| Semantic consistency for assuring reliability of large language models H Raj, V Gupta, D Rosati, S Majumdar arXiv preprint arXiv:2308.09138, 2023 | 2 | 2023 |
| Global and local differentially private release of count-weighted graphs FT Brito, VAE Farias, C Flynn, S Majumdar, JC Machado, D Srivastava Proceedings of the ACM on Management of Data 1 (2), 1-25, 2023 | 3 | 2023 |
| Intrinsic sliced wasserstein distances for comparing collections of probability distributions on manifolds and graphs RM Rustamov, S Majumdar International Conference on Machine Learning, 2023 | 10 | 2023 |
| Simultaneous selection of multiple important single nucleotide polymorphisms in familial genome wide association studies data S Majumdar, S Basu, M McGue, S Chatterjee Scientific reports 13 (1), 8476, 2023 | | 2023 |
| Automated, user-driven, and personalized curation of short-form media segments S Majumdar, D Paul, E Zavesky US Patent App. 18/155,055, 2023 | | 2023 |
| Cognitive persona embeddings for secure omni-channel personalized recommendations JF Paiement, E Zavesky, M Abdel-Wahab, S Majumdar, J Dong US Patent App. 18/060,840, 2023 | | 2023 |
| Compositing Non-immersive Media Content to Generate an Adaptable Immersive Content Metaverse E Zavesky, L Alexander, D Gibbon, WL Hsu, T Xu, M Abdel-Wahab, ... US Patent App. 17/471,155, 2023 | | 2023 |
| Training Data Fidelity for Machine Learning Applications through Intelligent Merger of Curated Auxiliary Data B Krishnamurthy, S Majumdar US Patent App. 17/408,384, 2023 | | 2023 |
| Compensating for Vulnerabilities in Machine Learning Algorithms B Krishnamurthy, S Majumdar US Patent App. 17/408,385, 2023 | | 2023 |
| Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI Pipelines Y Pruksachatkun, M Mcateer, S Majumdar O'Reilly Media, Incorporated, 2023 | 2 | 2023 |
| Knowledge Discovery based on Indirect Inference of Association N Derzsy, S Majumdar, R Malik US Patent App. 17/373,385, 2023 | 2 | 2023 |
| Cognitive persona embeddings for secure omni-channel personalized recommendations JF Paiement, E Zavesky, M Abdel-Wahab, S Majumdar, J Dong US Patent 11,546,435, 2023 | | 2023 |
| Fairness, Explainability, Privacy, and Robustness for Trustworthy Algorithmic Decision Making S Majumdar Big Data Analytics in Chemoinformatics and Bioinformatics, 61-95, 2023 | 5 | 2023 |
| Network Security Modelling with Distributional Data S Majumdar, G Subramaniam Conference for Applied Machine Learning for Information Security 2022, 2022 | | 2022 |
| System and method for dynamic manipulation of content presentation E Zavesky, J Pratt, S Majumdar US Patent App. 17/876,630, 2022 | | 2022 |
| Measuring Reliability of Large Language Models through Semantic Consistency H Raj, D Rosati, S Majumdar NeurIPS ML Safety Workshop, NeurIPS 2022, 2022 | 12 | 2022 |
| Towards Algorithmic Fairness in Space-Time: Filling in Black Holes C Flynn, A Guha, S Majumdar, D Srivastava, Z Zhou Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022 | | 2022 |
| Data-driven Enrichment of Database Elements S Majumdar, R Malik US Patent App. 17/306,300, 2022 | 1 | 2022 |
| Increasing Inclusivity in Machine Learning Outputs C Brooks, B Krishnamurthy, S Majumdar US Patent App. 17/227,311, 2022 | | 2022 |
| Feature selection using e-values S Majumdar, S Chatterjee International Conference on Machine Learning, 14753-14773, 2022 | 2 | 2022 |
Subhash BasakUniversity of Minnesota DuluthVerified email at d.umn.edu
