Gravitational Waves

引力波数据分析中的人工智能方法

系统梳理人工智能方法在引力波数据分析中的应用，从信号识别、参数估计到模拟推断，构建物理驱动与数据驱动相融合的方法论体系。全书五部十二章；提供 HTML 在线阅读、PDF 下载与 LaTeX 源码。

Evolutionary and Reinforcement Learning Approaches for GW Data Analysis

2026/01/27 | Flash Talk @GWFREERIDE

AI × 宇宙学：从算法工具到科学发现的新范式

AI and Cosmology | 2026/01/10 10:00-11:00 | 第五届后羿系列研讨会

WaveFormer: Transformer-based Denoising Method for Gravitational-wave Data

MLA Call, December 2025

大模型驱动的科学计算新范式：自动化算法发现及其在引力波探测中的应用

"LLM and Science" Program, ITP-CAS, December 2025

Fundamentals of Machine Learning for Gravitational Wave Search

Lecture at the International Training Workshop on Frontiers from Quantum and Cosmic Physics (FQCP2025)

面向引力波信号探测的可解释AI新范式：大模型驱动的算法重构

CGE-HUST Seminar, November 2025

LLM-Guided Evolutionary Monte Carlo Tree Search for Explainable Algorithm Discovery in Gravitational-Wave Detection

Nature Conferences: "AI for Discovery and Research Automation"

可解释 AI 与强化学习协同驱动的引力波数据处理新方法探索

TianQin Center Seminar, September 2025

Automated Algorithmic Discovery for Gravitational-Wave Detection Guided by LLM-Informed Evolutionary Monte Carlo Tree Search

LVK F2F Meeting, September 2025