| EdgeML Machine Learning for Resource-Constrained Edge Devices DK Dennis, Y Gaurkar, S Gopinath, S Goyal, C Gupta, M Jain, S Jaiswal, ... URL https://github.com/Microsoft/EdgeML. Retrieved January, 2020 | 43* | 2020 |
| Ood-diskann: Efficient and scalable graph anns for out-of-distribution queries S Jaiswal, R Krishnaswamy, A Garg, HV Simhadri, S Agrawal arXiv preprint arXiv:2211.12850, 2022 | 13 | 2022 |
| mlpack 4: a fast, header-only C++ machine learning library RR Curtin, M Edel, O Shrit, S Agrawal, S Basak, JJ Balamuta, ... arXiv preprint arXiv:2302.00820, 2023 | 9 | 2023 |
| MinUn: Accurate ML Inference on Microcontrollers S Jaiswal, RKK Goli, A Kumar, V Seshadri, R Sharma Proceedings of the 24th ACM SIGPLAN/SIGBED International Conference on …, 2023 | 2 | 2023 |
| DiskANN: Scalable, Efficient and Feature-rich Approximate Nearest Neighbor Search HV Simhadri, R Krishnaswamy, G Srinivasa, SJ Subramanya, ... | 2 | 2023 |
| Acting Engaged: Leveraging Play Persona Archetypes for Semi-Supervised Classification of Engagement. BD Nye, MG Core, S Jaiswal, A Ghosal, D Auerbach International Educational Data Mining Society, 2021 | 1 | 2021 |
| Integrating an Engagement Classification Pipeline into a GIFT Cybersecurity Module BD Nye, M Core, D Auerbach, A Ghosal, S Jaiswal, M Rosenberg Proceedings of the 8th Annual Generalized Intelligent Framework for Tutoring …, 2020 | | 2020 |
Harsha Vardhan SimhadriMicrosoft ResearchVerified email at microsoft.com
