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ORCIDSeyedarmin Azizi
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2020 – today
- 2024
[j2]Seyedarmin Azizi
, Mahdi Nazemi, Mehdi Kamal, Massoud Pedram:
Low-Precision Mixed-Computation Models for Inference on Edge. IEEE Trans. Very Large Scale Integr. Syst. 32(8): 1414-1422 (2024)- [c3]Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram:
Automated Optimization of Deep Neural Networks: Dynamic Bit-Width and Layer-Width Selection via Cluster-Based Parzen Estimation. DATE 2024: 1-6 - [c2]Seyedarmin Azizi, Souvik Kundu, Massoud Pedram:
LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation. EMNLP (Findings) 2024: 9635-9646 - [c1]Mohammad Erfan Sadeghi, Arash Fayyazi, Seyedarmin Azizi, Massoud Pedram:
PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers. ISLPED 2024: 1-6 - [i7]Seyedarmin Azizi, Mahdi Nazemi, Massoud Pedram:
Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy. CoRR abs/2402.06004 (2024) - [i6]Seyedarmin Azizi, Souvik Kundu, Massoud Pedram:
LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation. CoRR abs/2406.12832 (2024) - [i5]Mohammad Erfan Sadeghi, Arash Fayyazi, Seyedarmin Azizi, Massoud Pedram:
PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers. CoRR abs/2406.14854 (2024) - [i4]Seyedarmin Azizi, Mohammad Erfan Sadeghi, Mehdi Kamal, Massoud Pedram:
Efficient Noise Mitigation for Enhancing Inference Accuracy in DNNs on Mixed-Signal Accelerators. CoRR abs/2409.18553 (2024) - 2023
- [i3]Jung Hwan Heo, Seyedarmin Azizi, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram:
SNT: Sharpness-Minimizing Network Transformation for Fast Compression-friendly Pretraining. CoRR abs/2305.04526 (2023) - [i2]Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram:
Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation. CoRR abs/2308.06422 (2023) - [i1]Seyedarmin Azizi, Mahdi Nazemi, Mehdi Kamal, Massoud Pedram:
Low-Precision Mixed-Computation Models for Inference on Edge. CoRR abs/2312.02210 (2023) - 2022
- [j1]Seyedarmin Azizi, Reza Soleimani, Mohsen Ahmadi, Ali Malekan, Laith Abualigah, Fatemeh Dashti Ahangar:
Performance enhancement of an uncertain nonlinear medical robot with optimal nonlinear robust controller. Comput. Biol. Medicine 146: 105567 (2022)
Coauthor Index
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