Kumar Sricharan
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View article: Ensemble Estimation of Generalized Mutual Information With Applications to Genomics
Ensemble Estimation of Generalized Mutual Information With Applications to Genomics Open
Mutual information is a measure of the dependence between random variables\nthat has been used successfully in myriad applications in many fields.\nGeneralized mutual information measures that go beyond classical Shannon mutual\ninformatio…
View article: Ensemble Estimation of Information Divergence †
Ensemble Estimation of Information Divergence † Open
Recent work has focused on the problem of nonparametric estimation of information divergence functionals between two continuous random variables. Many existing approaches require either restrictive assumptions about the density support set…
View article: ExprGAN: Facial Expression Editing With Controllable Expression Intensity
ExprGAN: Facial Expression Editing With Controllable Expression Intensity Open
Facial expression editing is a challenging task as it needs a high-level semantic understanding of the input face image. In conventional methods, either paired training data is required or the synthetic face’s resolution is low. Moreover,o…
View article: Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies
Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies Open
Data-driven anomaly detection methods suffer from the drawback of detecting all instances that are statistically rare, irrespective of whether the detected instances have realworld significance or not. In this paper, we are interested in t…
View article: ExprGAN: Facial Expression Editing with Controllable Expression Intensity
ExprGAN: Facial Expression Editing with Controllable Expression Intensity Open
Facial expression editing is a challenging task as it needs a high-level semantic understanding of the input face image. In conventional methods, either paired training data is required or the synthetic face resolution is low. Moreover, on…
View article: Reports of the Workshops of the 31st AAAI Conference on Artificial Intelligence
Reports of the Workshops of the 31st AAAI Conference on Artificial Intelligence Open
The AAAI‐17 workshop program included 17 workshops covering a wide range of topics in AI. Workshops were held Sunday and Monday, February 4– 5, 2017, at the Hilton San Francisco Union Square in San Francisco, California, USA.
View article: Recognizing Abnormal Heart Sounds Using Deep Learning
Recognizing Abnormal Heart Sounds Using Deep Learning Open
The work presented here applies deep learning to the task of automated cardiac auscultation, i.e. recognizing abnormalities in heart sounds. We describe an automated heart sound classification algorithm that combines the use of time-freque…
View article: Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors
Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors Open
The problem of accurate nonparametric estimation of distributional functionals (integral functionals of one or more probability distributions) has received recent interest due to their wide applicability in signal processing, information t…
View article: Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies
Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies Open
Data-driven anomaly detection methods suffer from the drawback of detecting all instances that are statistically rare, irrespective of whether the detected instances have real-world significance or not. In this paper, we are interested in …
View article: Ensemble Estimation of Mutual Information
Ensemble Estimation of Mutual Information Open
We derive the mean squared error convergence rates of kernel density-based plug-in estimators of mutual information measures between two multidimensional random variables $\mathbf{X}$ and $\mathbf{Y}$ for two cases: 1) $\mathbf{X}$ and $\m…
View article: Classifying Heart Sound Recordings using Deep Convolutional Neural Networks and Mel:Frequency Cepstral Coefficients
Classifying Heart Sound Recordings using Deep Convolutional Neural Networks and Mel:Frequency Cepstral Coefficients Open
We describe the development of an algorithm for the automatic classification of heart sound phonocardiogram waveforms as normal, abnormal or uncertain.Our approach consists of three major components: 1) Heart sound segmentation, 2) Transfo…
View article: Graph Analysis for Detecting Fraud, Waste, and Abuse in Health‐Care Data
Graph Analysis for Detecting Fraud, Waste, and Abuse in Health‐Care Data Open
Detection of fraud, waste, and abuse (FWA) is an important yet challenging problem. In this article, we describe a system to detect suspicious activities in large health‐care data sets. Each healthcare data set is viewed as a heterogeneous…
View article: Nonparametric Ensemble Estimation of Distributional Functionals
Nonparametric Ensemble Estimation of Distributional Functionals Open
Distributional functionals are integral functionals of one or more probability distributions. Distributional functionals include information measures such as entropy, mutual information, and divergence. Recent work has focused on the probl…