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ORCIDAlireza Ghaffari
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2020 – today
- 2024
[j5]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)- [j4]Mostafa Elbediwy, Bill Pontikakis, Alireza Ghaffari, Jean-Pierre David, Yvon Savaria:
DR-PIFO: A Dynamic Ranking Packet Scheduler Using a Push-In-First-Out Queue. IEEE Trans. Netw. Serv. Manag. 21(1): 355-371 (2024) - [c5]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 - [i10]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) - [i9]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) - 2023
- [j3]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) - [c4]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 - [c3]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 - [i8]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) - [i7]Alireza Ghaffari, Masoud Asgharian, Yvon Savaria:
Statistical Hardware Design With Multi-model Active Learning. CoRR abs/2303.08054 (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
- [c2]Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia:
Is Integer Arithmetic Enough for Deep Learning Training? NeurIPS 2022 - [i5]Vahid Partovi Nia, Alireza Ghaffari, Mahdi Zolnouri, Yvon Savaria:
Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks. CoRR abs/2202.09275 (2022) - [i4]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) - [i3]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) - [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
- [j2]Alireza Ghaffari, Yvon Savaria:
Efficient Design Space Exploration of OpenCL Kernels for FPGA Targets Using Black Box Optimization. IEEE Access 9: 136819-136830 (2021) - 2020
- [i1]Alireza Ghaffari, Yvon Savaria:
CNN2Gate: Toward Designing a General Framework for Implementation of Convolutional Neural Networks on FPGA. CoRR abs/2004.04641 (2020)
2010 – 2019
- 2019
- [j1]Alireza Ghaffari, Mathieu Léonardon, Adrien Cassagne, Camille Leroux, Yvon Savaria:
Toward High-Performance Implementation of 5G SCMA Algorithms. IEEE Access 7: 10402-10414 (2019) - 2017
- [c1]Alireza Ghaffari, Mathieu Léonardon, Yvon Savaria, Christophe Jégo, Camille Leroux:
Improving performance of SCMA MPA decoders using estimation of conditional probabilities. NEWCAS 2017: 21-24
Coauthor Index
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