Mohammad Hasan Ahmadilivani

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 21

Top Topics

Image And Video Retrieval

Activation Function

Special Session

Convolutional Neural Networks

Top Venues

Publications

Jakob Rostovski, Mohammad Hasan Ahmadilivani, Andrei Krivosei, Alar Kuusik, Muhammad Mahtab Alam
Real-Time Gait Anomaly Detection Using 1D-CNN and LSTM. NCDHWS (2) (2024)
Mohammad Hasan Ahmadilivani, Seyedhamidreza Mousavi, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning. IOLTS (2024)
Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks. ACM Comput. Surv. 56 (6) (2024)
Mohammad Hasan Ahmadilivani, Seyedhamidreza Mousavi, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning. CoRR (2024)
Maksim Jenihhin, Mahdi Taheri, Natalia Cherezova, Mohammad Hasan Ahmadilivani, Hardi Selg, Artur Jutman, Konstantin Shibin, Anton Tsertov, Sergei Devadze, Rama Mounika Kodamanchili, Ahsan Rafiq, Jaan Raik, Masoud Daneshtalab
Keynote: Cost-Efficient Reliability for Edge-AI Chips. LATS (2024)
Mohammad Hasan Ahmadilivani, Alberto Bosio, Bastien Deveautour, Fernando Fernandes dos Santos, Juan-David Guerrero-Balaguera, Maksim Jenihhin, Angeliki Kritikakou, Robert Limas Sierra, Salvatore Pappalardo, Jaan Raik, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Mahdi Taheri, Marcello Traiola
Special Session: Reliability Assessment Recipes for DNN Accelerators. VTS (2024)
Seyedhamidreza Mousavi, Mohammad Hasan Ahmadilivani, Jaan Raik, Maksim Jenihhin, Masoud Daneshtalab
ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNs. CoRR (2024)
Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
DeepVigor: Vulnerability Value Ranges and Factors for DNNs' Reliability Assessment. CoRR (2023)
Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs' Reliability Assessment. ETS (2023)
Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting. CoRR (2023)
Iman Dadras, Sakineh Seydi, Mohammad Hasan Ahmadilivani, Jaan Raik, Mostafa E. Salehi
Fully-Fusible Convolutional Neural Networks for End-to-End Fused Architecture with FPGA Implementation. ICECS (2023)
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
Special Session: Approximation and Fault Resiliency of DNN Accelerators. VTS (2023)
Mohammad Hasan Ahmadilivani, Jaan Raik, Masoud Daneshtalab, Alar Kuusik
Analysis and Improvement of Resilience for Long Short-Term Memory Neural Networks. DFT (2023)
Mahdi Taheri, Mohammad Riazati, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik, Mikael Sjödin, Björn Lisper
DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators. CoRR (2023)
Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks. CoRR (2023)
Mahdi Taheri, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik
APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors. DDECS (2023)
Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting. AICAS (2023)
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
Special Session: Approximation and Fault Resiliency of DNN Accelerators. CoRR (2023)
Mahdi Taheri, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik
APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors. CoRR (2023)
Mahdi Taheri, Mohammad Riazati, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik, Mikael Sjödin, Björn Lisper
DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators. ISQED (2023)
Iman Dadras, Mohammad Hasan Ahmadilivani, Saoni Banerji, Jaan Raik, Alvo Abloo
An Efficient Analog Convolutional Neural Network Hardware Accelerator Enabled by a Novel Memoryless Architecture for Insect-Sized Robots. MOCAST (2022)