Ziming Liu

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Ziming Liu (刘子鸣)

AI & Physics Researcher

PhD student @ MIT & IAIFI

Email: zmliu@mit.edu

Hi! I’m Ziming, a fourth-year PhD student at MIT & IAIFI, advised by Prof. Max Tegmark. Get my CV here. My research interests lie in the intersection of AI and physics (science in general):

  • Physics of AI: “AI as simple as physics”
  • Physics for AI: “AI as natural as physics”
  • AI for physics: “AI as powerful as physicists”

Serving the ultimtate goal of building a better world using AI + Science, I have interests in a broad range of topics, including but not limited to AI Scientists, physics-inspired deep learning, science of deep learning, mechanistic interpretability, etc. I publish papers both in top physics journals and AI conferences. I serve as a reviewer for Physcial Reviews, NeurIPS, ICLR, IEEE, etc. I co-organized the AI4Science workshops.

I love working with collaborators from various scientific backgrounds, and my research have strong interdisciplinary nature, e.g., Kolmogorov-Arnold networks (Math for AI), Poisson Flow Generative Models (Physics for AI), Brain-inspired modular training (Neuroscience for AI), understanding Grokking (physics of AI), conservation laws and symmetries (AI for physics).

latest posts

selected publications

  1. kan.png
    KAN: Kolmogorov-arnold networks
    Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljačić, Thomas Y Hou, and Max Tegmark
    arXiv:2404.19756, 2024
  2. bimt.png
    Seeing is believing: Brain-inspired modular training for mechanistic interpretability
    Ziming Liu, Eric Gan, and Max Tegmark
    Entropy, 2023
  3. naturereview.png
    Scientific discovery in the age of artificial intelligence
    Nature, 2023
  4. pizza.png
    The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks
    Ziqian Zhong, Ziming Liu, Max Tegmark, and Jacob Andreas
    In Thirty-seventh Conference on Neural Information Processing Systems , 2023
  5. omnigrok.png
    Omnigrok: Grokking Beyond Algorithmic Data
    Ziming Liu, Eric J Michaud, and Max Tegmark
    In The Eleventh International Conference on Learning Representations , 2023
  6. pfgm.png
    Poisson Flow Generative Models
    Yilun Xu, Ziming Liu, Max Tegmark, and Tommi S. Jaakkola
    In Advances in Neural Information Processing Systems , 2022
  7. hiddensymmetry.png
    Machine Learning Hidden Symmetries
    Ziming Liu, and Max Tegmark
    Phys. Rev. Lett., 2022
  8. poincare.png
    Machine Learning Conservation Laws from Trajectories
    Ziming Liu, and Max Tegmark
    Phys. Rev. Lett., 2021