Alireza Ghaffari

23 papers A* 2C 3Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	OAC: Output-adaptive Calibration for Accurate Post-training Quantization. AAAI Ali Edalati, Alireza Ghaffari, Mahsa Ghazvini Nejad, Lu Hou, Boxing Chen, Masoud Asgharian, Vahid Partovi Nia
2025	C	`conf`	Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach. ICPRAM Alireza Ghaffari, Sharareh Younesian, Boxing Chen, Vahid Partovi Nia, Masoud Asgharian
2025	J	`jnl`	Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach. CoRR Alireza Ghaffari, Sharareh Younesian, Boxing Chen, Vahid Partovi Nia, Masoud Asgharian
2024	J	`jnl`	AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs. CoRR Alireza Ghaffari, Sharareh Younesian, Vahid Partovi Nia, Boxing Chen, Masoud Asgharian
2024	J	`jnl`	DR-PIFO: A Dynamic Ranking Packet Scheduler Using a Push-In-First-Out Queue. IEEE Trans. Netw. Serv. Manag. Mostafa Elbediwy, Bill Pontikakis, Alireza Ghaffari, Jean-Pierre David, Yvon Savaria
2024	C	`conf`	Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. ICPRAM Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia
2024	J	`jnl`	OAC: Output-adaptive Calibration for Accurate Post-training Quantization. CoRR Ali Edalati, Alireza Ghaffari, Masoud Asgharian, Lu Hou, Boxing Chen, Vahid Partovi Nia
2024	J	`jnl`	Statistical Hardware Design With Multimodel Active Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Alireza Ghaffari, Masoud Asgharian, Yvon Savaria
2023	J	`jnl`	EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. SN Comput. Sci. Xinlin Li, Mariana Parazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia
2023	J	`jnl`	Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. CoRR Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia
2023	C	`conf`	On the Convergence of Stochastic Gradient Descent in Low-Precision Number Formats. ICPRAM Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia
2023	J	`jnl`	On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats. CoRR Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia
2023	J	`jnl`	Statistical Hardware Design With Multi-model Active Learning. CoRR Alireza Ghaffari, Masoud Asgharian, Yvon Savaria
2023	—	`conf`	Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation. EACL (Findings) Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia
2022	J	`jnl`	EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. CoRR Xinlin Li, Mariana Parazeres, Adam M. Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia
2022	J	`jnl`	Integer Fine-tuning of Transformer-based Models. CoRR Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia
2022	A*	`conf`	Is Integer Arithmetic Enough for Deep Learning Training? NeurIPS Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia
2022	J	`jnl`	Is Integer Arithmetic Enough for Deep Learning Training? CoRR Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia
2022	J	`jnl`	Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks. CoRR Vahid Partovi Nia, Alireza Ghaffari, Mahdi Zolnouri, Yvon Savaria
2021	J	`jnl`	Efficient Design Space Exploration of OpenCL Kernels for FPGA Targets Using Black Box Optimization. IEEE Access Alireza Ghaffari, Yvon Savaria
2020	J	`jnl`	CNN2Gate: Toward Designing a General Framework for Implementation of Convolutional Neural Networks on FPGA. CoRR Alireza Ghaffari, Yvon Savaria
2019	J	`jnl`	Toward High-Performance Implementation of 5G SCMA Algorithms. IEEE Access Alireza Ghaffari, Mathieu Léonardon, Adrien Cassagne, Camille Leroux, Yvon Savaria
2017	—	`conf`	Improving performance of SCMA MPA decoders using estimation of conditional probabilities. NEWCAS Alireza Ghaffari, Mathieu Léonardon, Yvon Savaria, Christophe Jégo, Camille Leroux