Mohammad Hasan Ahmadilivani

28 papers B 1C 3Misc 2Journal 11Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Investigating the Impact of Soft Errors in GPU-Accelerated Sparse DNNs. LASCAS Mohammad Hasan Ahmadilivani, Josie E. Rodriguez Condia, Maksim Jenihhin, Matteo Sonza Reorda
2026	J	`jnl`	Progressive Training of Hybrid Clipped Rectified Linear Unit for Resilient Convolution Neural Networks. IEEE Access Seyedhamidreza Mousavi, Mohammad Hasan Ahmadilivani, Jaan Raik, Maksim Jenihhin, Masoud Daneshtalab
2026	—	`conf`	Reliability Assessment of Deep Neural Networks and Accelerators Across Design Stages. LATS Mohammad Hasan Ahmadilivani, Natalia Cherezova, Michael Glaß, Juan-David Guerrero-Balaguera, Maksim Jenihhin, Angeliki Kritikakou, Robert Limas Sierra, Letícia Maria Veiras Bolzani Poehls, Jaan Raik, Lucas Roquet, Fernando Fernandes dos Santos, Felipe Augusto da Silva, Matteo Sonza Reorda, Alessandro Veronesi, Ernesto Cristopher Villegas Castillo, Josie E. Rodriguez Condia
2025	—	`conf`	Does Fault Tolerance Safeguard DNNs Against Bitfiip Attacks? A Case Study. DFT Mohammad Hasan Ahmadilivani, Yuto Kobayashi, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
2024	J	`jnl`	A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks. ACM Comput. Surv. Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
2024	C	`conf`	Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning. IOLTS Mohammad Hasan Ahmadilivani, Seyedhamidreza Mousavi, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
2024	J	`jnl`	Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning. CoRR Mohammad Hasan Ahmadilivani, Seyedhamidreza Mousavi, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
2024	J	`jnl`	DeepVigor+: Scalable and Accurate Semi-Analytical Fault Resilience Analysis for Deep Neural Network. CoRR Mohammad Hasan Ahmadilivani, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
2024	C	`conf`	Heterogeneous Approximation of DNN HW Accelerators based on Channels Vulnerability. VLSI-SoC Natalia Cherezova, Salvatore Pappalardo, Mahdi Taheri, Mohammad Hasan Ahmadilivani, Bastien Deveautour, Alberto Bosio, Jaan Raik, Maksim Jenihhin
2024	—	`conf`	Keynote: Cost-Efficient Reliability for Edge-AI Chips. LATS 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
2024	J	`jnl`	ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNs. CoRR Seyedhamidreza Mousavi, Mohammad Hasan Ahmadilivani, Jaan Raik, Maksim Jenihhin, Masoud Daneshtalab
2024	—	`conf`	Real-Time Gait Anomaly Detection Using 1D-CNN and LSTM. NCDHWS (2) Jakob Rostovski, Mohammad Hasan Ahmadilivani, Andrei Krivosei, Alar Kuusik, Muhammad Mahtab Alam
2024	Misc	`conf`	Special Session: Reliability Assessment Recipes for DNN Accelerators. VTS 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
2024	—	`conf`	Zero-Memory-Overhead Clipping-Based Fault Tolerance for LSTM Deep Neural Networks. DFT Bahram Parchekani, Samira Nazari, Mohammad Hasan Ahmadilivani, Ali Azarpeyvand, Jaan Raik, Tara Ghasempouri, Masoud Daneshtalab
2023	J	`jnl`	A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks. CoRR Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
2023	C	`conf`	APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors. DDECS Mahdi Taheri, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik
2023	J	`jnl`	APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors. CoRR Mahdi Taheri, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik
2023	—	`conf`	Analysis and Improvement of Resilience for Long Short-Term Memory Neural Networks. DFT Mohammad Hasan Ahmadilivani, Jaan Raik, Masoud Daneshtalab, Alar Kuusik
2023	—	`conf`	DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators. ISQED Mahdi Taheri, Mohammad Riazati, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik, Mikael Sjödin, Björn Lisper
2023	J	`jnl`	DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators. CoRR Mahdi Taheri, Mohammad Riazati, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik, Mikael Sjödin, Björn Lisper
2023	B	`conf`	DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs' Reliability Assessment. ETS Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
2023	J	`jnl`	DeepVigor: Vulnerability Value Ranges and Factors for DNNs' Reliability Assessment. CoRR Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
2023	—	`conf`	Enhancing Fault Resilience of QNNs by Selective Neuron Splitting. AICAS Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
2023	J	`jnl`	Enhancing Fault Resilience of QNNs by Selective Neuron Splitting. CoRR Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
2023	—	`conf`	Fully-Fusible Convolutional Neural Networks for End-to-End Fused Architecture with FPGA Implementation. ICECS Iman Dadras, Sakineh Seydi, Mohammad Hasan Ahmadilivani, Jaan Raik, Mostafa E. Salehi
2023	Misc	`conf`	Special Session: Approximation and Fault Resiliency of DNN Accelerators. VTS 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
2023	J	`jnl`	Special Session: Approximation and Fault Resiliency of DNN Accelerators. CoRR 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
2022	—	`conf`	An Efficient Analog Convolutional Neural Network Hardware Accelerator Enabled by a Novel Memoryless Architecture for Insect-Sized Robots. MOCAST Iman Dadras, Mohammad Hasan Ahmadilivani, Saoni Banerji, Jaan Raik, Alvo Aabloo