Zobrazeno 1 - 10
of 1 728
pro vyhledávání: '"Tran, Duy A."'
Autor:
Lee, Joseph, Yang, Shu, Baik, Jae Young, Liu, Xiaoxi, Tan, Zhen, Li, Dawei, Wen, Zixuan, Hou, Bojian, Duong-Tran, Duy, Chen, Tianlong, Shen, Li
Predicting phenotypes with complex genetic bases based on a small, interpretable set of variant features remains a challenging task. Conventionally, data-driven approaches are utilized for this task, yet the high dimensional nature of genotype data m
Externí odkaz:
http://arxiv.org/abs/2410.01795
Recently, there has been a revived interest in system neuroscience causation models due to their unique capability to unravel complex relationships in multi-scale brain networks. In this paper, our goal is to verify the feasibility and effectiveness
Externí odkaz:
http://arxiv.org/abs/2409.18298
Autor:
Nguyen, Nghi, Hou, Tao, Amico, Enrico, Zheng, Jingyi, Huang, Huajun, Kaplan, Alan D., Petri, Giovanni, Goñi, Joaquín, Kaufmann, Ralph, Zhao, Yize, Duong-Tran, Duy, Shen, Li
Higher-order properties of functional magnetic resonance imaging (fMRI) induced connectivity have been shown to unravel many exclusive topological and dynamical insights beyond pairwise interactions. Nonetheless, whether these fMRI-induced higher-ord
Externí odkaz:
http://arxiv.org/abs/2407.05060
Autor:
Nguyen, Duy M. H., Le, An T., Nguyen, Trung Q., Diep, Nghiem T., Nguyen, Tai, Duong-Tran, Duy, Peters, Jan, Shen, Li, Niepert, Mathias, Sonntag, Daniel
Prompt learning methods are gaining increasing attention due to their ability to customize large vision-language models to new domains using pre-trained contextual knowledge and minimal training data. However, existing works typically rely on optimiz
Externí odkaz:
http://arxiv.org/abs/2407.04489
Autor:
Duong-Tran, Duy, Nguyen, Nghi, Mu, Shizhuo, Chen, Jiong, Bao, Jingxuan, Xu, Frederick, Garai, Sumita, Cadena-Pico, Jose, Kaplan, Alan David, Chen, Tianlong, Zhao, Yize, Shen, Li, Goñi, Joaquín
In systems and network neuroscience, many common practices in brain connectomic analysis are often not properly scrutinized. One such practice is mapping a predetermined set of sub-circuits, like functional networks (FNs), onto subjects' functional c
Externí odkaz:
http://arxiv.org/abs/2406.18531
Publikováno v:
The 6th International Conference for Small & Medium Business in 2020 (ICSMB 2020)
In recent years, a study by environmental organizations in the world and Vietnam shows that weather change is quite complex. global warming has become a serious problem in the modern world, which is a concern for scientists. last century, it was diff
Externí odkaz:
http://arxiv.org/abs/2405.17582
Nowadays, engineers need to tackle many unprecedented challenges that are often complex, and, most importantly, cannot be exhaustively compartmentalized into a single engineering discipline. In other words, most engineering problems need to be solved
Externí odkaz:
http://arxiv.org/abs/2407.17584
Autor:
Li, Dawei, Yang, Shu, Tan, Zhen, Baik, Jae Young, Yun, Sukwon, Lee, Joseph, Chacko, Aaron, Hou, Bojian, Duong-Tran, Duy, Ding, Ying, Liu, Huan, Shen, Li, Chen, Tianlong
Recent advancements in large language models (LLMs) have achieved promising performances across various applications. Nonetheless, the ongoing challenge of integrating long-tail knowledge continues to impede the seamless adoption of LLMs in specializ
Externí odkaz:
http://arxiv.org/abs/2405.04819
In this paper, we examine Yangjun Chen's technical report titled ``The 2-MAXSAT Problem Can Be Solved in Polynomial Time'' [Che23], which revises and expands upon their conference paper of the same name [Che22]. Chen's paper purports to build a polyn
Externí odkaz:
http://arxiv.org/abs/2404.00006
In this paper, we take a closer look at Czerwinski's "${\rm P}\neq{\rm NP}$ relative to a ${\rm P}$-complete oracle" [Cze23]. There are (uncountably) infinitely-many relativized worlds where ${\rm P}$ and ${\rm NP}$ differ, and it is well-known that
Externí odkaz:
http://arxiv.org/abs/2312.04395