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2020 – today
- 2024
[c20]Jiaxin Zhang, Kamalika Das, Kumar Sricharan:
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods. AISTATS 2024: 2917-2925- [c19]Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Kumar Sricharan, Murat Kantarcioglu, Bradley Malin:
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation. EMNLP 2024: 6130-6151 - [c18]Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Kumar Sricharan:
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models. EMNLP 2024: 21456-21473 - [c17]Jiaxin Zhang, Joy Rimchala, Lalla Mouatadid, Kamalika Das, Kumar Sricharan:
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models. WACV 2024: 8021-8030 - [i16]Wendi Cui, Jiaxin Zhang, Zhuohang Li, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan:
DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models. CoRR abs/2401.02132 (2024) - [i15]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 abs/2402.11347 (2024) - [i14]Jiaxin Zhang, Kamalika Das, Kumar Sricharan:
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods. CoRR abs/2402.12664 (2024) - 2023
- [c16]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: 15445-15458 - [c15]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 - [i13]Jiaxin Zhang, Zhuohang Li, Kamalika Das, Kumar Sricharan:
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision. CoRR abs/2310.20153 (2023) - [i12]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. CoRR abs/2311.01740 (2023) - [i11]Jiaxin Zhang, Joy Rimchala, Lalla Mouatadid, Kamalika Das, Kumar Sricharan:
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models. CoRR abs/2311.09625 (2023) - 2022
- [i10]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 abs/2208.00629 (2022) - 2021
- [j9]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): 5963-5996 (2021)
2010 – 2019
- 2018
- [j8]Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III:
Ensemble Estimation of Information Divergence †. Entropy 20(8): 560 (2018) - [j7]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): 1446-1459 (2018) - [c14]Hui Ding, Kumar Sricharan, Rama Chellappa:
ExprGAN: Facial Expression Editing With Controllable Expression Intensity. AAAI 2018: 6781-6788 - [i9]Kumar Sricharan, Kumar Kallurupalli, Ashok Srivastava:
Improving robustness of classifiers by training against live traffic. CoRR abs/1812.00237 (2018) - [i8]Kumar Sricharan, Ashok Srivastava:
Building robust classifiers through generation of confident out of distribution examples. CoRR abs/1812.00239 (2018) - 2017
- [j6]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): 72-82 (2017) - [c13]Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan:
Recognizing Abnormal Heart Sounds Using Deep Learning. KDH@IJCAI 2017: 13-19 - [c12]Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III:
Ensemble estimation of mutual information. ISIT 2017: 3030-3034 - [i7]Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III:
Ensemble Estimation of Mutual Information. CoRR abs/1701.08083 (2017) - [i6]Elizabeth Hou, Kumar Sricharan, Alfred O. Hero III:
Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies. CoRR abs/1702.05148 (2017) - [i5]Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III:
Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors. CoRR abs/1707.03083 (2017) - [i4]Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan:
Recognizing Abnormal Heart Sounds Using Deep Learning. CoRR abs/1707.04642 (2017) - [i3]Kumar Sricharan, Raja Bala, Matthew Shreve, Hui Ding, Kumar Saketh, Jin Sun:
Semi-supervised Conditional GANs. CoRR abs/1708.05789 (2017) - [i2]Hui Ding, Kumar Sricharan, Rama Chellappa:
ExprGAN: Facial Expression Editing with Controllable Expression Intensity. CoRR abs/1709.03842 (2017) - 2016
- [j5]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): 33-46 (2016) - [c11]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 - [c10]Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III:
Improving convergence of divergence functional ensemble estimators. ISIT 2016: 1133-1137 - [i1]Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III:
Improving Convergence of Divergence Functional Ensemble Estimators. CoRR abs/1601.06884 (2016) - 2015
- [j4]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): 47-63 (2015) - [c9]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: 3912-3919 - [c8]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: 13-20 - 2014
- [j3]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): 39-58 (2014) - [c7]Gaurang Gavai, Kumar Sricharan, Juan Liu, Oliver Brdiczka, John Hanley:
Predicting Company Quitting From Online Social Enterprise Activity. SNAKDD 2014: 11:1-11:5 - [c6]Kumar Sricharan, Kamalika Das:
Localizing anomalous changes in time-evolving graphs. SIGMOD Conference 2014: 1347-1358 - 2013
- [j2]Kumar Sricharan, Dennis L. Wei, Alfred O. Hero III:
Ensemble Estimators for Multivariate Entropy Estimation. IEEE Trans. Inf. Theory 59(7): 4374-4388 (2013) - 2012
- [j1]Kumar Sricharan, Raviv Raich, Alfred O. Hero III:
Estimation of Nonlinear Functionals of Densities With Confidence. IEEE Trans. Inf. Theory 58(7): 4135-4159 (2012) - [c5]Kumar Sricharan, Alfred O. Hero III:
Ensemble weighted kernel estimators for multivariate entropy estimation. NIPS 2012: 575-583 - 2011
- [c4]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: 1-8 - [c3]Kumar Sricharan, Raviv Raich, Alfred O. Hero III:
k-nearest neighbor estimation of entropies with confidence. ISIT 2011: 1205-1209 - [c2]Kumar Sricharan, Alfred O. Hero III:
Efficient anomaly detection using bipartite k-NN graphs. NIPS 2011: 478-486 - 2010
- [c1]Kumar Sricharan, Raviv Raich, Alfred O. Hero III:
Optimized intrinsic dimension estimator using nearest neighbor graphs. ICASSP 2010: 5418-5421
Coauthor Index
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