Mohammad Saeed Abrishami
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JointDNN: an efficient training and inference engine for intelligent mobile cloud computing services
AE Eshratifar, MS Abrishami, M Pedram
IEEE Transactions on Mobile Computing, 2018
New approximate multiplier for low power digital signal processing
F Farshchi, MS Abrishami, SM Fakhraie
The 17th CSI International Symposium on Computer Architecture & Digital …, 2013
Identification of developmental delay in infants using wearable sensors: Full-day leg movement statistical feature analysis
MS Abrishami, L Nocera, M Mert, IA Trujillo-Priego, S Purushotham, ...
IEEE journal of translational engineering in health and medicine 7, 1-7, 2019
A Meta-Learning Approach for Custom Model Training
AE Eshratifar, MS Abrishami, D Eigen, M Pedram
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2018
CSM-NN: Current source model based logic circuit simulation-a neural network approach
MS Abrishami, M Pedram, S Nazarian
2019 IEEE 37th International Conference on Computer Design (ICCD), 393-400, 2019
Optimal choice of FinFET devices for energy minimization in deeply-scaled technologies
MS Abrishami, A Shafaei, Y Wang, M Pedram
Sixteenth International Symposium on Quality Electronic Design, 234-238, 2015
NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework
MS Abrishami, H Ge, JF Calderon, M Pedram, S Nazarian
2020 21st International Symposium on Quality Electronic Design (ISQED), 452-456, 2020
Efficient training of deep convolutional neural networks by augmentation in embedding space
MS Abrishami, AE Eshratifar, D Eigen, Y Wang, S Nazarian, M Pedram
2020 21st International Symposium on Quality Electronic Design (ISQED), 347-351, 2020
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