Publications

Google Scholar

Preprints

  1. 2026

    A Basin-Selection Perspective on Grokking via Singular Learning Theory

    Ben Cullen, Sergio Estan-Ruiz, Riya Danait, and Jiayi Li

    arXiv:2603.01192

  2. 2026

    Identifiability in Graphical Discrete Lyapunov Models

    Cecilie Olesen Recke, Sarah Lumpp, Nataliia Kushnerchuk, Janike Oldekop, Jiayi Li, Jane Ivy Coons, and Elina Robeva

    arXiv:2601.21818 · Minor revision at Electronic Journal of Statistics

Published work

  1. 2024

    Geometry of Polynomial Neural Networks

    Kaie Kubjas, Jiayi Li, and Maximilian Wiesmann

    Algebraic Statistics, 15, 295–328

  2. 2024

    Pull-back Geometry of Persistent Homology Encodings

    Shuang Liang, Renata Turkeš, Jiayi Li, Nina Otter, and Guido Montúfar

    Transactions on Machine Learning Research

  3. 2024

    New Directions in Algebraic Statistics: Three Challenges from 2023

    Yulia Alexandr, Miles Bakenhus, Maize Curiel, Sameer K. Deshpande, Elizabeth Gross, Yuqi Gu, Max Hill, Joseph Johnson, Bryson Kagy, Vishesh Karwa, Jiayi Li, Hanbaek Lyu, Sonja Petrović, and Jose Israel Rodriguez

    Algebraic Statistics, 15, 357–382

  4. 2024

    Discussion of “Estimating Means of Bounded Random Variables by Betting”

    Jiayi Li, Yuantong Li, and Xiaowu Dai

    Journal of the Royal Statistical Society: Series B, 86(1), 41–43 (2024; published online in 2023)

  5. 2022

    Image-Based Regulation of Mobile Robots without Pose Measurements

    Dejun Guo, Xu Jin, Dan Shao, Jiayi Li, Yang Shen, and Huan Tan

    IEEE Control Systems Letters, 6, 2156–2161

  6. 2021

    A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics

    Ziqi Huang, Yang Shen, Jiayi Li, Marcel Fey, and Christian Brecher

    Sensors, 21(19), 6340

Selected editorials

Editor in Chief of ACM XRDS, 2022–2025.

  1. 2024
  2. 2023
  3. 2023