Masoud Asgharian

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 25

Top Topics

Top Venues

Ann. Oper. Res.

SN Comput. Sci.

Publications

Fatemeh Ghandi, Mostafa Davtalab-Olyaie, Masoud Asgharian
Peer-evaluation in centrally managed systems. Ann. Oper. Res. 333 (1) (2024)
Alireza Ghaffari, Masoud Asgharian, Yvon Savaria
Statistical Hardware Design With Multimodel Active Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (2) (2024)
Alireza Ghaffari, Sharareh Younesian, Vahid Partovi Nia, Boxing Chen, Masoud Asgharian
AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs. CoRR (2024)
Ali Edalati, Alireza Ghaffari, Masoud Asgharian, Lu Hou, Boxing Chen, Vahid Partovi Nia
OAC: Output-adaptive Calibration for Accurate Post-training Quantization. CoRR (2024)
Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia
Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. ICPRAM (2024)
Kai Yang, Masoud Asgharian, Sahir Bhatnagar
Accelerated gradient methods for sparse statistical learning with nonconvex penalties. Stat. Comput. 34 (1) (2024)
Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen
Mathematical Challenges in Deep Learning. CoRR (2023)
Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia
Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation. EACL (Findings) (2023)
Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia
On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats. CoRR (2023)
Alireza Ghaffari, Masoud Asgharian, Yvon Savaria
Statistical Hardware Design With Multi-model Active Learning. CoRR (2023)
Vahid Partovi Nia, Eyyüb Sari, Vanessa Courville, Masoud Asgharian
Training Integer-Only Deep Recurrent Neural Networks. SN Comput. Sci. 4 (5) (2023)
Mostafa Davtalab Olyaie, Hadis Mahmudi-Baram, Masoud Asgharian
Measuring individual efficiency and unit influence in centrally managed systems. Ann. Oper. Res. 321 (1) (2023)
Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia
Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. CoRR (2023)
Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia
On the Convergence of Stochastic Gradient Descent in Low-Precision Number Formats. ICPRAM (2023)
Xinlin Li, Mariana Parazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. SN Comput. Sci. 4 (5) (2023)
Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia
Is Integer Arithmetic Enough for Deep Learning Training? CoRR (2022)
Xinlin Li, Mariana Parazeres, Adam M. Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. CoRR (2022)
Alireza Heidari, Khalil I. Elkhodary, Cristina Pop, Mohamed Badran, Hojatollah Vali, Yousof M. A. Abdel-Raouf, Saeed Torbati, Masoud Asgharian, Russell J. Steele, Iradj Mahmoudzadeh Kani, Sara Sheibani, Hamidreza Pouraliakbar, Hakimeh Sadeghian, Renzo Cecere, Matthias G. W. Friedrich, Hossein Ahmadi Tafti
Patient-specific finite element analysis of heart failure and the impact of surgical intervention in pulmonary hypertension secondary to mitral valve disease. Medical Biol. Eng. Comput. 60 (6) (2022)
Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia
Is Integer Arithmetic Enough for Deep Learning Training? NeurIPS (2022)
Vahid Partovi Nia, Eyyüb Sari, Vanessa Courville, Masoud Asgharian
Training Integer-Only Deep Recurrent Neural Networks. CoRR (2022)
Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia
Integer Fine-tuning of Transformer-based Models. CoRR (2022)
Mostafa Davtalab Olyaie, Masoud Asgharian
On Pareto-optimality in the cross-efficiency evaluation. Eur. J. Oper. Res. 288 (1) (2021)
Mostafa Davtalab Olyaie, Fatemeh Ghandi, Masoud Asgharian
On the spectrum of achievable targets in cross-efficiency evaluation and the associated secondary goal models. Expert Syst. Appl. 177 (2021)
Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng
Clustering Causal Additive Noise Models. CoRR (2020)
Azadeh Shohoudi, Abbas Khalili, David B. Wolfson, Masoud Asgharian
Simultaneous variable selection and de-coarsening in multi-path change-point models. J. Multivar. Anal. 147 (2016)
Mostafa Davtalab Olyaie, Israfil Roshdi, Gholam Reza Jahanshahloo, Masoud Asgharian
Characterizing and finding full dimensional efficient facets in DEA: a variable returns to scale specification. J. Oper. Res. Soc. 65 (9) (2014)