| Compiling KB-sized machine learning models to tiny IoT devices S Gopinath, N Ghanathe, V Seshadri, R Sharma Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019 | 81 | 2019 |
| Software and firmware co-development using high-level synthesis NP Ghanathe, A Madorsky, H Lam, DE Acosta, AD George, MR Carver, ... Journal of Instrumentation 12 (01), C01083, 2017 | 10 | 2017 |
| MAFIA: Machine learning acceleration on FPGAs for IoT applications NP Ghanathe, V Seshadri, R Sharma, S Wilton, A Kumar 2021 31st International Conference on Field-Programmable Logic and …, 2021 | 6 | 2021 |
| T-recx: Tiny-resource efficient convolutional neural networks with early-exit NP Ghanathe, S Wilton Proceedings of the 20th ACM International Conference on Computing Frontiers …, 2023 | 4 | 2023 |
| QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles NP Ghanathe, S Wilton arXiv preprint arXiv:2404.12599, 2024 | | 2024 |
| Compiling KB-Sized Machine Learning Models to Constrained Hardware S Gopinath, N Ghanathe, V Seshadri, R Sharma | | |
Vivek SeshadriStudent, CS, CMUVerified email at cs.cmu.edu
