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2020 – today
- 2024
[j11]Fatemeh Ghandi, Mostafa Davtalab-Olyaie
, Masoud Asgharian:
Peer-evaluation in centrally managed systems. Ann. Oper. Res. 333(1): 439-459 (2024)- [j10]Kai Yang, Masoud Asgharian, Sahir Bhatnagar:
Accelerated gradient methods for sparse statistical learning with nonconvex penalties. Stat. Comput. 34(1): 59 (2024) - [j9]Alireza Ghaffari, Masoud Asgharian, Yvon Savaria:
Statistical Hardware Design With Multimodel Active Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(2): 562-572 (2024) - [c4]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: 478-484 - [i12]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 abs/2405.13358 (2024) - [i11]Ali Edalati, Alireza Ghaffari, Masoud Asgharian, Lu Hou, Boxing Chen, Vahid Partovi Nia:
OAC: Output-adaptive Calibration for Accurate Post-training Quantization. CoRR abs/2405.15025 (2024) - [i10]Kai Yang, Masoud Asgharian, Nikhil Bhagwat, Jean-Baptiste Poline, Celia M. T. Greenwood:
fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data. CoRR abs/2410.10082 (2024) - 2023
- [j8]Mostafa Davtalab-Olyaie, Hadis Mahmudi-Baram, Masoud Asgharian:
Measuring individual efficiency and unit influence in centrally managed systems. Ann. Oper. Res. 321(1): 139-164 (2023) - [j7]Vahid Partovi Nia, Eyyüb Sari, Vanessa Courville, Masoud Asgharian:
Training Integer-Only Deep Recurrent Neural Networks. SN Comput. Sci. 4(5): 501 (2023) - [j6]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): 507 (2023) - [c3]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: 1867-1876 - [c2]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: 542-549 - [i9]Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia:
On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats. CoRR abs/2301.01651 (2023) - [i8]Alireza Ghaffari, Masoud Asgharian, Yvon Savaria:
Statistical Hardware Design With Multi-model Active Learning. CoRR abs/2303.08054 (2023) - [i7]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 abs/2303.15464 (2023) - [i6]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 abs/2312.09211 (2023) - 2022
- [j5]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): 1723-1744 (2022) - [c1]Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia:
Is Integer Arithmetic Enough for Deep Learning Training? NeurIPS 2022 - [i5]Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia:
Is Integer Arithmetic Enough for Deep Learning Training? CoRR abs/2207.08822 (2022) - [i4]Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia:
Integer Fine-tuning of Transformer-based Models. CoRR abs/2209.09815 (2022) - [i3]Vahid Partovi Nia, Eyyüb Sari, Vanessa Courville, Masoud Asgharian:
Training Integer-Only Deep Recurrent Neural Networks. CoRR abs/2212.11791 (2022) - [i2]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 abs/2212.11803 (2022) - 2021
- [j4]Mostafa Davtalab-Olyaie, Masoud Asgharian:
On Pareto-optimality in the cross-efficiency evaluation. Eur. J. Oper. Res. 288(1): 247-257 (2021) - [j3]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: 114927 (2021) - 2020
- [i1]Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng:
Clustering Causal Additive Noise Models. CoRR abs/2006.04877 (2020)
2010 – 2019
- 2016
- [j2]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: 202-217 (2016) - 2014
- [j1]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): 1453-1464 (2014)
Coauthor Index
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last updated on 2024-12-01 01:13 CET by the dblp team
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