Data-Aware Compression of Neural Networks. - Hajar Falahati; Masoud Peyro; Hossein Amini; Mehran Taghian; Mohammad Sadrosadati; Pejman Lotfi-Kamran; Hamid Sarbazi-Azad (IEEE Comput. Archit. Lett., 2021)

A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules. - Mehran Taghian; Ahmad Asadi; Reza Safabakhsh (CoRR, 2021)

Learning financial asset-specific trading rules via deep reinforcement learning. - Mehran Taghian; Ahmad Asadi; Reza Safabakhsh (Expert Syst. Appl., 2022)

Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms. - Sheila Schoepp; Mehran Taghian; Shotaro Miwa; Yoshihiro Mitsuka; Shadan Golestan; Osmar Zaïane (CoRR, 2024)

Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation. - Mehran Taghian; Shotaro Miwa; Yoshihiro Mitsuka; Johannes Günther 002; Shadan Golestan; Osmar R. Zaïane (Eng. Appl. Artif. Intell., 2024)