Zobrazeno 1 - 10
of 454
pro vyhledávání: '"GUO Siyuan"'
Publikováno v:
Folia Horticulturae, Vol 36, Iss 2, Pp 221-233 (2024)
The introduction of horticultural therapy to university campuses has gradually become an effective way to promote college students’ interaction with nature, improve their health and increase the quality of their study environment. However, many cur
Externí odkaz:
https://doaj.org/article/c75dedb56b13446a91c7861e35719d49
Publikováno v:
中国工程科学, Vol 25, Iss 2, Pp 50-58 (2023)
Satellite navigation has all-weather, all-time, and low-cost advantages and has become the most widely used means of positioning, navigation, and timing (PNT) service since its inception. However, to avoid excessive reliance on the single means of sa
Externí odkaz:
https://doaj.org/article/5834a6c4564b42608a45bde5275e17f8
Publikováno v:
口腔疾病防治, Vol 31, Iss 4, Pp 252-256 (2023)
Objective To investigate the osteogenic effect of β-tricalcium phosphate (β-TCP) and bone morphogenetic protein-2 (BMP-2) in the repair of the alveolar cleft. Methods Fifty-nine patients with unilateral alveolar cleft who visited Capital Medical Un
Externí odkaz:
https://doaj.org/article/2772588c1603410db5e6efda1221e98b
Autor:
Guo, Siyuan, Wang, Lexuan, Jin, Chang, Wang, Jinxian, Peng, Han, Shi, Huayang, Li, Wengen, Guan, Jihong, Zhou, Shuigeng
This paper introduces M$^{3}$-20M, a large-scale Multi-Modal Molecular dataset that contains over 20 million molecules. Designed to support AI-driven drug design and discovery, M$^{3}$-20M is 71 times more in the number of molecules than the largest
Externí odkaz:
http://arxiv.org/abs/2412.06847
Identifying latent representations or causal structures is important for good generalization and downstream task performance. However, both fields have been developed rather independently. We observe that several methods in both representation and ca
Externí odkaz:
http://arxiv.org/abs/2406.14302
We study causal effect estimation in a setting where the data are not i.i.d. (independent and identically distributed). We focus on exchangeable data satisfying an assumption of independent causal mechanisms. Traditional causal effect estimation fram
Externí odkaz:
http://arxiv.org/abs/2405.18836
Autor:
Guo, Siyuan, Didolkar, Aniket, Ke, Nan Rosemary, Goyal, Anirudh, Huszár, Ferenc, Schölkopf, Bernhard
We are beginning to see progress in language model assisted scientific discovery. Motivated by the use of LLMs as a general scientific assistant, this paper assesses the domain knowledge of LLMs through its understanding of different mathematical ski
Externí odkaz:
http://arxiv.org/abs/2405.15485
Autor:
Didolkar, Aniket, Goyal, Anirudh, Ke, Nan Rosemary, Guo, Siyuan, Valko, Michal, Lillicrap, Timothy, Rezende, Danilo, Bengio, Yoshua, Mozer, Michael, Arora, Sanjeev
Metacognitive knowledge refers to humans' intuitive knowledge of their own thinking and reasoning processes. Today's best LLMs clearly possess some reasoning processes. The paper gives evidence that they also have metacognitive knowledge, including a
Externí odkaz:
http://arxiv.org/abs/2405.12205
In this work, we investigate the potential of large language models (LLMs) based agents to automate data science tasks, with the goal of comprehending task requirements, then building and training the best-fit machine learning models. Despite their w
Externí odkaz:
http://arxiv.org/abs/2402.17453
Autor:
Kumar, Ishan, Jin, Zhijing, Mokhtarian, Ehsan, Guo, Siyuan, Chen, Yuen, Sachan, Mrinmaya, Schölkopf, Bernhard
Citation count of a paper is a commonly used proxy for evaluating the significance of a paper in the scientific community. Yet citation measures are widely criticized for failing to accurately reflect the true impact of a paper. Thus, we propose Caus
Externí odkaz:
http://arxiv.org/abs/2311.02790