PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers. - Mohammad Erfan Sadeghi; Arash Fayyazi; Seyedarmin Azizi; Massoud Pedram (ISLPED, 2024)

CHOSEN: Compilation to Hardware Optimization Stack for Efficient Vision Transformer Inference. - Mohammad Erfan Sadeghi; Arash Fayyazi; Suhas Somashekar; Massoud Pedram (CoRR, 2024)

Efficient Noise Mitigation for Enhancing Inference Accuracy in DNNs on Mixed-Signal Accelerators. - Seyedarmin Azizi; Mohammad Erfan Sadeghi; Mehdi Kamal; Massoud Pedram (CoRR, 2024)

MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba. - Seyedarmin Azizi; Souvik Kundu 002; Mohammad Erfan Sadeghi; Massoud Pedram (ICLR, 2025)

VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis. - Tina Khezresmaeilzadeh; Parsa Razmara; Seyedarmin Azizi; Mohammad Erfan Sadeghi; Erfan Baghaei Portaghloo (CoRR, 2025)