Alireza Ghaffari

Researcher, Cerebras Systems, Inc

Joined

May 2022

Names

Alireza Ghaffari (Preferred)

Emails

****@gmail.com (Confirmed)

****@huawei.com (Confirmed)

****@mail.mcgill.ca (Confirmed)

****@cerebras.net (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Researcher

Cerebras Systems, Inc (cerebras.net)

2024 – Present

Researcher

Huawei Technologies Ltd. (huawei.com)

2021 – 2024

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models
Xinlin Li, Mariana Oliveira Prazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia
- Springer Nature (SN) Computer Science
- Readers: Everyone
On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats
Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia
- Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods
- Readers: Everyone
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
- Findings of the Association for Computational Linguistics: EACL 2023
- Readers: Everyone
Statistical Hardware Design With Multi-model Active Learning
Alireza Ghaffari, Masoud Asgharian, Yvon Savaria
- IEEE Trans on Computer-Aided Design of Integrated Circuits and Systems
- Readers: Everyone
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
- Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods
- Readers: Everyone
AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs
Alireza Ghaffari, Sharareh Younesian, Vahid Partovi Nia, Boxing Chen, Masoud Asgharian
- OpenReview Archive Direct Upload
- Readers: Everyone
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
- Proceedings of the AAAI Conference on Artificial Intelligence
- Readers: Everyone
Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach
Alireza Ghaffari, Sharareh Younesian, Boxing Chen, Vahid Partovi Nia, Masoud Asgharian
- Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods
- Readers: Everyone
Is Integer Arithmetic Enough for Deep Learning Training?
Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone