Arash Ardakani

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 29

Top Topics

Inference Engine

Detection Scheme

Top Venues

Publications

Arash Ardakani, Altan Haan, Shangyin Tan, Doru-Thom Popovici, Alvin Cheung, Costin Iancu, Koushik Sen
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics. NAACL-HLT (2024)
Arash Ardakani, Altan Haan, Shangyin Tan, Doru-Thom Popovici, Alvin Cheung, Costin Iancu, Koushik Sen
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics. CoRR (2023)
Amir Ardakani, Arash Ardakani, Brett H. Meyer, James J. Clark, Warren J. Gross
Standard Deviation-Based Quantization for Deep Neural Networks. CoRR (2022)
Arash Ardakani
Partially-Random Initialization: A Smoking Gun for Binarization Hypothesis of BERT. EMNLP (Findings) (2022)
Warren J. Gross, Brett H. Meyer, Arash Ardakani
Hardware-Aware Design for Edge Intelligence. IEEE Open J. Circuits Syst. 2 (2021)
Amir Ardakani, Arash Ardakani, Warren J. Gross
Training Binarized Neural Networks Using Ternary Multipliers. IEEE Des. Test 38 (6) (2021)
Amir Ardakani, Arash Ardakani, Warren J. Gross
Fault-Tolerance of Binarized and Stochastic Computing-based Neural Networks. SiPS (2021)
Arash Ardakani, Carlo Condo, Warren J. Gross
Fast and Efficient Convolutional Accelerator for Edge Computing. IEEE Trans. Computers 69 (1) (2020)
Arash Ardakani, Amir Ardakani, Warren J. Gross
A Regression-Based Method to Synthesize Complex Arithmetic Computations on Stochastic Streams. ISCAS (2020)
Arash Ardakani, Amir Ardakani, Warren J. Gross
Training Linear Finite-State Machines. NeurIPS (2020)
Arash Ardakani, Zhengyun Ji, Amir Ardakani, Warren J. Gross
The Synthesis of XNOR Recurrent Neural Networks with Stochastic Logic. NeurIPS (2019)
Arash Ardakani, Zhengyun Ji, Sean C. Smithson, Brett H. Meyer, Warren J. Gross
Learning Recurrent Binary/Ternary Weights. ICLR (Poster) (2019)
Carlo Condo, Seyyed Ali Hashemi, Arash Ardakani, Furkan Ercan, Warren J. Gross
Design and Implementation of a Polar Codes Blind Detection Scheme. IEEE Trans. Circuits Syst. II Express Briefs (6) (2019)
Arash Ardakani, Zhengyun Ji, Warren J. Gross
Learning to Skip Ineffectual Recurrent Computations in LSTMs. DATE (2019)
Carlo Condo, Seyyed Ali Hashemi, Arash Ardakani, Furkan Ercan, Warren J. Gross
Design and Implementation of a Polar Codes Blind Detection Scheme. CoRR (2018)
Arash Ardakani, Carlo Condo, Warren J. Gross
A Convolutional Accelerator for Neural Networks With Binary Weights. ISCAS (2018)
Arash Ardakani, Carlo Condo, Mehdi Ahmadi, Warren J. Gross
An Architecture to Accelerate Convolution in Deep Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. (4) (2018)
Arash Ardakani, Zhengyun Ji, Sean C. Smithson, Brett H. Meyer, Warren J. Gross
Learning Recurrent Binary/Ternary Weights. CoRR (2018)
Arash Ardakani, Zhengyun Ji, Warren J. Gross
Learning to Skip Ineffectual Recurrent Computations in LSTMs. CoRR (2018)
Arash Ardakani, Carlo Condo, Warren J. Gross
A Multi-Mode Accelerator for Pruned Deep Neural Networks. NEWCAS (2018)
Arash Ardakani, Carlo Condo, Warren J. Gross
Activation pruning of deep convolutional neural networks. GlobalSIP (2017)
Arash Ardakani, Mahdi Shabany
A low-complexity fully scalable interleaver/address generator based on a novel property of QPP interleavers. ISCAS (2017)
Arash Ardakani, Carlo Condo, Warren J. Gross
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks. ICLR (Poster) (2017)
Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross
VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing. IEEE Trans. Very Large Scale Integr. Syst. 25 (10) (2017)
Arash Ardakani, Carlo Condo, Warren J. Gross
Multi-Mode Inference Engine for Convolutional Neural Networks. CoRR (2017)
Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross
VLSI implementation of deep neural networks using integral stochastic computing. ISTC (2016)
Arash Ardakani, Carlo Condo, Warren J. Gross
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks. CoRR (2016)
Sean C. Smithson, Kaushik Boga, Arash Ardakani, Brett H. Meyer, Warren J. Gross
Stochastic Computing Can Improve Upon Digital Spiking Neural Networks. SiPS (2016)
Arash Ardakani, François Leduc-Primeau, Warren J. Gross
Hardware implementation of FIR/IIR digital filters using integral stochastic computation. ICASSP (2016)
Arash Ardakani, Mahdi Shabany
A Novel Area-Efficient VLSI Architecture for Recursion Computation in LTE Turbo Decoders. IEEE Trans. Circuits Syst. II Express Briefs (6) (2015)
Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross
VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing. CoRR (2015)
Arash Ardakani, Mahdi Shabany
An efficient max-log MAP algorithm for VLSI implementation of turbo decoders. ISCAS (2015)
Arash Ardakani, Mojtaba Mahdavi, Mahdi Shabany
An efficient VLSI architecture of QPP interleaver/deinterleaver for LTE turbo coding. ISCAS (2013)