Mattina, Matthew

Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers

Banbury, C., Zhou, C., Fedorov, I., Navarro, R. M., Thakker, U., Gope, D., Reddi, V. J., Mattina, M., & Whatmough, P. N. (2020) · arXiv

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 183

TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids

Fedorov, I., Stamenovic, M., Jensen, C., Yang, L.-C., Mandell, A., Gan, Y., Mattina, M., & Whatmough, P. N. (2020) · Interspeech 2020

Speech and Audio ProcessingSpeech Recognition and Synthesis

Cited by 116

Compressing RNNs for IoT devices by 15-38x using Kronecker Products

Thakker, U., Beu, J., Gope, D., Zhou, C., Fedorov, I., Dasika, G., & Mattina, M. (2019) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 30

Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation

Zhou, C., Kadambi, P., Mattina, M., & Whatmough, P. N. (2020) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 27

Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products

Thakker, U., Fedorov, I., Zhou, C., Gope, D., Mattina, M., Dasika, G., & Beu, J. (2021) · ACM Journal on Emerging Technologies in Computing Systems

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 8

Compressing Language Models using Doped Kronecker Products

Thakker, U., Whatmough, P. N., Liu, Z.-G., Mattina, M., & Beu, J. (2020) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 7