An IMPLY-based Semi-Serial Approximate In-Memristor Adder. - Fabian Seiler; Nima TaheriNejad (NorCAS, 2023)

ATOMIC: Automatic Tool for Memristive IMPLY-based Circuit-level Simulation and Validation. - Fabian Seiler; Nima TaheriNejad (CoRR, 2024)

IMPLY-based Approximate Full Adders for Efficient Arithmetic Operations in Image Processing and Machine Learning. - Melanie Qiu; Caoyueshan Fan; Gulafshan; Salar Shakibhamedan; Fabian Seiler; Nima TaheriNejad (CoRR, 2024)

Efficient Image Processing via Memristive-Based Approximate In-Memory Computing. - Fabian Seiler; Nima TaheriNejad (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Accelerated Image Processing Through IMPLY-Based NoCarry Approximated Adders. - Fabian Seiler; Nima TaheriNejad (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

An Improved Serial IMPLY Adder Algorithm for Efficient Neural Network Applications. - Fabian Seiler; Nima TaheriNejad (LASCAS, 2025)

ATOMIC: Automatic Tool for Memristive IMPLY based Circuit-level Simulation and Validation. - Fabian Seiler; Peter M. Hinkel; Axel Jantsch; Nima TaheriNejad (SMACD, 2025)