Zobrazeno 1 - 10
of 4 908
pro vyhledávání: '"A. Tajbakhsh"'
Autor:
S. Тabashi, D. Abtahi, B. Farzanegan, S. Behagh, P. Raji, M. Dahi, M. Moshari, M. Vosoughian, S. Dabir, S. Sayyadi, A. Tajbakhsh
Publikováno v:
Вестник анестезиологии и реаниматологии, Vol 20, Iss 2, Pp 66-72 (2023)
Background. Since the beginning of COVID-19 pandemic, the importance of clinical criteria for tracheal intubation in critically ill patients with respiratory failure became more noteworthy, especially in resource limitations. The objective was to eva
Externí odkaz:
https://doaj.org/article/4afa7f6d6f39456fb16776434f5df3e9
Autor:
Trinh, Han, Vice, Jordan, Charng, Jason, Tajbakhsh, Zahra, Alam, Khyber, Chen, Fred K., Mian, Ajmal
Inherited retinal diseases (IRDs) are a diverse group of genetic disorders that lead to progressive vision loss and are a major cause of blindness in working-age adults. The complexity and heterogeneity of IRDs pose significant challenges in diagnosi
Externí odkaz:
http://arxiv.org/abs/2410.09105
Text-to-image (T2I) diffusion models have become prominent tools for generating high-fidelity images from text prompts. However, when trained on unfiltered internet data, these models can produce unsafe, incorrect, or stylistically undesirable images
Externí odkaz:
http://arxiv.org/abs/2409.06493
Autor:
Liu, Yin, Tajbakhsh, Sam Davanloo
Performance analysis of first-order algorithms with inexact oracle has gained recent attention due to various emerging applications in which obtaining exact gradients is impossible or computationally expensive. Previous research has demonstrated that
Externí odkaz:
http://arxiv.org/abs/2408.00720
Autor:
Lozhkov, Anton, Li, Raymond, Allal, Loubna Ben, Cassano, Federico, Lamy-Poirier, Joel, Tazi, Nouamane, Tang, Ao, Pykhtar, Dmytro, Liu, Jiawei, Wei, Yuxiang, Liu, Tianyang, Tian, Max, Kocetkov, Denis, Zucker, Arthur, Belkada, Younes, Wang, Zijian, Liu, Qian, Abulkhanov, Dmitry, Paul, Indraneil, Li, Zhuang, Li, Wen-Ding, Risdal, Megan, Li, Jia, Zhu, Jian, Zhuo, Terry Yue, Zheltonozhskii, Evgenii, Dade, Nii Osae Osae, Yu, Wenhao, Krauß, Lucas, Jain, Naman, Su, Yixuan, He, Xuanli, Dey, Manan, Abati, Edoardo, Chai, Yekun, Muennighoff, Niklas, Tang, Xiangru, Oblokulov, Muhtasham, Akiki, Christopher, Marone, Marc, Mou, Chenghao, Mishra, Mayank, Gu, Alex, Hui, Binyuan, Dao, Tri, Zebaze, Armel, Dehaene, Olivier, Patry, Nicolas, Xu, Canwen, McAuley, Julian, Hu, Han, Scholak, Torsten, Paquet, Sebastien, Robinson, Jennifer, Anderson, Carolyn Jane, Chapados, Nicolas, Patwary, Mostofa, Tajbakhsh, Nima, Jernite, Yacine, Ferrandis, Carlos Muñoz, Zhang, Lingming, Hughes, Sean, Wolf, Thomas, Guha, Arjun, von Werra, Leandro, de Vries, Harm
The BigCode project, an open-scientific collaboration focused on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder2. In partnership with Software Heritage (SWH), we build The Stack v2 on top of the digita
Externí odkaz:
http://arxiv.org/abs/2402.19173
Autor:
Li, Shengzhi, Tajbakhsh, Nima
In this work, we present SciGraphQA, a synthetic multi-turn question-answer dataset related to academic graphs. SciGraphQA is 13 times larger than ChartVQA, the previously largest chart-visual question-answering dataset. It is also the largest open-s
Externí odkaz:
http://arxiv.org/abs/2308.03349
This paper presents a novel and efficient collision checking approach called Updating and Collision Check Skipping Quad-tree (USQ) for multi-robot motion planning. USQ extends the standard quad-tree data structure through a time-efficient update mech
Externí odkaz:
http://arxiv.org/abs/2307.07602
Autor:
Liu, Yin, Tajbakhsh, Sam Davanloo
Motivated by multiple emerging applications in machine learning, we consider an optimization problem in a general form where the gradient of the objective function is available through a biased stochastic oracle. We assume a bias-control parameter ca
Externí odkaz:
http://arxiv.org/abs/2306.07810
Autor:
Tajbakhsh, Kian
Publikováno v:
New Republic. Jun2024, Vol. 255 Issue 6, p31-33. 3p. 1 Cartoon or Caricature.
This paper presents a scalable multi-robot motion planning algorithm called Conflict-Based Model Predictive Control (CB-MPC). Inspired by Conflict-Based Search (CBS), the planner leverages a similar high-level conflict tree to efficiently resolve rob
Externí odkaz:
http://arxiv.org/abs/2303.01619