4 papers
LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
Zhuo Chen, Xinzhe Yuan, Jianshu Zhang +8
The high cost and data scarcity in scientific exploration have motivated the use of large language models (LLMs) as knowledge-driven components in Bayesian optimization (BO). Howev…
Discovery of unobservable parameters via physical embedding
Le Cheng, Xiaoran Liu, Lingjin Kong +7
Recovering a source signal from indirect measurements often requires estimating latent parameters, such as wireless channel states or MRI coil sensitivities, that cannot be directl…
Covariance Matrix Estimation for High-Dimensional Interval-Valued Data with Positive Definiteness
Wan Tian, Wenhao Cui, Rui Zhang +3
In the realm of high-dimensional data analysis, the estimation of covariance matrices is a fundamental task, and this holds true for interval-valued data as well. However, there is…
Fabry-Perot resonance modes in a MoS-based vertical stacking cavity for strong light-matter coupling and topological phase singularity
Zhonglin Li, Yingying Wang, Xianglin Li +3
Rich dielectric properties in atomic transition metal dichalcogenides (TMDs) enhance light-matter interactions and contribute to a variety of optical phenomena. The direct transfer…