| Distributional preference alignment of llms via optimal transport I Melnyk, Y Mroueh, B Belgodere, M Rigotti, A Nitsure, M Yurochkin, ... Advances in Neural Information Processing Systems 37, 104412-104442, 2024 | 15 | 2024 |
| Auditing and generating synthetic data with controllable trust trade-offs B Belgodere, P Dognin, A Ivankay, I Melnyk, Y Mroueh, A Mojsilovic, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2024 | 15 | 2024 |
| Detection of forgery in art paintings using machine learning R Nemade, A Nitsure, P Hirve, SB Mane Int. J. Innov. Res. Sci. Eng. Technol 6 (5), 8681-8692, 2017 | 15 | 2017 |
| Vhdl-eval: A framework for evaluating large language models in vhdl code generation P Vijayaraghavan, L Shi, S Ambrogio, C Mackin, A Nitsure, D Beymer, ... 2024 IEEE LLM Aided Design Workshop (LAD), 1-6, 2024 | 7 | 2024 |
| Unlocking new york city crime insights using relational database embeddings A Nitsure, R Bordawekar, J Neves arXiv preprint arXiv:2005.09617, 2020 | 4 | 2020 |
| Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization P Vijayaraghavan, A Nitsure, C Mackin, L Shi, S Ambrogio, A Haran, ... Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning …, 2024 | 3 | 2024 |
| Risk assessment and statistical significance in the age of foundation models A Nitsure, Y Mroueh, M Rigotti, K Greenewald, B Belgodere, M Yurochkin, ... arXiv preprint arXiv:2310.07132, 2023 | 3 | 2023 |
| Interpretation of results of a semantic query over a structured database R Bordawekar, A Nitsure US Patent App. 17/184,303, 2022 | 2 | 2022 |
| Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking G Rioux, A Nitsure, M Rigotti, K Greenewald, Y Mroueh arXiv preprint arXiv:2406.06425, 2024 | 1 | 2024 |
| Risk aware benchmarking of large language models A Nitsure, Y Mroueh, M Rigotti, K Greenewald, B Belgodere, M Yurochkin, ... arXiv preprint arXiv:2310.07132, 2023 | 1 | 2023 |
| Interpretability of results from cognitive semantic clustering queries over relational datbases A Nitsure, R Bordawekar US Patent 12,147,437, 2024 | | 2024 |
| Database value prediction MH Tong, A Nitsure, R Bordawekar US Patent App. 18/103,820, 2024 | | 2024 |
| Optimizing structured query language queries using candidate sets R Bordawekar, JLPC Neves, A Nitsure US Patent App. 18/092,045, 2024 | | 2024 |
| Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM) R Bordawekar, O Shmueli, Y Amsterdamer, R Borovica-Gajic, D Firmani Companion of the 2024 International Conference on Management of Data, 649-650, 2024 | | 2024 |
| Supporting database queries using unsupervised vector embedding approaches over unseen data R Bordawekar, A Nitsure US Patent 11,741,099, 2023 | | 2023 |
| A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries P Kudva, R Bordawekar, A Nitsure arXiv preprint arXiv:2302.12178, 2023 | | 2023 |
| Detection of Forgery in Art Paintings using Machine Learning International Journal of Innovative Research in Science R Nemade, A Nitsure, P Hirve, SBMR Nemade, A Nitsure, P Hirve, ... Engineering and Technology 6 (5), 2017 | | 2017 |
| Machine Learning Solutions for an Autonomous Vehicle J Aghav, R Nemade, A Nitsure | | |
