Arash Ardakani

According to our database, Arash Ardakani authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics.

Arash Ardakani, Altan Haan, Shangyin Tan, Doru-Thom Popovici, Alvin Cheung, Costin Iancu, Koushik Sen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Late Breaking Results: Differential and Massively Parallel Sampling of SAT Formulas.

Arash Ardakani, Minwoo Kang, Kevin He, Vighnesh M. Iyer, Suhong Moon, John Wawrzynek

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2022

Standard Deviation-Based Quantization for Deep Neural Networks.

Amir Ardakani, Arash Ardakani, Brett H. Meyer, James J. Clark, Warren J. Gross

CoRR, 2022

Partially-Random Initialization: A Smoking Gun for Binarization Hypothesis of BERT.

Arash Ardakani

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Hardware-Aware Design for Edge Intelligence.

Warren J. Gross, Brett H. Meyer, Arash Ardakani

IEEE Open J. Circuits Syst., 2021

Training Binarized Neural Networks Using Ternary Multipliers.

Amir Ardakani, Arash Ardakani, Warren J. Gross

IEEE Des. Test, 2021

Fault-Tolerance of Binarized and Stochastic Computing-based Neural Networks.

Amir Ardakani, Arash Ardakani, Warren J. Gross

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

2020

Fast and Efficient Convolutional Accelerator for Edge Computing.

Arash Ardakani, Carlo Condo, Warren J. Gross

IEEE Trans. Computers, 2020

Training Linear Finite-State Machines.

Arash Ardakani, Amir Ardakani, Warren J. Gross

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Regression-Based Method to Synthesize Complex Arithmetic Computations on Stochastic Streams.

Arash Ardakani, Amir Ardakani, Warren J. Gross

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Design and Implementation of a Polar Codes Blind Detection Scheme.

Carlo Condo, Seyyed Ali Hashemi, Arash Ardakani, Furkan Ercan, Warren J. Gross

IEEE Trans. Circuits Syst. II Express Briefs, 2019

The Synthesis of XNOR Recurrent Neural Networks with Stochastic Logic.

Arash Ardakani, Zhengyun Ji, Amir Ardakani, Warren J. Gross

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Recurrent Binary/Ternary Weights.

Arash Ardakani, Zhengyun Ji, Sean C. Smithson, Brett H. Meyer, Warren J. Gross

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Skip Ineffectual Recurrent Computations in LSTMs.

Arash Ardakani, Zhengyun Ji, Warren J. Gross

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

An Architecture to Accelerate Convolution in Deep Neural Networks.

Arash Ardakani, Carlo Condo, Mehdi Ahmadi, Warren J. Gross

IEEE Trans. Circuits Syst. I Regul. Pap., 2018

A Multi-Mode Accelerator for Pruned Deep Neural Networks.

Arash Ardakani, Carlo Condo, Warren J. Gross

Proceedings of the 16th IEEE International New Circuits and Systems Conference, 2018

A Convolutional Accelerator for Neural Networks With Binary Weights.

Arash Ardakani, Carlo Condo, Warren J. Gross

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing.

Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross

IEEE Trans. Very Large Scale Integr. Syst., 2017

Multi-Mode Inference Engine for Convolutional Neural Networks.

Arash Ardakani, Carlo Condo, Warren J. Gross

CoRR, 2017

A low-complexity fully scalable interleaver/address generator based on a novel property of QPP interleavers.

Arash Ardakani, Mahdi Shabany

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks.

Arash Ardakani, Carlo Condo, Warren J. Gross

Proceedings of the 5th International Conference on Learning Representations, 2017

Activation pruning of deep convolutional neural networks.

Arash Ardakani, Carlo Condo, Warren J. Gross

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

Stochastic Computing Can Improve Upon Digital Spiking Neural Networks.

Sean C. Smithson, Kaushik Boga, Arash Ardakani, Brett H. Meyer, Warren J. Gross

Proceedings of the 2016 IEEE International Workshop on Signal Processing Systems, 2016

VLSI implementation of deep neural networks using integral stochastic computing.

Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross

Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, 2016

Hardware implementation of FIR/IIR digital filters using integral stochastic computation.

Arash Ardakani, François Leduc-Primeau, Warren J. Gross

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

A Novel Area-Efficient VLSI Architecture for Recursion Computation in LTE Turbo Decoders.

Arash Ardakani, Mahdi Shabany

IEEE Trans. Circuits Syst. II Express Briefs, 2015

An efficient max-log MAP algorithm for VLSI implementation of turbo decoders.

Arash Ardakani, Mahdi Shabany

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2013

An efficient VLSI architecture of QPP interleaver/deinterleaver for LTE turbo coding.

Arash Ardakani, Mojtaba Mahdavi, Mahdi Shabany

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013