Santhosh, Ashwin; Jutman, Artur; Kaja, Endri; Ecker, Wolfgang; Jenihhin, Maksim (2026). NURSE: A Distributed Architecture for Runtime Fault Management in Processor Designs. 31st IEEE European Test Symposium, Chania Greece, May 25-29, 2026. 31st IEEE European Test Symposium, Chania Greece, May 25-29, 2026, 1−4 [forthcoming].
Mousavi, Seyedhamidreza; Ahmadilivani, Mohammad Hasan; Raik, Jaan; Jenihhin, Maksim; Daneshtalab, Masoud (2026). Progressive Training of Hybrid Clipped Rectified Linear Unit for Resilient Convolution Neural Networks. IEEE Access, 1−13. DOI: 10.1109/ACCESS.2026.3671327.
Josie E. Rodriguez Condia, Mohammad Hasan Ahmadilivani$, Jaan Raik, Maksim Jenihhin, Matteo Sonza Reorda (2026). FT-Sparse: Algorithm-Based Fault Tolerance for Sparse CNNs Using Structured Sparsity in GPUs. IEEE VLSI Test Symposium (VTS): IEEE, 1−7 [forthcoming].
Mohammad Hasan Ahmadilivani, Josie E. Rodriguez Condia, Maksim Jenihhin, Matteo Sonza Reorda (2026). Investigating the Impact of Soft Errors in GPU-accelerated Sparse DNNs. 2026 IEEE 17th Latin American Circuits and System (LASCAS): Arequipa, Peru, 24-27 February 2026. IEEE, 1−5. DOI: 10.1109/LASCAS67804.2026.11457175.
Mohammad Hasan Ahmadilivani, Natalia Cherezova, Michael Glaß, Juan-David Guerrero-Balaguera, Maksim Jenihhin, Angeliki Kritikakou, Robert Limas Sierra, Leticia Bolzani Poelhs, 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 (2026). Reliability Assessment of Deep Neural Networks and Accelerators Across Design Stages. IEEE Latin American Test Symposium (LATS): IEEE, 1−10 [forthcoming].
Cherezova, N.; Pappalardo, S.; Ruospo, A.; Deveautour, B.; Fezza, L.; Jutman, A.; Sanchez, E.; Bosio, A.; Reorda, M.S.; Jenihhin, M. (2026). Special Session: Reliability Assessment of DNN Models and Inference on Systolic Arrays. Proceedings of the IEEE VLSI Test Symposium. IEEE Computer Society. DOI: 10.1109/VTS69484.2026.11563366.
Jenihhin, M.; Taheri, M.; Cherezova, N. (2026). Quantization-Aided Cost-Efficient Reliability of CNN Accelerators for Edge AI. In: Shanshan Liu, Pedro Reviriego, Zhen Gao, Fabrizio Lombardi (Ed.). Machine Learning Systems. (255−283). Springer Cham. DOI: 10.1007/978-3-032-17948-7_9.
Cherezova, N.; Ahmadilivani, M.H.; Raik, J.; Daneshtalab, M.; Jenihhin, M. (2026). Can Model-Level Fault Tolerance be Enough for DNN Hardware Accelerators? A Study. IEEE Design and Test. DOI: 10.1109/MDAT.2026.3686087.