Zobrazeno 1 - 10
of 3 808
pro vyhledávání: '"A. Hemmat"'
Publikováno v:
Tulīd va Farāvarī-i Maḥṣūlāt-i Zirā̒ī va Bāghī, Vol 12, Iss 2, Pp 133-147 (2022)
Relative water content (RWC) in plants is one of the most important biochemical parameters and its deficiency limits efficiency of photosynthesis and crop productivity. The scientific reports on using spectroscopy in detecting drought stress for sesa
Externí odkaz:
https://doaj.org/article/397b45d4c43b4ff1be6a49cbebcbd33f
Autor:
Hemmat, Reyhane Askari, Hall, Melissa, Sun, Alicia, Ross, Candace, Drozdzal, Michal, Romero-Soriano, Adriana
With the growing popularity of text-to-image generative models, there has been increasing focus on understanding their risks and biases. Recent work has found that state-of-the-art models struggle to depict everyday objects with the true diversity of
Externí odkaz:
http://arxiv.org/abs/2406.04551
Autor:
Bordes, Florian, Pang, Richard Yuanzhe, Ajay, Anurag, Li, Alexander C., Bardes, Adrien, Petryk, Suzanne, Mañas, Oscar, Lin, Zhiqiu, Mahmoud, Anas, Jayaraman, Bargav, Ibrahim, Mark, Hall, Melissa, Xiong, Yunyang, Lebensold, Jonathan, Ross, Candace, Jayakumar, Srihari, Guo, Chuan, Bouchacourt, Diane, Al-Tahan, Haider, Padthe, Karthik, Sharma, Vasu, Xu, Hu, Tan, Xiaoqing Ellen, Richards, Megan, Lavoie, Samuel, Astolfi, Pietro, Hemmat, Reyhane Askari, Chen, Jun, Tirumala, Kushal, Assouel, Rim, Moayeri, Mazda, Talattof, Arjang, Chaudhuri, Kamalika, Liu, Zechun, Chen, Xilun, Garrido, Quentin, Ullrich, Karen, Agrawal, Aishwarya, Saenko, Kate, Celikyilmaz, Asli, Chandra, Vikas
Following the recent popularity of Large Language Models (LLMs), several attempts have been made to extend them to the visual domain. From having a visual assistant that could guide us through unfamiliar environments to generative models that produce
Externí odkaz:
http://arxiv.org/abs/2405.17247
Autor:
AskariHemmat, MohammadHossein, Jeddi, Ahmadreza, Hemmat, Reyhane Askari, Lazarevich, Ivan, Hoffman, Alexander, Sah, Sudhakar, Saboori, Ehsan, Savaria, Yvon, David, Jean-Pierre
Quantization lowers memory usage, computational requirements, and latency by utilizing fewer bits to represent model weights and activations. In this work, we investigate the generalization properties of quantized neural networks, a characteristic th
Externí odkaz:
http://arxiv.org/abs/2404.11769
Autor:
Hemmat, Reyhane Askari, Pezeshki, Mohammad, Bordes, Florian, Drozdzal, Michal, Romero-Soriano, Adriana
Current status quo in machine learning is to use static datasets of real images for training, which often come from long-tailed distributions. With the recent advances in generative models, researchers have started augmenting these static datasets wi
Externí odkaz:
http://arxiv.org/abs/2310.00158
A constitution is the highest legal document of a country and serves as a guide for the establishment of other laws. The constitution defines the political principles, structure, hierarchy, position, and limits of the political power of a country's g
Externí odkaz:
http://arxiv.org/abs/2309.13051
Autor:
Hemmat, Minoosh, Ayari, Sabrine, Micica, Martin, Vergnet, Hadrien, Shasha, Guo, Arfaoui, Mehdi, Yu, Xuechao, Vala, Daniel, Wright, Adrien, Postava, Kamil, Mangeney, Juliette, Carosella, Francesca, Jaziri, Sihem, Wang, Qi Jie, Zheng, Liu, Tignon, Jerome, Ferreira, Robson, Baudin, Emmanuel, Dhillon, Sukhdeep
Platinum diselenide (PtSe2) is a promising two-dimensional (2D) material for the terahertz (THz) range as, unlike other transition metal dichalcogenides (TMDs), its bandgap can be uniquely tuned from a semiconductor in the near-infrared to a semimeta
Externí odkaz:
http://arxiv.org/abs/2304.02070
Autor:
Khattab, Hemmat I.1 (AUTHOR), Sadak, Mervat Sh.2 (AUTHOR) mervat_sh24@yahoo.com, Dawood, Mona G.2 (AUTHOR), Elkady, Fatma M. A.2 (AUTHOR), Helal, Nesma M.1 (AUTHOR)
Publikováno v:
BMC Plant Biology. 10/15/2024, Vol. 24 Issue 1, p1-17. 17p.
Autor:
AskariHemmat, MohammadHossein, Hemmat, Reyhane Askari, Hoffman, Alex, Lazarevich, Ivan, Saboori, Ehsan, Mastropietro, Olivier, Sah, Sudhakar, Savaria, Yvon, David, Jean-Pierre
In this paper we study the effects of quantization in DNN training. We hypothesize that weight quantization is a form of regularization and the amount of regularization is correlated with the quantization level (precision). We confirm our hypothesis
Externí odkaz:
http://arxiv.org/abs/2206.12372
Publikováno v:
In International Journal of Biological Macromolecules October 2024 277 Part 4