1
Learning to Discover Iterative Spectral Algorithms
用机器学习自动发现迭代谱算法，突破人工设计瓶颈，开启算法发现新范式。
arXiv:2602.09530v2 Announce Type: replace-cross Abstract: We introduce AutoSpec, a neural network framework for discovering iterative spectral algorit…
2
A Probabilistic Framework for LLM-Based Model Discovery
用概率框架给LLM当“侦探”，从模型迷宫中自动发现隐藏结构，开箱即用的新思路。
arXiv:2602.18266v2 Announce Type: replace Abstract: Automated methods for discovering mechanistic simulator models from observational data offer a pro…