Shahin Nazarian

◀ ▶ joint publications with Mohammad Saeed Abrishami

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Publications

2020
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Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram:
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. ISQED 2020: 347-351
[c61]
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Mohammad Saeed Abrishami, Hao Ge, Justin F. Calderon, Massoud Pedram, Shahin Nazarian:
NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework. ISQED 2020: 452-456
[i17]
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  - journals/corr/abs-2002-04776
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Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram:
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. CoRR abs/2002.04776 (2020)
[i16]
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  - journals/corr/abs-2002-05291
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Mohammad Saeed Abrishami, Massoud Pedram, Shahin Nazarian:
CSM-NN: Current Source Model Based Logic Circuit Simulation - A Neural Network Approach. CoRR abs/2002.05291 (2020)
[i15]
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Mohammad Saeed Abrishami, Hao Ge, Justin F. Calderon, Massoud Pedram, Shahin Nazarian:
NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework. CoRR abs/2002.05292 (2020)
2019
[c54]
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  - conf/iccd/AbrishamiPN19
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Mohammad Saeed Abrishami, Massoud Pedram, Shahin Nazarian:
CSM-NN: Current Source Model Based Logic Circuit Simulation - A Neural Network Approach. ICCD 2019: 393-400

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