Kumar Sricharan

Intuit (United States) — United States

Mathematics · Physical Sciences

16h-index1.2kcitations34works0.02yr avg
OpenAlex↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Statistical Methods and Inference(15), Anomaly Detection Techniques and Applications(8), Network Security and Intrusion Detection(5), Distributed Sensor Networks and Detection Algorithms(5), Machine Learning and Algorithms(4)

Publications34 total

Ensemble Estimation of Generalized Mutual Information With Applications to Genomics
IEEE Transactions on Information Theory·2021· 11 citedOpen Access
Ensemble Estimation of Information Divergence †
Entropy·2018· 23 citedOpen Access
ExprGAN: Facial Expression Editing With Controllable Expression Intensity
Proceedings of the AAAI Conference on Artificial Intelligence·2018· 180 citedOpen Access
Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies
IEEE Transactions on Information Forensics and Security·2018· 15 citedOpen Access
ExprGAN: Facial Expression Editing with Controllable Expression Intensity
arXiv (Cornell University)·2017· 82 citedOpen Access
Reports of the Workshops of the 31st AAAI Conference on Artificial Intelligence
AI Magazine·2017· 1 citedOpen Access
Recognizing Abnormal Heart Sounds Using Deep Learning
arXiv (Cornell University)·2017· 37 citedOpen Access
Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors
arXiv (Cornell University)·2017· 3 citedOpen Access
Ensemble estimation of mutual information
2017· 45 cited
Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies
arXiv (Cornell University)·2017· 2 citedOpen Access
Ensemble Estimation of Mutual Information
arXiv (Cornell University)·2017· 1 citedOpen Access
Classifying Heart Sound Recordings using Deep Convolutional Neural Networks and Mel:Frequency Cepstral Coefficients
Computing in cardiology·2016· 134 citedOpen Access
Improving convergence of divergence functional ensemble estimators
2016· 26 cited
Graph Analysis for Detecting Fraud, Waste, and Abuse in Health‐Care Data
AI Magazine·2016· 56 citedOpen Access
Nonparametric Ensemble Estimation of Distributional Functionals
arXiv (Cornell University)·2016· 12 citedOpen Access
Improving Convergence of Divergence Functional Ensemble Estimators
2016· 3 cited
Detecting Insider Threat from Enterprise Social and Online Activity Data
2015· 65 cited
Localizing anomalous changes in time-evolving graphs
2014· 72 cited
Simple Sensitivity Analysis for Orion Guidance Navigation and Control
NASA Technical Reports Server (NASA)·2013
Simple Sensitivity Analysis for Orion GNC
AIAA Guidance, Navigation, and Control (GNC) Conference·2013· 5 cited
page 1 of 2Next →

Frequent Co-authors

Alfred O. Hero(23), Kevin R. Moon(8), Raviv Raich(6), Kristjan Greenewald(4), Rodney Martin(3), Hui Ding(2), Rama Chellappa(2), Jonathan Rubin(2), Rui Abreu(2), Anurag Ganguli(2), Saigopal Nelaturi(2), Ion Matei(2), Dennis Wei(2), John Hanley(2), Hoda Eldardiry(2), Elizabeth Hou(2), Tom Pressburger(2), Brian Hoelscher(2), Wei Gong(1), Hoshin V. Gupta(1)