| ACE-CNN: Approximate Carry Disregard Multipliers for Energy-Efficient CNN-Based Image Classification S Shakibhamedan, N Amirafshar, AS Baroughi, HS Shahhoseini, ... IEEE Transactions on Circuits and Systems I: Regular Papers, 2024 | 15 | 2024 |
| Carry Disregard Approximate Multipliers N Amirafshar, AS Baroughi, HS Shahhoseini, N TaheriNejad IEEE Transactions on Circuits and Systems I: Regular Papers, 2023 | 13 | 2023 |
| An Approximate Carry Disregard Multiplier with Improved Mean Relative Error Distance and Probability of Correctness N Amirafshar, AS Baroughi, HS Shahhoseini, N TaheriNejad 2022 25th Euromicro Conference on Digital System Design (DSD), 46-52, 2022 | 6 | 2022 |
| An Analytical Approach to Enhancing DNN Efficiency and Accuracy Using Approximate Multiplication S Shakibhamedan, A Jahanjoo, A Aminifar, N Amirafshar, N TaheriNejad, ... 2nd Workshop on Advancing Neural Network Training: Computational Efficiency …, 0 | 2 | |
| ApprOchs: A Memristor-Based In-Memory Adaptive Approximate Adder D Ochs, L Rapp, L Borzyk, N Amirafshar, N TaheriNejad IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2025 | | 2025 |
| Approximation Strategies for Vision Models on Edge Devices: An Accuracy-Efficiency Trade-off D Katare, S Shakibhamedan, N Amirafshar, N Taherinejad, A Jantsch, ... Authorea Preprints, 2024 | | 2024 |
Nima TaheriNejadFull Professor (W3), Heidelberg UniversityAdresse e-mail validée de ziti.uni-heidelberg.de