Vahid Partovi Nia

80 papers A* 8A 1B 1C 9Journal 49Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	C	`conf`	Enterprise Resource Planning Using Multi-Type Transformers in Ferro-Titanium Industry. ICPRAM Samira Yazdanpourmoghadam, Mahan Balal Pour, Vahid Partovi Nia
2026	J	`jnl`	Enterprise Resource Planning Using Multi-type Transformers in Ferro-Titanium Industry. CoRR Samira Yazdanpourmoghadam, Mahan Balal Pour, Vahid Partovi Nia
2026	J	`jnl`	Zeroth-Order Kronecker Optimization for Pretraining Language Models. SN Comput. Sci. Nathan Allaire, Sébastien Le Digabel, Dominique Orban, Vahid Partovi Nia
2025	J	`jnl`	HyWA: Hypernetwork Weight Adapting Personalized Voice Activity Detection. CoRR Mahsa Ghazvini Nejad, Hamed Jafarzadeh Asl, Amin Edraki, Mohammadreza Sadeghi, Masoud Asgharian, Yuanhao Yu, Vahid Partovi Nia
2025	J	`jnl`	MoKA: Mixture of Kronecker Adapters. CoRR Mohammadreza Sadeghi, Mahsa Ghazvini Nejad, MirHamed Jafarzadeh Asl, Yu Gu, Yuanhao Yu, Masoud Asgharian, Vahid Partovi Nia
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	A	`conf`	PoT-PTQ: Two-Step Power-of-Two Post-Training for LLMs. ECAI Xinyu Wang, Vahid Partovi Nia, Peng Lu, Jerry Huang, Xiao-Wen Chang, Boxing Chen, Yufei Cui
2025	J	`jnl`	PoTPTQ: A Two-step Power-of-Two Post-training for LLMs. CoRR Xinyu Wang, Vahid Partovi Nia, Peng Lu, Jerry Huang, Xiao-Wen Chang, Boxing Chen, Yufei Cui
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
2025	—	`conf`	Tiny Noise-Robust Voice Activity Detector for Voice Assistants. MLSP Hamed Jafarzadeh Asl, Mahsa Ghazvini Nejad, Amin Edraki, Masoud Asgharian, Vahid Partovi Nia
2025	J	`jnl`	Tiny Noise-Robust Voice Activity Detector for Voice Assistants. CoRR Hamed Jafarzadeh Asl, Mahsa Ghazvini Nejad, Amin Edraki, Masoud Asgharian, Vahid Partovi Nia
2025	C	`conf`	Zeroth Order Optimization for Pretraining Language Models. ICPRAM Nathan Allaire, Mahsa Ghazvini Nejad, Sébastien Le Digabel, Vahid Partovi Nia
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	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	—	`ed.`	NeurIPS Efficient Natural Language and Speech Processing Workshop, 14 December 2024, Vancouver, British Columbia, Canada. ENLSP Mehdi Rezagholizadeh, Peyman Passban, Soheila Samiee, Vahid Partovi Nia, Yu Cheng, Yue Deng, Qun Liu, Boxing Chen
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	—	`conf`	Partially Shared Query-Key for Lightweight Language Models. ENLSP Kai Yang, Vahid Partovi Nia, Boxing Chen, Masoud Asgharian
2024	J	`jnl`	Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. CoRR Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia
2023	A*	`conf`	DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization. ICCV Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia
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`	Mathematical Challenges in Deep Learning. CoRR Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen
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`	Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm. CoRR Dounia Lakhmiri, Mahdi Zolnouri, Vahid Partovi Nia, Christophe Tribes, Sébastien Le Digabel
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
2023	—	`conf`	Towards Low-Cost Learning-based Camera ISP via Unrolled Optimization. CRV Ali Mosleh, Marzieh S. Tahaei, James J. Clark, Vahid Partovi Nia
2023	J	`jnl`	Training Integer-Only Deep Recurrent Neural Networks. SN Comput. Sci. Vahid Partovi Nia, Eyyüb Sari, Vanessa Courville, Masoud Asgharian
2023	A*	`conf`	Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. NeurIPS Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia
2022	A*	`conf`	Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition. AAAI Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh, Vahid Partovi Nia
2022	J	`jnl`	DenseShift: Towards Accurate and Transferable Low-Bit Shift Network. CoRR Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, 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	C	`conf`	EuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference. ICPRAM Mariana Oliveira Prazeres, Xinlin Li, Adam M. Oberman, 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`	KronA: Parameter Efficient Tuning with Kronecker Adapter. CoRR Ali Edalati, Marzieh S. Tahaei, Ivan Kobyzev, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh
2022	—	`conf`	Kronecker Decomposition for GPT Compression. ACL (2) Ali Edalati, Marzieh S. Tahaei, Ahmad Rashid, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh
2022	—	`conf`	KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation. NAACL-HLT Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh
2022	J	`jnl`	Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks. CoRR Vahid Partovi Nia, Alireza Ghaffari, Mahdi Zolnouri, Yvon Savaria
2022	J	`jnl`	SeKron: A Decomposition Method Supporting Many Factorization Structures. CoRR Marawan Gamal Abdel Hameed, Ali Mosleh, Marzieh S. Tahaei, Vahid Partovi Nia
2022	J	`jnl`	Training Integer-Only Deep Recurrent Neural Networks. CoRR Vahid Partovi Nia, Eyyüb Sari, Vanessa Courville, Masoud Asgharian
2022	C	`conf`	iRNN: Integer-only Recurrent Neural Network. ICPRAM Eyyüb Sari, Vanessa Courville, Vahid Partovi Nia
2021	J	`jnl`	A Twin Neural Model for Uplift. CoRR Mouloud Belbahri, Olivier Gandouet, Alejandro Murua, Vahid Partovi Nia
2021	—	`conf`	Adaptive Binary-Ternary Quantization. CVPR Workshops Ryan Razani, Grégoire Morin, Eyyüb Sari, Vahid Partovi Nia
2021	J	`jnl`	Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition. CoRR Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh, Vahid Partovi Nia
2021	A*	`conf`	Demystifying and Generalizing BinaryConnect. NeurIPS Tim Dockhorn, Yaoliang Yu, Eyyüb Sari, Mahdi Zolnouri, Vahid Partovi Nia
2021	J	`jnl`	Demystifying and Generalizing BinaryConnect. CoRR Tim Dockhorn, Yaoliang Yu, Eyyüb Sari, Mahdi Zolnouri, Vahid Partovi Nia
2021	J	`jnl`	Kronecker Decomposition for GPT Compression. CoRR Ali Edalati, Marzieh S. Tahaei, Ahmad Rashid, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh
2021	J	`jnl`	KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation. CoRR Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh
2021	J	`jnl`	Parallel coordinate order for high-dimensional data. Stat. Anal. Data Min. Shaima Tilouche, Vahid Partovi Nia, Samuel Bassetto
2021	J	`jnl`	S CoRR Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
2021	A*	`conf`	S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. NeurIPS Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
2021	J	`jnl`	iRNN: Integer-only Recurrent Neural Network. CoRR Eyyüb Sari, Vanessa Courville, Vahid Partovi Nia
2020	C	`conf`	Activation Adaptation in Neural Networks. ICPRAM Farnoush Farhadi, Vahid Partovi Nia, Andrea Lodi
2020	J	`jnl`	Batch Normalization in Quantized Networks. CoRR Eyyüb Sari, Vahid Partovi Nia
2020	J	`jnl`	Clustering Causal Additive Noise Models. CoRR Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng
2020	—	`conf`	Differentiable Mask for Pruning Convolutional and Recurrent Networks. CRV Ramchalam Kinattinkara Ramakrishnan, Eyyüb Sari, Vahid Partovi Nia
2020	J	`jnl`	Importance of Data Loading Pipeline in Training Deep Neural Networks. CoRR Mahdi Zolnouri, Xinlin Li, Vahid Partovi Nia
2020	J	`jnl`	Tensor train decompositions on recurrent networks. CoRR Alejandro Murua, Ramchalam Ramakrishnan, Xinlin Li, Rui Heng Yang, Vahid Partovi Nia
2019	J	`jnl`	A Study on Binary Neural Networks Initialization. CoRR Eyyüb Sari, Mouloud Belbahri, Vahid Partovi Nia
2019	J	`jnl`	Activation Adaptation in Neural Networks. CoRR Farnoush Farhadi, Vahid Partovi Nia, Andrea Lodi
2019	B	`conf`	Active Learning for High-Dimensional Binary Features. CNSM Ali Vahdat, Mouloud Belbahri, Vahid Partovi Nia
2019	J	`jnl`	Active Learning for High-Dimensional Binary Features. CoRR Ali Vahdat, Mouloud Belbahri, Vahid Partovi Nia
2019	—	`conf`	Deep Demosaicing for Edge Implementation. ICIAR (1) Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Partovi Nia
2019	J	`jnl`	Deep Demosaicing for Edge Implementation. CoRR Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Partovi Nia
2019	J	`jnl`	Differentiable Mask Pruning for Neural Networks. CoRR Ramchalam Kinattinkara Ramakrishnan, Eyyüb Sari, Vahid Partovi Nia
2019	J	`jnl`	Foothill: A Quasiconvex Regularization Function. CoRR Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia
2019	—	`conf`	Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks. ICIAR (2) Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia
2019	J	`jnl`	Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. Bioinform. Mohammad Sajjad Ghaemi, Daniel B. DiGiulio, Kévin Contrepois, Benjamin J. Callahan, Thuy T. M. Ngo, Brittany Lee-McMullen, Benoit Lehallier, Anna Robaczewska, David Mcilwain, Yael Rosenberg-Hasson, Ronald J. Wong, Cecele Quaintance, Anthony Culos, Natalie Stanley, Athena Tanada, Amy Tsai, Dyani Gaudilliere, Edward Ganio, Xiaoyuan Han, Kazuo Ando, Leslie McNeil, Martha Tingle, Paul H. Wise, Ivana Maric, Marina Sirota, Tony Wyss-Coray, Virginia D. Winn, Maurice L. Druzin, Ronald Gibbs, Gary L. Darmstadt, David B. Lewis, Vahid Partovi Nia, Bruno Agard, Robert Tibshirani, Garry P. Nolan, Michael P. Snyder, David A. Relman, Stephen R. Quake, Gary M. Shaw, David K. Stevenson, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour
2019	J	`jnl`	Parallel Coordinate Order for High-Dimensional Data. CoRR Shaima Tilouche, Vahid Partovi Nia, Samuel Bassetto
2019	J	`jnl`	Random Bias Initialization Improving Binary Neural Network Training. CoRR Xinlin Li, Vahid Partovi Nia
2019	J	`jnl`	Smart Ternary Quantization. CoRR Grégoire Morin, Ryan Razani, Vahid Partovi Nia, Eyyüb Sari
2018	J	`jnl`	BNN+: Improved Binary Network Training. CoRR Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux, Vahid Partovi Nia
2018	A*	`conf`	Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models. NeurIPS Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Lai-Wan Chan, Yanhui Geng
2018	J	`jnl`	Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models. CoRR Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Laiwan Chan, Yanhui Geng
2016	—	`conf`	An Online Data Validation Algorithm for Electronic Nose. ICPRAM (Revised Selected Papers) Mina Mirshahi, Vahid Partovi Nia, Luc Adjengue
2016	J	`jnl`	Flight deck crew reserve: From data to forecasting. Eng. Appl. Artif. Intell. Amir-Hosein Homaie-Shandizi, Vahid Partovi Nia, Michel Gamache, Bruno Agard
2016	C	`conf`	Statistical Measurement Validation with Application to Electronic Nose Technology. ICPRAM Mina Mirshahi, Vahid Partovi Nia, Luc Adjengue