Characterizing and finding full dimensional efficient facets in DEA: a variable returns to scale specification. - Mostafa Davtalab-Olyaie; Israfil Roshdi; Gholam Reza Jahanshahloo; Masoud Asgharian (J. Oper. Res. Soc., 2014)

Simultaneous variable selection and de-coarsening in multi-path change-point models. - Azadeh Shohoudi; Abbas Khalili; David B. Wolfson; Masoud Asgharian (J. Multivar. Anal., 2016)

Clustering Causal Additive Noise Models. - Vahid Partovi Nia; Xinlin Li; Masoud Asgharian; Shoubo Hu; Zhitang Chen; Yanhui Geng (CoRR, 2020)

On Pareto-optimality in the cross-efficiency evaluation. - Mostafa Davtalab-Olyaie; Masoud Asgharian (Eur. J. Oper. Res., 2021)

On the spectrum of achievable targets in cross-efficiency evaluation and the associated secondary goal models. - Mostafa Davtalab-Olyaie; Fatemeh Ghandi; Masoud Asgharian (Expert Syst. Appl., 2021)

Is Integer Arithmetic Enough for Deep Learning Training? - Alireza Ghaffari; Marzieh S. Tahaei; Mohammadreza Tayaranian; Masoud Asgharian; Vahid Partovi Nia (NeurIPS, 2022)

Integer Fine-tuning of Transformer-based Models. - Mohammadreza Tayaranian; Alireza Ghaffari; Marzieh S. Tahaei; Mehdi Rezagholizadeh; Masoud Asgharian; Vahid Partovi Nia (CoRR, 2022)

Patient-specific finite element analysis of heart failure and the impact of surgical intervention in pulmonary hypertension secondary to mitral valve disease. - Alireza Heidari; Khalil I. Elkhodary; Cristina Pop 005; Mohamed Badran; Hojatollah Vali; Yousof M. A. Abdel-Raouf; Saeed Torbati; Masoud Asgharian; Russell J. Steele; Iradj Mahmoudzadeh Kani; Sara Sheibani; Hamidreza Pouraliakbar; et al. (Medical Biol. Eng. Comput., 2022)

Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation. - Mohammadreza Tayaranian; Alireza Ghaffari; Marzieh S. Tahaei; Mehdi Rezagholizadeh; Masoud Asgharian; Vahid Partovi Nia (EACL (Findings), 2023)

On the Convergence of Stochastic Gradient Descent in Low-Precision Number Formats. - Matteo Cacciola; Antonio Frangioni; Masoud Asgharian; Alireza Ghaffari; Vahid Partovi Nia (ICPRAM, 2023)

Statistical Hardware Design With Multi-model Active Learning. - Alireza Ghaffari; Masoud Asgharian; Yvon Savaria (CoRR, 2023)

Mathematical Challenges in Deep Learning. - Vahid Partovi Nia; Guojun Zhang; Ivan Kobyzev; Michael R. Metel; Xinlin Li; Ke Sun 013; Sobhan Hemati; Masoud Asgharian; Linglong Kong; Wulong Liu; Boxing Chen (CoRR, 2023)

Measuring individual efficiency and unit influence in centrally managed systems. - Mostafa Davtalab-Olyaie; Hadis Mahmudi-Baram; Masoud Asgharian (Ann. Oper. Res., 2023)

EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. - Xinlin Li; Mariana Parazeres; Adam Oberman; Alireza Ghaffari; Masoud Asgharian; Vahid Partovi Nia (SN Comput. Sci., 2023)

Training Integer-Only Deep Recurrent Neural Networks. - Vahid Partovi Nia; Eyyüb Sari; Vanessa Courville; Masoud Asgharian (SN Comput. Sci., 2023)

Partially Shared Query-Key for Lightweight Language Models. - Kai Yang; Vahid Partovi Nia; Boxing Chen; Masoud Asgharian (ENLSP, 2024)

Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. - Alireza Ghaffari; Justin Yu; Mahsa Ghazvini Nejad; Masoud Asgharian; Boxing Chen; Vahid Partovi Nia (ICPRAM, 2024)

AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs. - Alireza Ghaffari; Sharareh Younesian; Vahid Partovi Nia; Boxing Chen; Masoud Asgharian (CoRR, 2024)

OAC: Output-adaptive Calibration for Accurate Post-training Quantization. - Ali Edalati; Alireza Ghaffari; Masoud Asgharian; Lu Hou; Boxing Chen; Vahid Partovi Nia (CoRR, 2024)

fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data. - Kai Yang; Masoud Asgharian; Nikhil Bhagwat; Jean-Baptiste Poline; Celia M. T. Greenwood (CoRR, 2024)

Peer-evaluation in centrally managed systems. - Fatemeh Ghandi; Mostafa Davtalab-Olyaie; Masoud Asgharian (Ann. Oper. Res., 2024)

Accelerated gradient methods for sparse statistical learning with nonconvex penalties. - Kai Yang; Masoud Asgharian; Sahir Bhatnagar (Stat. Comput., 2024)

Statistical Hardware Design With Multimodel Active Learning. - Alireza Ghaffari; Masoud Asgharian; Yvon Savaria (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

OAC: Output-adaptive Calibration for Accurate Post-training Quantization. - Ali Edalati; Alireza Ghaffari; Mahsa Ghazvini Nejad; Lu Hou; Boxing Chen; Masoud Asgharian; Vahid Partovi Nia (AAAI, 2025)

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach. - Alireza Ghaffari; Sharareh Younesian; Boxing Chen; Vahid Partovi Nia; Masoud Asgharian (ICPRAM, 2025)

Pareto-optimal peer evaluation in context-dependent DEA. - Fatemeh Ghandi; Mostafa Davtalab-Olyaie; Masoud Asgharian; Mehmet A. Begen; Abbas Saadatmandi (Oper. Res., 2025)

Tiny Noise-Robust Voice Activity Detector for Voice Assistants. - Hamed Jafarzadeh Asl; Mahsa Ghazvini Nejad; Amin Edraki; Masoud Asgharian; Vahid Partovi Nia (CoRR, 2025)

MoKA: Mixture of Kronecker Adapters. - Mohammadreza Sadeghi; Mahsa Ghazvini Nejad; MirHamed Jafarzadeh Asl; Yu Gu; Yuanhao Yu; Masoud Asgharian; Vahid Partovi Nia (CoRR, 2025)