LLM

Automated Algorithmic Discovery for Scientific Computing through LLM-Guided Evolutionary Search: A Case Study in Gravitational-Wave Detection

A framework for automated discovery of gravitational-wave detection algorithms, combining LLM guidance with Evolutionary Monte Carlo Tree Search, enabling efficient and creative pipeline discovery.

引力波数据处理与人工智能技术应用

学术访问

Interpretable Gravitational Wave Data Analysis with Deep Learning and Large Language Models

学术访问

Interpretable Gravitational Wave Data Analysis with Deep Learning and Large Language Models

The 12th KAGRA international workshop (KIW-12)

Interpretable Gravitational Wave Data Analysis with Deep Learning and Large Language Models

BIMSA Workshop on Gravitational Wave Astronomy

Towards Transparent AI in Gravitational Wave Data Analysis: Methods, Limitations, and New Directions

2025昆明引力年会

Deep Learning Applications in Gravitational Wave Data Analysis: From Discovery to Characterization

PKU-KIAA 访问研讨会

Intelligent Noise Suppression for GW Observational Data

2023 中国物理学会秋季学术会议 | 中国·银川. Website: http://meeting.cps-net.org.cn/nxu2023/