Optimized intrinsic dimension estimator using nearest neighbor graphs. - Kumar Sricharan; Raviv Raich; Alfred O. Hero III (ICASSP, 2010)

A local dependence measure and its application to screening for high correlations in large data sets. - Kumar Sricharan; Alfred O. Hero III; Bala Rajaratnam (FUSION, 2011)

k-nearest neighbor estimation of entropies with confidence. - Kumar Sricharan; Raviv Raich; Alfred O. Hero III (ISIT, 2011)

Efficient anomaly detection using bipartite k-NN graphs. - Kumar Sricharan; Alfred O. Hero III (NIPS, 2011)

Ensemble weighted kernel estimators for multivariate entropy estimation. - Kumar Sricharan; Alfred O. Hero III (NIPS, 2012)

Estimation of Nonlinear Functionals of Densities With Confidence. - Kumar Sricharan; Raviv Raich; Alfred O. Hero III (IEEE Trans. Inf. Theory, 2012)

Ensemble Estimators for Multivariate Entropy Estimation. - Kumar Sricharan; Dennis L. Wei; Alfred O. Hero III (IEEE Trans. Inf. Theory, 2013)

Predicting Company Quitting From Online Social Enterprise Activity. - Gaurang Gavai; Kumar Sricharan; Juan Liu 012; Oliver Brdiczka; John Hanley (SNAKDD, 2014)

Localizing anomalous changes in time-evolving graphs. - Kumar Sricharan; Kamalika Das (SIGMOD Conference, 2014)

Multi-source fusion for anomaly detection: using across-domain and across-time peer-group consistency checks. - Hoda Eldardiry; Kumar Sricharan; Juan Liu 012; John Hanley; Bob Price; Oliver Brdiczka; Eugene Bart (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2014)

Detecting Insider Threat from Enterprise Social and Online Activity Data. - Gaurang Gavai; Kumar Sricharan; Dave Gunning; Rob Rolleston; John Hanley; Mudita Singhal (MIST@CCS, 2015)

Supervised and Unsupervised methods to detect Insider Threat from Enterprise Social and Online Activity Data. - Gaurang Gavai; Kumar Sricharan; Dave Gunning; John Hanley; Mudita Singhal; Rob Rolleston (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2015)

Classifying Heart Sound Recordings using Deep Convolutional Neural Networks and Mel-Frequency Cepstral Coefficients. - Jonathan Rubin; Rui Abreu 001; Anurag Ganguli; Saigopal Nelaturi; Ion Matei; Kumar Sricharan (CinC, 2016)

Improving convergence of divergence functional ensemble estimators. - Kevin R. Moon; Kumar Sricharan; Kristjan H. Greenewald; Alfred O. Hero III (ISIT, 2016)

Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data. - Juan Liu; Eric Bier; Aaron Wilson; John Alexis Guerra Gómez; Tomonori Honda 001; Kumar Sricharan; Leilani Gilpin; Daniel Davies (AI Mag., 2016)

Recognizing Abnormal Heart Sounds Using Deep Learning. - Jonathan Rubin; Rui Abreu 001; Anurag Ganguli; Saigopal Nelaturi; Ion Matei; Kumar Sricharan (KDH@IJCAI, 2017)

Ensemble estimation of mutual information. - Kevin R. Moon; Kumar Sricharan; Alfred O. Hero III (ISIT, 2017)

Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. - Monica Anderson 001; 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; et al. (AI Mag., 2017)

Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors. - Kevin R. Moon; Kumar Sricharan; Alfred O. Hero III (CoRR, 2017)

Semi-supervised Conditional GANs. - Kumar Sricharan; Raja Bala; Matthew Shreve; Hui Ding; Kumar Saketh; Jin Sun 011 (CoRR, 2017)

ExprGAN: Facial Expression Editing With Controllable Expression Intensity. - Hui Ding 002; Kumar Sricharan; Rama Chellappa (AAAI, 2018)

Improving robustness of classifiers by training against live traffic. - Kumar Sricharan; Kumar Kallurupalli; Ashok Srivastava (CoRR, 2018)

Building robust classifiers through generation of confident out of distribution examples. - Kumar Sricharan; Ashok Srivastava (CoRR, 2018)

Ensemble Estimation of Information Divergence †. - Kevin R. Moon; Kumar Sricharan; Kristjan H. Greenewald; Alfred O. Hero III (Entropy, 2018)

Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies. - Elizabeth Hou; Kumar Sricharan; Alfred O. Hero III (IEEE Trans. Inf. Forensics Secur., 2018)

Ensemble Estimation of Generalized Mutual Information With Applications to Genomics. - Kevin R. Moon; Kumar Sricharan; Alfred O. Hero III (IEEE Trans. Inf. Theory, 2021)

XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification. - Frej Berglind; Haron Temam; Supratik Mukhopadhyay; Kamalika Das; Md Saiful Islam Sajol; Kumar Sricharan; Kumar Kallurupalli (CoRR, 2022)

SAC³: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency. - Jiaxin Zhang 005; Zhuohang Li; Kamalika Das; Bradley A. Malin; Kumar Sricharan (EMNLP (Findings), 2023)

Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision. - Jiaxin Zhang 005; Zhuohang Li; Kamalika Das; Kumar Sricharan (NeurIPS, 2023)

SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency. - Jiaxin Zhang 005; Zhuohang Li; Kamalika Das; Bradley A. Malin; Kumar Sricharan (CoRR, 2023)

Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods. - Jiaxin Zhang 005; Kamalika Das; Kumar Sricharan (AISTATS, 2024)

Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models. - Wendi Cui; Zhuohang Li; Damien Lopez; Kamalika Das; Bradley A. Malin; Kumar Sricharan; Jiaxin Zhang 005 (EMNLP (Industry Track), 2024)

Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation. - Zhuohang Li; Jiaxin Zhang 005; Chao Yan 004; Kamalika Das; Kumar Sricharan; Murat Kantarcioglu; Bradley A. Malin (EMNLP, 2024)

Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models. - Jiaxin Zhang 005; Wendi Cui; Yiran Huang; Kamalika Das; Kumar Sricharan (EMNLP, 2024)

DECDM: Document Enhancement using Cycle-Consistent Diffusion Models. - Jiaxin Zhang 005; Joy Rimchala; Lalla Mouatadid; Kamalika Das; Kumar Sricharan (WACV, 2024)

DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models. - Wendi Cui; Jiaxin Zhang 005; Zhuohang Li; Damien Lopez; Kamalika Das; Bradley A. Malin; Kumar Sricharan (CoRR, 2024)

PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models. - Wendi Cui; Jiaxin Zhang 005; Zhuohang Li; Hao Sun; Damien Lopez; Kamalika Das; Bradley A. Malin; Kumar Sricharan (CoRR, 2024)

SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization. - Wendi Cui; Jiaxin Zhang 005; Zhuohang Li; Hao Sun; Damien Lopez; Kamalika Das; Bradley A. Malin; Kumar Sricharan (ACL (1), 2025)

Heuristic-based Search Algorithm in Automatic Instruction-focused Prompt Optimization: A Survey. - Wendi Cui; Jiaxin Zhang 005; Zhuohang Li; Hao Sun; Damien Lopez; Kamalika Das; Bradley A. Malin; Kumar Sricharan (ACL (Findings), 2025)

Automatic Prompt Optimization via Heuristic Search: A Survey. - Wendi Cui; Jiaxin Zhang 005; Zhuohang Li; Hao Sun; Damien Lopez; Kamalika Das; Bradley A. Malin; Kumar Sricharan (CoRR, 2025)

SCE: Scalable Consistency Ensembles Make Blackbox Large Language Model Generation More Reliable. - Jiaxin Zhang 005; Zhuohang Li; Wendi Cui; Kamalika Das; Bradley A. Malin; Kumar Sricharan (CoRR, 2025)