application of the theory of optimal experiments to adaptive electromagnetic-induction sensing of buried targets

scientific article

Applying compressive sensing to TEM video: a substantial frame rate increase on any camera

article

Artificial Intelligence Mapping of Structure to Function in Glaucoma

scientific article published on 30 March 2020

Augment-and-Conquer Negative Binomial Processes

scientific article published in January 2012

AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning

scientific article published in November 2020

Bayesian Gaussian Copula Factor Models for Mixed Data

scientific article

Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling

scientific article published in January 2014

Bayesian Robust Principal Component Analysis

scientific article published on May 19, 2011

Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies

scientific article

Bayesian joint analysis of heterogeneous genomics data

scientific article

Brain-wide Electrical Spatiotemporal Dynamics Encode Depression Vulnerability

scientific article published in March 2018

Calibrating CNNs for Lifelong Learning

scholarly article by Pravendra Singh et al published November 2020 in Advances in Neural Information Processing Systems 33

Calibration and Uncertainty in Neural Time-to-Event Modeling

scientific article published on 29 October 2020

Certified Adversarial Robustness with Additive Noise

Classification with Incomplete Data Using Dirichlet Process Priors

scientific article

Coded aperture compressive temporal imaging

scientific article

Compressed sampling strategies for tomography

scientific article published in July 2014

Compressive Sensing of Signals from a GMM with Sparse Precision Matrices

scientific article published in January 2014

Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds

scientific article published on December 2010

Compressive sensing by learning a Gaussian mixture model from measurements

scientific article published on 29 October 2014

Continuing progress of spike sorting in the era of big data

scientific article published on 08 March 2019

Convolutional neural network to identify symptomatic Alzheimer's disease using multimodal retinal imaging

scientific article published on 26 November 2020

Cross-Spectral Factor Analysis

scientific article published in January 2017

Deconvolutional Paragraph Representation Learning

scientific article published in January 2017

Deep Poisson Factor Modeling

Deep Temporal Sigmoid Belief Networks for Sequence Modeling

Deep learning with hierarchical convolutional factor analysis

scientific article

Designed Measurements for Vector Count Data

Detection of viruses via statistical gene expression analysis

scientific article published on 19 July 2010

Diffusion Maps for Textual Network Embedding

Digital technology and COVID-19

scientific article published on 01 April 2020

Distilled Wasserstein Learning for Word Embedding and Topic Modeling

Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture

Dynamic Rank Factor Model for Text Streams

scientific article published in January 2014

Dynamically Timed Stimulation of Corticolimbic Circuitry Activates a Stress-Compensatory Pathway.

scientific article published on 15 June 2017

Dysregulation of Prefrontal Cortex-Mediated Slow-Evolving Limbic Dynamics Drives Stress-Induced Emotional Pathology

scientific article published on 21 June 2016

Efficient patch-based approach for compressive depth imaging

scientific article published in September 2016

Estimation of the CSA-ODF using Bayesian compressed sensing of multi-shell HARDI.

scientific article

GAN Memory with No Forgetting

GP Kernels for Cross-Spectrum Analysis

Gene expression signatures diagnose influenza and other symptomatic respiratory viral infections in humans

scientific article

Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices

scientific article published in January 2011

Hierarchical bayesian modeling of topics in time-stamped documents

scientific article published on 01 June 2010

Hierarchical factor modeling of proteomics data

scientific article published in February 2012

High-Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections

scientific article

Host gene expression classifiers diagnose acute respiratory illness etiology

scientific article published on January 2016

Improving Textual Network Learning with Variational Homophilic Embeddings

Inference of gene networks associated with the host response to infectious disease

article

Infinite hidden Markov models for unusual-event detection in video

scientific article published in May 2008

Information-Theoretic Compressive Measurement Design

scientific article

Integrated Non-Factorized Variational Inference

scientific article published in January 2013

Joint Analysis of Time-Evolving Binary Matrices and Associated Documents

Joint Modeling of a Matrix with Associated Text via Latent Binary Features

scientific article published in January 2012

Joint classifier and feature optimization for comprehensive cancer diagnosis using gene expression data

scientific article published in January 2004

Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods

Kernel-matching pursuits with arbitrary loss functions

scientific article published on 27 January 2009

Laplacian Hamiltonian Monte Carlo

scientific article published in 2016

Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings

scientific article published in January 2015

Latent protein trees

scientific article published in June 2013

Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurements

scientific article published on March 2011

Learning to Explore and Exploit in POMDPs

scientific article published in January 2009

Linear Feature Encoding for Reinforcement Learning

scientific article published in January 2016

Logistic Stick-Breaking Process.

scientific article

Lognormal and Gamma Mixed Negative Binomial Regression

scientific article published on 01 January 2012

Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes

scientific article published on 09 October 2020

Multiaspect target detection via the infinite hidden Markov model

scientific article published on May 2007

Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling

scientific article published on 30 July 2013

Negative Binomial Process Count and Mixture Modeling

scientific article published on February 2015

Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations

Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous Space-Time Poisson Process

scientific article published on December 2012

Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images

scientific article

Observations and Lessons Learned From the Artificial Intelligence Studies for Diabetic Retinopathy Screening

scientific article published on 13 June 2019

On Artificial Intelligence and Deep Learning Within Medical Education

scientific article published on 04 August 2020

On Deep Learning for Medical Image Analysis

scientific article published on 01 September 2018

On Fenchel Mini-Max Learning

On Semi-Supervised Classification

scientific article published in January 2005

On classification with incomplete data

scientific article

On the Analysis of Multi-Channel Neural Spike Data

scientific article published in January 2011

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

scholarly article by Changyou Chen et al published 2015 in Advances in Neural Information Processing Systems 28

On the relations of LFPs & Neural Spike Trains

scientific article published in January 2014

Ouroboros: On Accelerating Training of Transformer-Based Language Models

Parallel implementation of the biorthogonal multiresolution time-domain method

scientific article published on May 1, 2003

Patient clustering with uncoded text in electronic medical records

scientific article published on 16 November 2013

Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability

scientific article published in November 2020

Preconditioned Spectral Descent for Deep Learning

scholarly article by David E. Carlson et al published 2015 in Advances in Neural Information Processing Systems 28

Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model

scientific article published on 01 August 2018

Predicting Viral Infection From High-Dimensional Biomarker Trajectories

scientific article published on January 2011

Probabilistic Topic Models: A focus on graphical model design and applications to document and image analysis

scientific article published on November 2010

Quantitative arbor analytics: unsupervised harmonic co-clustering of populations of brain cell arbors based on L-measure

scientific article published on January 2015

Radial Basis Function Network for Multi-task Learning

scientific article published in January 2006

Real-Time Inference for a Gamma Process Model of Neural Spiking

Reconsidering Generative Objectives For Counterfactual Reasoning

Relationship between intracortical electrode design and chronic recording function.

scientific article

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

scientific article published in January 2019

Scalable Model Selection for Belief Networks

scientific article published in January 2017

Semi-Supervised Multitask Learning

scientific article published in January 2008

Semisupervised learning of hidden Markov models via a homotopy method

scientific article published in February 2009

Semisupervised multitask learning

scientific article published in June 2009

Sparse multinomial logistic regression: fast algorithms and generalization bounds

scientific article published in June 2005

Spectral-temporal compressive imaging

scientific article published on 01 September 2015

Stochastic Gradient MCMC with Stale Gradients

scientific article published in January 2016

Targeting EEG/LFP Synchrony with Neural Nets

scientific article published in January 2017

Temporal dynamics of host molecular responses differentiate symptomatic and asymptomatic influenza a infection

scientific article

The Kernel Beta Process

scientific article published in January 2011

The potential for Bayesian compressive sensing to significantly reduce electron dose in high-resolution STEM images

scientific article

Time-reversal imaging for classification of submerged elastic targets via Gibbs sampling and the Relevance Vector Machine

scientific article published in April 2005

Topic Modeling with Nonparametric Markov Tree

scientific article published on 01 January 2011

Towards Unifying Hamiltonian Monte Carlo and Slice Sampling

scientific article published in January 2016

Tree-Structured Infinite Sparse Factor Model

scientific article published on 01 January 2011

Triangle Generative Adversarial Networks

scientific article published in January 2017

VAE Learning via Stein Variational Gradient Descent

scientific article published in January 2017

Variational Autoencoder for Deep Learning of Images, Labels and Captions

scientific article published in January 2016

Variational Bayes for continuous hidden Markov models and its application to active learning

scientific article published in April 2006

Video compressive sensing using Gaussian mixture models

scientific article published on 30 July 2014

Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images

scientific article published on 25 September 2020

Wideband time-reversal imaging of an elastic target in an acoustic waveguide

scientific article published in January 2004

Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations

scientific article published on 01 July 2020