Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Chockchowwat, Supawit"'
Computational notebooks (e.g., Jupyter, Google Colab) are widely used by data scientists. A key feature of notebooks is the interactive computing model of iteratively executing cells (i.e., a set of statements) and observing the result (e.g., model o
Externí odkaz:
http://arxiv.org/abs/2406.13856
The end-to-end lookup latency of a hierarchical index -- such as a B-tree or a learned index -- is determined by its structure such as the number of layers, the kinds of branching functions appearing in each layer, the amount of data we must fetch fr
Externí odkaz:
http://arxiv.org/abs/2306.14395
In machine learning (ML), Python serves as a convenient abstraction for working with key libraries such as PyTorch, scikit-learn, and others. Unlike DBMS, however, Python applications may lose important data, such as trained models and extracted feat
Externí odkaz:
http://arxiv.org/abs/2305.08770
Autor:
Sheoran, Nikhil, Chockchowwat, Supawit, Chheda, Arav, Wang, Suwen, Verma, Riya, Park, Yongjoo
For exploratory data analysis, it is often desirable to know what answers you are likely to get before actually obtaining those answers. This can potentially be achieved by designing systems to offer the estimates of a data operation result -- say op
Externí odkaz:
http://arxiv.org/abs/2303.04103
Existing learned indexes (e.g., RMI, ALEX, PGM) optimize the internal regressor of each node, not the overall structure such as index height, the size of each layer, etc. In this paper, we share our recent findings that we can achieve significantly f
Externí odkaz:
http://arxiv.org/abs/2208.03823
A crucial step in single particle analysis (SPA) of cryogenic electron microscopy (Cryo-EM), 2D classification and alignment takes a collection of noisy particle images to infer orientations and group similar images together. Averaging these aligned
Externí odkaz:
http://arxiv.org/abs/2206.12959
Modern data warehouses can scale compute nodes independently of storage. These systems persist their data on cloud storage, which is always available and cost-efficient. Ad-hoc compute nodes then fetch necessary data on-demand from cloud storage. Thi
Externí odkaz:
http://arxiv.org/abs/2112.13323
Autor:
Wu, Jiaxin, Chockchowwat, Supawit
Networked systems are widely applicable in real-world scenarios such as social networks, infrastructure networks, and biological networks. Among those applications, we are interested in social networks due to their complexity and popularity. One cruc
Externí odkaz:
http://arxiv.org/abs/2106.10408
Deep reinforcement learning (DRL) is capable of learning high-performing policies on a variety of complex high-dimensional tasks, ranging from video games to robotic manipulation. However, standard DRL methods often suffer from poor sample efficiency
Externí odkaz:
http://arxiv.org/abs/1906.01408
Consumer-grade printers are widely available, but their ability to print complex objects is limited. Therefore, new designs need to be discovered that serve the same function, but are printable. A representative such problem is to produce a working,
Externí odkaz:
http://arxiv.org/abs/1804.07284