| Bayesian nonparametric federated learning of neural networks M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang, Y Khazaeni International Conference on Machine Learning, 7252-7261, 2019 | 1056 | 2019 |
| Investigating Explainability of Generative AI for Code through Scenario-based Design J Sun, QV Liao, M Muller, M Agarwal, S Houde, K Talamadupula, ... 27th International Conference on Intelligent User Interfaces, 212-228, 2022 | 299 | 2022 |
| IBM Federated Learning: an Enterprise Framework White Paper V0. 1 H Ludwig, N Baracaldo, G Thomas, Y Zhou, A Anwar, S Rajamoni, Y Ong, ... arXiv preprint arXiv:2007.10987, 2020 | 222 | 2020 |
| Perfection Not Required? Human-AI Partnerships in Code Translation JD Weisz, M Muller, S Houde, J Richards, SI Ross, F Martinez, M Agarwal, ... 26th International Conference on Intelligent User Interfaces, 402-412, 2021 | 194 | 2021 |
| Better Together? An Evaluation of AI-Supported Code Translation JD Weisz, M Muller, SI Ross, F Martinez, S Houde, M Agarwal, ... 27th International Conference on Intelligent User Interfaces, 369-391, 2022 | 110 | 2022 |
| Granite Code Models: A Family of Open Foundation Models for Code Intelligence M Mishra, M Stallone, G Zhang, Y Shen, A Prasad, AM Soria, M Merler, ... arXiv preprint arXiv:2405.04324, 2024 | 90 | 2024 |
| Flexible artificial intelligence agent infrastructure for adapting processing of a shell T Chakraborti, M Agarwal, EM Dow, K Talamadupula, K Fadnis, ... US Patent 11,748,128, 2023 | 77 | 2023 |
| Machine Translation: A Literature Review A Garg, M Agarwal arXiv preprint arXiv:1901.01122, 2018 | 71 | 2018 |
| Granite-function calling model: Introducing function calling abilities via multi-task learning of granular tasks I Abdelaziz, K Basu, M Agarwal, S Kumaravel, M Stallone, R Panda, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 66 | 2024 |
| Statistical model aggregation via parameter matching M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang Advances in Neural Information Processing Systems, 10956-10966, 2019 | 46 | 2019 |
| Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness Z Ashktorab, B Hoover, M Agarwal, C Dugan, W Geyer, HB Yang, ... Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 28 | 2023 |
| Explain-then-translate: an analysis on improving program translation with self-generated explanations Z Tang, M Agarwal, A Shypula, B Wang, DT Wijaya, J Chen, Y Kim Findings of the Association for Computational Linguistics: EMNLP 2023, 1741-1788, 2023 | 27 | 2023 |
| Nestful: A benchmark for evaluating llms on nested sequences of api calls K Basu, I Abdelaziz, K Kate, M Agarwal, M Crouse, Y Rizk, K Bradford, ... Proceedings of the 2025 Conference on Empirical Methods in Natural Language …, 2025 | 26 | 2025 |
| On sensitivity of meta-learning to support data M Agarwal, M Yurochkin, Y Sun Advances in Neural Information Processing Systems 34, 2021 | 26 | 2021 |
| A Bandit Approach to Posterior Dialog Orchestration Under a Budget S Upadhyay, M Agarwal, D Bounneffouf, Y Khazaeni 2nd Conversational AI workshop, NeurIPS, 2018 | 21 | 2018 |
| Bayesian nonparametric learning of neural networks KH Greenewald, M Yurochkin, M Agarwal, S Ghosh, TN Hoang, ... US Patent 11,836,615, 2023 | 20 | 2023 |
| Project CLAI: Instrumenting the Command Line as a New Environment for AI Agents M Agarwal, JJ Barroso, T Chakraborti, EM Dow, K Fadnis, B Godoy, ... arXiv preprint arXiv:2002.00762, 2020 | 19* | 2020 |
| Opportunities for Generative AI in UX Modernization S Houde, S Ross, M Muller, M Agarwal, FC Martinez, J Richards, ... ACM International Conference on Intelligent User Interfaces, 2022 | 17 | 2022 |
| Neurips 2020 nlc2cmd competition: Translating natural language to bash commands M Agarwal, T Chakraborti, Q Fu, D Gros, XV Lin, J Maene, ... NeurIPS 2020 Competition and Demonstration Track, 302-324, 2021 | 15 | 2021 |
| Using Document Similarity Methods to create Parallel Datasets for Code Translation M Agarwal, K Talamadupula, F Martinez, S Houde, M Muller, J Richards, ... arXiv preprint arXiv:2110.05423, 2021 | 14 | 2021 |
Mikhail YurochkinStaff AI Scientist, IFM MBZUAI, ex MIT-IBM Watson AI LabVerified email at umich.edu
