Kumar Sricharan

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 30

Top Topics

Diffusion Models

Consistency Checks

Top Venues

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl.

Publications

Jiaxin Zhang, Kamalika Das, Kumar Sricharan
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods. AISTATS (2024)
Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan
PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models. CoRR (2024)
Wendi Cui, Jiaxin Zhang, Zhuohang Li, Lopez Damien, Kamalika Das, Bradley A. Malin, Kumar Sricharan
DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models. CoRR (2024)
Jiaxin Zhang, Kamalika Das, Kumar Sricharan
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods. CoRR (2024)
Jiaxin Zhang, Joy Rimchala, Lalla Mouatadid, Kamalika Das, Kumar Sricharan
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models. WACV (2024)
Jiaxin Zhang, Zhuohang Li, Kamalika Das, Kumar Sricharan
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision. NeurIPS (2023)
Jiaxin Zhang, Joy Rimchala, Lalla Mouatadid, Kamalika Das, Kumar Sricharan
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models. CoRR (2023)
Jiaxin Zhang, Zhuohang Li, Kamalika Das, Bradley A. Malin, Kumar Sricharan
SAC³: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency. EMNLP (Findings) (2023)
Jiaxin Zhang, Zhuohang Li, Kamalika Das, Kumar Sricharan
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision. CoRR (2023)
Jiaxin Zhang, Zhuohang Li, Kamalika Das, Bradley A. Malin, Kumar Sricharan
: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency. CoRR (2023)
Frej Berglind, Haron Temam, Supratik Mukhopadhyay, Kamalika Das, Md Saiful Islam Sajol, Kumar Sricharan, Kumar Kallurupalli
XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification. CoRR (2022)
Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III
Ensemble Estimation of Generalized Mutual Information With Applications to Genomics. IEEE Trans. Inf. Theory 67 (9) (2021)
Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III
. Entropy 20 (8) (2018)
Kumar Sricharan, Ashok Srivastava
Building robust classifiers through generation of confident out of distribution examples. CoRR (2018)
Hui Ding, Kumar Sricharan, Rama Chellappa
ExprGAN: Facial Expression Editing With Controllable Expression Intensity. AAAI (2018)
Kumar Sricharan, Kumar Kallurupalli, Ashok Srivastava
Improving robustness of classifiers by training against live traffic. CoRR (2018)
Elizabeth Hou, Kumar Sricharan, Alfred O. Hero III
Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies. IEEE Trans. Inf. Forensics Secur. 13 (6) (2018)
Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan
Recognizing Abnormal Heart Sounds Using Deep Learning. KHD@IJCAI (2017)
Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III
Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors. CoRR (2017)
Kumar Sricharan, Raja Bala, Matthew Shreve, Hui Ding, Kumar Saketh, Jin Sun
Semi-supervised Conditional GANs. CoRR (2017)
Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III
Ensemble estimation of mutual information. ISIT (2017)
Elizabeth Hou, Kumar Sricharan, Alfred O. Hero III
Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies. CoRR (2017)
Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III
Ensemble Estimation of Mutual Information. CoRR (2017)
Hui Ding, Kumar Sricharan, Rama Chellappa
ExprGAN: Facial Expression Editing with Controllable Expression Intensity. CoRR (2017)
Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan
Recognizing Abnormal Heart Sounds Using Deep Learning. CoRR (2017)
Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38 (3) (2017)
Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III
Improving Convergence of Divergence Functional Ensemble Estimators. CoRR (2016)
Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan
Classifying Heart Sound Recordings using Deep Convolutional Neural Networks and Mel-Frequency Cepstral Coefficients. CinC (2016)
Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III
Improving convergence of divergence functional ensemble estimators. ISIT (2016)
Juan Liu, Eric Bier, Aaron Wilson, John Alexis Guerra Gómez, Tomonori Honda, Kumar Sricharan, Leilani Gilpin, Daniel Davies
Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data. AI Mag. 37 (2) (2016)
Gaurang Gavai, Kumar Sricharan, Dave Gunning, Rob Rolleston, John Hanley, Mudita Singhal
Detecting Insider Threat from Enterprise Social and Online Activity Data. MIST@CCS (2015)
Gaurang Gavai, Kumar Sricharan, Dave Gunning, John Hanley, Mudita Singhal, Rob Rolleston
Supervised and Unsupervised methods to detect Insider Threat from Enterprise Social and Online Activity Data. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 6 (4) (2015)
Juan Liu, Eric Bier, Aaron Wilson, Tomonori Honda, Kumar Sricharan, Leilani Gilpin, John Alexis Guerra Gómez, Daniel Davies
Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data. AAAI (2015)
Kumar Sricharan, Kamalika Das
Localizing anomalous changes in time-evolving graphs. SIGMOD Conference (2014)
Gaurang Gavai, Kumar Sricharan, Juan Liu, Oliver Brdiczka, John Hanley
Predicting Company Quitting From Online Social Enterprise Activity. SNAKDD (2014)
Hoda Eldardiry, Kumar Sricharan, Juan Liu, John Hanley, Bob Price, Oliver Brdiczka, Eugene Bart
Multi-source fusion for anomaly detection: using across-domain and across-time peer-group consistency checks. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 5 (2) (2014)
Kumar Sricharan, Dennis L. Wei, Alfred O. Hero III
Ensemble Estimators for Multivariate Entropy Estimation. IEEE Trans. Inf. Theory 59 (7) (2013)
Kumar Sricharan, Alfred O. Hero III
Ensemble weighted kernel estimators for multivariate entropy estimation. NIPS (2012)
Kumar Sricharan, Raviv Raich, Alfred O. Hero III
Estimation of Nonlinear Functionals of Densities With Confidence. IEEE Trans. Inf. Theory 58 (7) (2012)
Kumar Sricharan, Alfred O. Hero III, Bala Rajaratnam
A local dependence measure and its application to screening for high correlations in large data sets. FUSION (2011)
Kumar Sricharan, Alfred O. Hero III
Efficient anomaly detection using bipartite k-NN graphs. NIPS (2011)
Kumar Sricharan, Raviv Raich, Alfred O. Hero III
k-nearest neighbor estimation of entropies with confidence. ISIT (2011)
Kumar Sricharan, Raviv Raich, Alfred O. Hero III
Optimized intrinsic dimension estimator using nearest neighbor graphs. ICASSP (2010)