Seyedarmin Azizi

According to our database, Seyedarmin Azizi authored at least 18 papers between 2022 and 2026.

Collaborative distances:

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

2026

One Token Away from Collapse: The Fragility of Instruction-Tuned Helpfulness.

Erfan Baghaei Potraghloo, Seyedarmin Azizi, Souvik Kundu, Massoud Pedram

CoRR, April, 2026

Power-SMC: Low-Latency Sequence-Level Power Sampling for Training-Free LLM Reasoning.

Seyedarmin Azizi, Erfan Baghaei Potraghloo, Minoo Ahmadi, Souvik Kundu, Massoud Pedram

CoRR, February, 2026

2025

SkipKV: Selective Skipping of KV Generation and Storage for Efficient Inference with Large Reasoning Models.

Jiayi Tian, Seyedarmin Azizi, Yequan Zhao, Erfan Baghaei Potraghloo, Sean McPherson, Sharath Nittur Sridhar, Zhengyang Wang, Zheng Zhang, Massoud Pedram, Souvik Kundu

CoRR, December, 2025

From Filters to VLMs: Benchmarking Defogging Methods through Object Detection and Segmentation Performance.

Ardalan Aryashad, Parsa Razmara, Amin Mahjoub, Seyedarmin Azizi, Mahdi Salmani, Arad Firouzkouhi

CoRR, October, 2025

Top-H Decoding: Adapting the Creativity and Coherence with Bounded Entropy in Text Generation.

Erfan Baghaei Potraghloo, Seyedarmin Azizi, Souvik Kundu, Massoud Pedram

CoRR, September, 2025

Activation Steering for Chain-of-Thought Compression.

Seyedarmin Azizi, Erfan Baghaei Potraghloo, Massoud Pedram

CoRR, July, 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, May, 2025

MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba.

Seyedarmin Azizi, Souvik Kundu, Mohammad Erfan Sadeghi, Massoud Pedram

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MORFI: Mutimodal Zero-Shot Reasoning for Financial Time-Series Inference.

Tina Khezresmaeilzadeh, Parsa Razmara, Mohammad Erfan Sadeghi, Seyedarmin Azizi, Erfan Baghaei Potraghloo

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

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

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

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

Seyedarmin Azizi, Mahdi Nazemi, Massoud Pedram

Proceedings of the Computer Vision - ECCV 2024 Workshops, 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 Dashtiahangar

Comput. Biol. Medicine, 2022