Zobrazeno 1 - 10
of 3 091
pro vyhledávání: '"Nguyen, Bao"'
Autor:
Tran, Nguyen-Bao-Long, Ngo, Tuan V., Ngo, Mao V., Chen, Binbin, Park, Jihong, Quek, Tony Q. S.
As telecommunications systems progress to support diverse use cases with heterogeneous and dynamic Quality of Service (QoS) requirements, it becomes an increasingly complex task to automatically manage various resources involved -- from radio, comput
Externí odkaz:
http://arxiv.org/abs/2410.09765
Learning conditional distributions is challenging because the desired outcome is not a single distribution but multiple distributions that correspond to multiple instances of the covariates. We introduce a novel neural entropic optimal transport meth
Externí odkaz:
http://arxiv.org/abs/2406.02317
Graph hypernetworks (GHNs), constructed by combining graph neural networks (GNNs) with hypernetworks (HNs), leverage relational data across various domains such as neural architecture search, molecular property prediction and federated learning. Desp
Externí odkaz:
http://arxiv.org/abs/2405.20882
Publikováno v:
International Particle Accelerator Conference 2024
As part of the Snowmass'21 planning exercise, the Advanced Accelerator Concepts community proposed developing multi-TeV linear colliders and considered beam-beam effects for these machines. Such colliders operate under a high disruption regime with a
Externí odkaz:
http://arxiv.org/abs/2405.09583
Autor:
Hartman, Sheri J, Dillon, Lindsay W, LaCroix, Andrea Z, Natarajan, Loki, Sears, Dorothy D, Owen, Neville, Dunstan, David W, Sallis, James F, Schenk, Simon, Allison, Matthew, Takemoto, Michelle, Herweck, Alexandra M, Nguyen, Bao, Rosenberg, Dori E
Publikováno v:
JMIR Research Protocols, Vol 10, Iss 5, p e28684 (2021)
BackgroundMany older adults spend the majority of their waking hours sitting, which increases their risk of chronic diseases. Given the challenges that many older adults face when engaging in moderate-to-vigorous physical activity, understanding the
Externí odkaz:
https://doaj.org/article/aceb194d00ce46ae846fa3bcfbb98015
Algorithmic recourse recommends a cost-efficient action to a subject to reverse an unfavorable machine learning classification decision. Most existing methods in the literature generate recourse under the assumption of complete knowledge about the co
Externí odkaz:
http://arxiv.org/abs/2402.15073
Despite impressive performance on language modelling and complex reasoning tasks, Large Language Models (LLMs) fall short on the same tasks in uncommon settings or with distribution shifts, exhibiting a lack of generalisation ability. By contrast, sy
Externí odkaz:
http://arxiv.org/abs/2402.02636
Autor:
Cha, Junuk, Lee, Hansol, Kim, Jaewon, Truong, Nhat Nguyen Bao, Yoon, Jae Shin, Baek, Seungryul
This paper introduces a novel pipeline to reconstruct the geometry of interacting multi-person in clothing on a globally coherent scene space from a single image. The main challenge arises from the occlusion: a part of a human body is not visible fro
Externí odkaz:
http://arxiv.org/abs/2401.06415
Flow matching is a powerful framework for generating high-quality samples in various applications, especially image synthesis. However, the intensive computational demands of these models, especially during the finetuning process and sampling process
Externí odkaz:
http://arxiv.org/abs/2312.16414
Autor:
Christodoulou, Ioannis, Haj Youssef, Moustafa, Wasim, Jahangir, Phan, Tam Thi Thanh, Reinhardt, Robert, Nguyen, Bao Ngoc
Publikováno v:
Journal of Asia Business Studies, 2024, Vol. 18, Issue 6, pp. 1541-1566.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JABS-03-2024-0127