| Stochastic Dividers for Low Latency Neural Networks S Liu, X Tang, F Niknia, P Reviriego, W Liu, A Louri, F Lombardi IEEE Transactions on Circuits and Systems I: Regular Papers, 2021 | 17 | 2021 |
| Learning assisted side channel delay test for detection of recycled ics A Vakil, F Niknia, A Mirzaeian, A Sasan, N Karimi Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 12 | 2021 |
| Computing the similarity estimate using approximate memory P Reviriego, S Liu, O Ertl, F Niknia, F Lombardi IEEE Transactions on Emerging Topics in Computing 10 (3), 1593-1604, 2021 | 7 | 2021 |
| Aging effects on template attacks launched on dual-rail protected chips F Niknia, JL Danger, S Guilley, N Karimi IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 7 | 2021 |
| Tolerance of siamese networks (SNs) to memory errors: Analysis and design Z Wang, F Niknia, S Liu, P Reviriego, P Montuschi, F Lombardi IEEE Transactions on Computers 72 (4), 1136-1149, 2022 | 6 | 2022 |
| Nanoscale Accelerators for Artificial Neural Networks F Niknia, Z Wang, S Liu, A Louri, F Lombardi IEEE Nanotechnology Magazine 16 (6), 14-21, 2022 | 5 | 2022 |
| Nanoscale design of multi-layer perceptrons using floating-point arithmetic units F Niknia, Z Wang, S Liu, F Lombardi 2022 IEEE 22nd International Conference on Nanotechnology (NANO), 16-19, 2022 | 4 | 2022 |
| A delta sigma modulator-based stochastic divider X Tang, S Liu, F Niknia, P Reviriego, Z Wang, W Tang, A Louri, ... IEEE Transactions on Circuits and Systems I: Regular Papers 69 (8), 3272-3283, 2022 | 4 | 2022 |
| Analysis, design and evaluation of high-performance stochastic multilayer perceptron: from mini-batch training to inference Z Wang, F Niknia, S Liu, P Reviriego, Z Gao, F Lombardi 2024 IEEE 24th International Conference on Nanotechnology (NANO), 161-166, 2024 | 3 | 2024 |
| Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems P Reviriego, Z Wang, A Alonso, Z Gao, F Niknia, S Liu, F Lombardi IEEE Transactions on Reliability, 2024 | 2 | 2024 |
| Adaptive Resolution Inference (ARI): Energy Efficient Machine Learning for the Internet of Things Z Wang, P Reviriego, F Niknia, J Conde, S Liu, F Lombardi IEEE Internet of Things Journal, 2023 | 2 | 2023 |
| Delta sigma modulator-based dividers for accurate and low latency stochastic computing systems X Tang, S Liu, F Niknia, Z Wang, S Liu, P Reviriego, F Lombardi IEEE Journal on Emerging and Selected Topics in Circuits and Systems 13 (1 …, 2023 | 2 | 2023 |
| ASIC Design of Nanoscale Artificial Neural Networks for Inference/Training by Floating-Point Arithmetic F Niknia, Z Wang, S Liu, P Reviriego, A Louri, F Lombardi IEEE Transactions on Nanotechnology, 2024 | 1 | 2024 |
| Feature-Embedding Triplet Networks with a Separately Constrained Loss Function Z Wang, F Niknia, S Liu, H Jiang, S Liu, P Reviriego, F Lombardi 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023 | 1 | 2023 |
| A Configurable Floating-Point Fused Multiply-Add Design with Mixed Precision for AI Accelerators F Niknia, Z Wang, S Liu, P Reviriego, Z Gao, P Montuschi, F Lombardi Authorea Preprints, 2024 | | 2024 |
| Fault Tolerance in Triplet Network Training: Analysis, Evaluation and Protection Methods Z Wang, F Niknia, S Liu, P Reviriego, A Louri, F Lombardi IEEE Transactions on Emerging Topics in Computing, 2024 | | 2024 |
| Are Emerging Machine Learning Models Dependable at the Nanoscales? S Liu, Z Wang, Z Gao, P Reviriego, F Niknia, X Tang, J Zhou, F Lombardi IEEE Nanotechnology Magazine, 2024 | | 2024 |
| Stochastic Neural Networks with Layer-Wise Adjustable Sequence Length Z Wang, P Reviriego, F Niknia, S Liu, Z Gao, F Lombardi 2024 IEEE 24th International Conference on Nanotechnology (NANO), 436-441, 2024 | | 2024 |
| Emerging Machine Learning Using Siamese and Triplet Neural Networks Z Wang, F Niknia, S Liu, P Reviriego, F Lombardi Design and Applications of Emerging Computer Systems, 115-141, 2024 | | 2024 |
| Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems P Reviriego Vasallo, Z Wang, Á Alonso González, Z Gao, F Niknia, S Liu, ... | | 2024 |
Fabrizio LombardiInternational Test Conference (ITC) Endowed Chair Professor, Northeastern University在 ece.neu.edu 的电子邮件经过验证
