Kumar Sricharan

According to our database, Kumar Sricharan authored at least 37 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models.

Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan

CoRR, 2024

DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models.

Wendi Cui, Jiaxin Zhang, Zhuohang Li, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan

CoRR, 2024

DECDM: Document Enhancement using Cycle-Consistent Diffusion Models.

Jiaxin Zhang, Joy Rimchala, Lalla Mouatadid, Kamalika Das, Kumar Sricharan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models.

Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Kumar Sricharan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation.

Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Kumar Sricharan, Murat Kantarcioglu, Bradley A. Malin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods.

Jiaxin Zhang, Kamalika Das, Kumar Sricharan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

SAC³: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency.

Jiaxin Zhang, Zhuohang Li, Kamalika Das, Bradley A. Malin, Kumar Sricharan

CoRR, 2023

Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision.

Jiaxin Zhang, Zhuohang Li, Kamalika Das, Kumar Sricharan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SAC³: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency.

Jiaxin Zhang, Zhuohang Li, Kamalika Das, Bradley A. Malin, Kumar Sricharan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

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

2021

Ensemble Estimation of Generalized Mutual Information With Applications to Genomics.

Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III

IEEE Trans. Inf. Theory, 2021

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 Information Divergence ^†.

Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III

Entropy, 2018

Building robust classifiers through generation of confident out of distribution examples.

Kumar Sricharan, Ashok Srivastava

CoRR, 2018

Improving robustness of classifiers by training against live traffic.

Kumar Sricharan, Kumar Kallurupalli, Ashok Srivastava

CoRR, 2018

ExprGAN: Facial Expression Editing With Controllable Expression Intensity.

Hui Ding, Kumar Sricharan, Rama Chellappa

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Semi-supervised Conditional GANs.

Kumar Sricharan, Raja Bala, Matthew Shreve, Hui Ding, Kumar Saketh, Jin Sun

CoRR, 2017

Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors.

Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III

CoRR, 2017

Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence.

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

AI Mag., 2017

Ensemble estimation of mutual information.

Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Recognizing Abnormal Heart Sounds Using Deep Learning.

Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan

Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

2016

Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data.

Juan Liu, Eric Bier, Aaron Wilson, John Alexis Guerra Gómez, Tomonori Honda, Kumar Sricharan, Leilani Gilpin, Daniel Davies

AI Mag., 2016

Improving convergence of divergence functional ensemble estimators.

Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III

Proceedings of the IEEE International Symposium on Information Theory, 2016

Classifying Heart Sound Recordings using Deep Convolutional Neural Networks and Mel-Frequency Cepstral Coefficients.

Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

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

Detecting Insider Threat from Enterprise Social and Online Activity Data.

Gaurang Gavai, Kumar Sricharan, Dave Gunning, Rob Rolleston, John Hanley, Mudita Singhal

Proceedings of the 7th ACM CCS International Workshop on Managing Insider Security Threats, 2015

2014

Multi-source fusion for anomaly detection: using across-domain and across-time peer-group consistency checks.

Hoda Eldardiry, Kumar Sricharan, Juan Liu, John Hanley, Bob Price, Oliver Brdiczka, Eugene Bart

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2014

Localizing anomalous changes in time-evolving graphs.

Kumar Sricharan, Kamalika Das

Proceedings of the International Conference on Management of Data, 2014

Predicting Company Quitting From Online Social Enterprise Activity.

Gaurang Gavai, Kumar Sricharan, Juan Liu, Oliver Brdiczka, John Hanley

Proceedings of the 8th Workshop on Social Network Mining and Analysis, 2014

2013

Ensemble Estimators for Multivariate Entropy Estimation.

Kumar Sricharan, Dennis L. Wei, Alfred O. Hero III

IEEE Trans. Inf. Theory, 2013

2012

Estimation of Nonlinear Functionals of Densities With Confidence.

Kumar Sricharan, Raviv Raich, Alfred O. Hero III

IEEE Trans. Inf. Theory, 2012

Ensemble weighted kernel estimators for multivariate entropy estimation.

Kumar Sricharan, Alfred O. Hero III

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Efficient anomaly detection using bipartite k-NN graphs.

Kumar Sricharan, Alfred O. Hero III

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

k-nearest neighbor estimation of entropies with confidence.

Kumar Sricharan, Raviv Raich, Alfred O. Hero III

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

A local dependence measure and its application to screening for high correlations in large data sets.

Kumar Sricharan, Alfred O. Hero III, Bala Rajaratnam

Proceedings of the 14th International Conference on Information Fusion, 2011

2010

Optimized intrinsic dimension estimator using nearest neighbor graphs.

Kumar Sricharan, Raviv Raich, Alfred O. Hero III

Proceedings of the IEEE International Conference on Acoustics, 2010