Mohammad Saeed Abrishami

11 papers A* 1C 1Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services. IEEE Trans. Mob. Comput. Amir Erfan Eshratifar, Mohammad Saeed Abrishami, Massoud Pedram
2020	J	`jnl`	CSM-NN: Current Source Model Based Logic Circuit Simulation - A Neural Network Approach. CoRR Mohammad Saeed Abrishami, Massoud Pedram, Shahin Nazarian
2020	—	`conf`	Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. ISQED Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
2020	J	`jnl`	Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. CoRR Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
2020	—	`conf`	NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework. ISQED Mohammad Saeed Abrishami, Hao Ge, Justin F. Calderon, Massoud Pedram, Shahin Nazarian
2020	J	`jnl`	NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework. CoRR Mohammad Saeed Abrishami, Hao Ge, Justin F. Calderon, Massoud Pedram, Shahin Nazarian
2019	A*	`conf`	A Meta-Learning Approach for Custom Model Training. AAAI Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
2019	C	`conf`	CSM-NN: Current Source Model Based Logic Circuit Simulation - A Neural Network Approach. ICCD Mohammad Saeed Abrishami, Massoud Pedram, Shahin Nazarian
2018	J	`jnl`	A Meta-Learning Approach for Custom Model Training. CoRR Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
2018	J	`jnl`	JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services. CoRR Amir Erfan Eshratifar, Mohammad Saeed Abrishami, Massoud Pedram
2015	—	`conf`	Optimal choice of FinFET devices for energy minimization in deeply-scaled technologies. ISQED Mohammad Saeed Abrishami, Alireza Shafaei, Yanzhi Wang, Massoud Pedram