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AskariHemmat, M.H., Bilaniuk, O., Wagner, S., Savaria, Y., & David, J. P. (2021, May). RISC-V barrel processor for deep neural network acceleration [Paper]. 53rd IEEE International Symposium on Circuits and Systems (ISCAS 2021), Daegu, Korea (5 pages). External link
AskariHemmat, M.H., Honari, S., Rouhier, L., Perone, C. S., Cohen-Adad, J., Savaria, Y., & David, J. P. (2019, October). U-net fixed-point quantization for medical image segmentation [Paper]. 1st International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019), Shenzhen, China. External link
Sankaran, A., Mastropietro, O., Saboori, E., Idris, Y., Sawyer, D., AskariHemmat, M.H., & Hacene, G. B. (2021, February). Deeplite Neutrino (TM): An End-to-End Framework for Constrained Deep Learning Model Optimization [Paper]. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence. External link
