Mohammad Hasan Ahmadilivani

According to our database, Mohammad Hasan Ahmadilivani authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks.

Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin

ACM Comput. Surv., June, 2024

2023

Special Session: Approximation and Fault Resiliency of DNN Accelerators.

Mohammad Hasan Ahmadilivani, Mario Barbareschi, Salvatore Barone, Alberto Bosio, Masoud Daneshtalab, Salvatore Della Torca, Gabriele Gavarini, Maksim Jenihhin, Jaan Raik, Annachiara Ruospo, Ernesto Sánchez, Mahdi Taheri

Proceedings of the 41st IEEE VLSI Test Symposium, 2023

DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators.

Mahdi Taheri, Mohammad Riazati, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik, Mikael Sjödin, Björn Lisper

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Fully-Fusible Convolutional Neural Networks for End-to-End Fused Architecture with FPGA Implementation.

Iman Dadras, Sakineh Seydi, Mohammad Hasan Ahmadilivani, Jaan Raik, Mostafa E. Salehi

Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs' Reliability Assessment.

Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin

Proceedings of the IEEE European Test Symposium, 2023

Analysis and Improvement of Resilience for Long Short-Term Memory Neural Networks.

Mohammad Hasan Ahmadilivani, Jaan Raik, Masoud Daneshtalab, Alar Kuusik

Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2023

APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors.

Mahdi Taheri, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik

Proceedings of the 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2023

Enhancing Fault Resilience of QNNs by Selective Neuron Splitting.

Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

An Efficient Analog Convolutional Neural Network Hardware Accelerator Enabled by a Novel Memoryless Architecture for Insect-Sized Robots.

Iman Dadras, Mohammad Hasan Ahmadilivani, Saoni Banerji, Jaan Raik, Alvo Abloo

Proceedings of the 11th International Conference on Modern Circuits and Systems Technologies, 2022