Performance enhancement of an uncertain nonlinear medical robot with optimal nonlinear robust controller. - Seyedarmin Azizi; Reza Soleimani; Mohsen Ahmadi; Ali Malekan; Laith Abualigah; Fatemeh Dashti Ahangar (Comput. Biol. Medicine, 2022)

SNT: Sharpness-Minimizing Network Transformation for Fast Compression-friendly Pretraining. - Jung Hwan Heo; Seyedarmin Azizi; Arash Fayyazi; Mahdi Nazemi; Massoud Pedram (CoRR, 2023)

Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation. - Seyedarmin Azizi; Mahdi Nazemi; Arash Fayyazi; Massoud Pedram (CoRR, 2023)

Automated Optimization of Deep Neural Networks: Dynamic Bit-Width and Layer-Width Selection via Cluster-Based Parzen Estimation. - Seyedarmin Azizi; Mahdi Nazemi; Arash Fayyazi; Massoud Pedram (DATE, 2024)

Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy. - Seyedarmin Azizi; Mahdi Nazemi; Massoud Pedram (ECCV Workshops (11), 2024)

LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation. - Seyedarmin Azizi; Souvik Kundu 002; Massoud Pedram (EMNLP (Findings), 2024)

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

Low-Precision Mixed-Computation Models for Inference on Edge. - Seyedarmin Azizi; Mahdi Nazemi; Mehdi Kamal; Massoud Pedram (IEEE Trans. Very Large Scale Integr. Syst., 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)

Activation Steering for Chain-of-Thought Compression. - Seyedarmin Azizi; Erfan Baghaei Potraghloo; Massoud Pedram (CoRR, 2025)