\begin{thebibliography}{1}

\bibitem{long2022perturbational}
Jihao Long and Jiequn Han.
\newblock Perturbational complexity by distribution mismatch: A systematic
  analysis of reinforcement learning in reproducing kernel hilbert space.
\newblock {\em Journal of Machine Learning vol}, 1:1--37, 2022.

\bibitem{xie2022ab}
Hao Xie, Linfeng Zhang, and Lei Wang.
\newblock Ab-initio study of interacting fermions at finite temperature with
  neural canonical transformation.
\newblock {\em Journal of Machine Learning vol}, 1:38--59, 2022.

\bibitem{zhang2022embedding}
Yaoyu Zhang, Yuqing Li, Zhongwang Zhang, Tao Luo, and Zhi-Qin~John Xu.
\newblock Embedding principle: a hierarchical structure of loss landscape of
  deep neural networks.
\newblock {\em Journal of Machine Learning vol}, 1:60--113, 2022.

\bibitem{fang2021deepn}
Lidong Fang, Pei Ge, Lei Zhang, Weinan E, and Huan Lei.
\newblock Deepn2: A deep learning-based non-newtonian hydrodynamic model.
\newblock {\em Journal of Machine Learning vol}, 1:114--140, 2022.

\end{thebibliography}