Seyedarmin Azizi

According to our database, Seyedarmin Azizi authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., August, 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

Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy.

Seyedarmin Azizi, Mahdi Nazemi, Massoud Pedram

CoRR, 2024

PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers.

Mohammad Erfan Sadeghi, Arash Fayyazi, Seyedarmin Azizi, Massoud Pedram

Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation.

Seyedarmin Azizi, Souvik Kundu, Massoud Pedram

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

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

SNT: Sharpness-Minimizing Network Transformation for Fast Compression-friendly Pretraining.

Jung Hwan Heo, Seyedarmin Azizi, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram

CoRR, 2023

2022

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