| Modelops: Cloud-based lifecycle management for reliable and trusted ai W Hummer, V Muthusamy, T Rausch, P Dube, K El Maghraoui, A Murthi, ... 2019 IEEE International Conference on Cloud Engineering (IC2E), 113-120, 2019 | 144 | 2019 |
| Towards automating the AI operations lifecycle M Arnold, J Boston, M Desmond, E Duesterwald, B Elder, A Murthi, ... arXiv preprint arXiv:2003.12808, 2020 | 22 | 2020 |
| Exploring the hyperparameter landscape of adversarial robustness E Duesterwald, A Murthi, G Venkataraman, M Sinn, D Vijaykeerthy arXiv preprint arXiv:1905.03837, 2019 | 12 | 2019 |
| Learning prediction intervals for model performance B Elder, M Arnold, A Murthi, J Navrátil Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7305-7313, 2021 | 11 | 2021 |
| Not your grandfathers test set: Reducing labeling effort for testing B Taskazan, J Navratil, M Arnold, A Murthi, G Venkataraman, B Elder arXiv preprint arXiv:2007.05499, 2020 | 5 | 2020 |
| System for operationalizing high-level machine learning training enhancements from low-level primitives E Duesterwald, A Murthi, D Vijaykeerthy, V Arya, G Venkataraman US Patent 11,500,671, 2022 | 3 | 2022 |
| Assistant for large-scale machine learning experiments E Duesterwald, A Murthi, M Hind, MR Arnold, BT Elder, J Navratil US Patent 12,056,585, 2024 | | 2024 |
| Detection of failure conditions and restoration of deployed models in a computing environment E Duesterwald, P Oum, G Fang, D Saha, A Murthi, W Hummer US Patent 11,294,759, 2022 | | 2022 |
