An Architecture to Accelerate Convolution in Deep Neural Networks von Ardakani, Arash, Condo, Carlo, Ahmadi, Mehdi, Gross, Warren J.

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Hardware-Aware Design for Edge Intelligence von Gross, Warren J., Meyer, Brett H., Ardakani, Arash

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CMPN: Modeling and analysis of soccer teams using Complex Multiplex Passing Network von Beheshtian-Ardakani, Arash, Salehi, Mostafa, Sharma, Rajesh

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VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing von Ardakani, Arash, Leduc-Primeau, Francois, Onizawa, Naoya, Hanyu, Takahiro, Gross, Warren J.

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A novel model for product bundling and direct marketing in e-commerce based on market segmentation von Beheshtian-Ardakani, Arash, Fathian, Mohammad, Gholamian, Mohammadreza

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Fast and Efficient Convolutional Accelerator for Edge Computing von Ardakani, Arash, Condo, Carlo, Gross, Warren J.

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A Novel Area-Efficient VLSI Architecture for Recursion Computation in LTE Turbo Decoders von Ardakani, Arash, Shabany, Mahdi

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Design and Implementation of a Polar Codes Blind Detection Scheme von Condo, Carlo, Hashemi, Seyyed Ali, Ardakani, Arash, Ercan, Furkan, Gross, Warren J.

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An efficient VLSI architecture of QPP interleaver/deinterleaver for LTE turbo coding von Ardakani, Arash, Mahdavi, Mojtaba, Shabany, Mahdi

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SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics von Ardakani, Arash, Haan, Altan, Tan, Shangyin, Popovici, Doru Thom, Cheung, Alvin, Iancu, Costin, Sen, Koushik

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Standard Deviation-Based Quantization for Deep Neural Networks von Ardakani, Amir, Ardakani, Arash, Meyer, Brett, Clark, James J, Gross, Warren J

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Learning to Skip Ineffectual Recurrent Computations in LSTMs von Ardakani, Arash, Ji, Zhengyun, Gross, Warren J

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METHOD AND SYSTEM FOR TRAINING A NEURAL NETWORK von ARDAKANI, Amir, GROSS, Warren J, ARDAKANI, Arash

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Multi-Mode Inference Engine for Convolutional Neural Networks von Ardakani, Arash, Condo, Carlo, Gross, Warren J

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Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks von Ardakani, Arash, Condo, Carlo, Gross, Warren J

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SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics von Ardakani, Arash, Haan, Altan, Tan, Shangyin, Doru Thom Popovici, Cheung, Alvin, Iancu, Costin, Sen, Koushik

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Standard Deviation-Based Quantization for Deep Neural Networks von Ardakani, Amir, Ardakani, Arash, Meyer, Brett, Clark, James J, Gross, Warren J

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Learning Recurrent Binary/Ternary Weights von Ardakani, Arash, Ji, Zhengyun, Smithson, Sean C, Meyer, Brett H, Gross, Warren J

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Learning to Skip Ineffectual Recurrent Computations in LSTMs von Ardakani, Arash, Ji, Zhengyun, Gross, Warren J

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Design and Implementation of a Polar Codes Blind Detection Scheme von Condo, Carlo, Hashemi, Seyyed Ali, Ardakani, Arash, Ercan, Furkan, Gross, Warren J

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