Afshar Shamsi

According to our database, Afshar Shamsi authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

Enhancing Monte Carlo Dropout performance for uncertainty quantification.

Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny

Neural Comput. Appl., June, 2026

Truth as a Trajectory: What Internal Representations Reveal About Large Language Model Reasoning.

Hamed Damirchi, Ignacio Meza De La Jara, Ehsan Abbasnejad, Afshar Shamsi, Zhen Zhang, Javen Shi

CoRR, March, 2026

Truth as a Trajectory: What Internal Representations Reveal About Large Language Model Reasoning.

Hamed Damirchi, Imezadelajara, Ehsan Abbasnejad, Afshar Shamsi, Zhen Zhang, Javen Qinfeng Shi

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance.

Afshar Shamsi, Rejisa Becirovic, Ahmadreza Argha, Ehsan Abbasnejad, Hamid Alinejad-Rokny, Arash Mohammadi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks.

Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks.

Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damith C. Ranasinghe, Ehsan Abbasnejad

CoRR, 2024