Publications

publications by categories in reversed chronological order.

2025

  1. Fused Partial Gromov-Wasserstein for Structured Objects
    Yikun Bai, Huy Tran, Hengrong Du, and 2 more authors
    arXiv preprint arXiv:2502.09934, 2025

2024

  1. arXiv
    Understanding Learning with Sliced-Wasserstein Requires Rethinking Informative Slices
    Huy Tran*, Yikun Bai*, Ashkan Shahbazi, and 2 more authors
    arXiv preprint arXiv:2411.10651, 2024
  2. ICLR
    Expected sliced transport plans
    Xinran Liu, Rocío Díaz Martín, Yikun Bai, and 4 more authors
    International Conference on Learning Representations (ICLR), 2024
  3. ICLR
    Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data (spotlight)
    Xinran Liu, Yikun Bai, Rocío Díaz Martín, and 5 more authors
    International Conference on Learning Representations (ICLR), 2024
  4. ICLR
    Linear Partial Gromov-Wasserstein Embedding
    Yikun Bai, Abihith Kothapalli, Hengrong Du, and 2 more authors
    International Conference on Learning Representations (ICLR), 2024
  5. ICML
    Stereographic Spherical Sliced Wasserstein Distances (spotlight)
    Huy Tran*, Yikun Bai*, Abihith Kothapalli*, and 4 more authors
    International Conference on Machine Learning, 2024
  6. SaSiDa
    Partial Transport for Point-Cloud Registration
    Yikun Bai, Huy Tran, Steven B Damelin, and 1 more author
    Sampling Theory, Signal Processing, and Data Analysis (SaSiDa), 2024
  7. ICLR
    LCOT: Linear Circular Optimal Transport
    Rocio P Diaz Martin*, Ivan Vladimir Medri*, Yikun Bai*, and 4 more authors
    International Conference on Learning Representations (ICLR), 2024
  8. ICLR
    Partial Gromov-Wasserstein Metric
    Yikun Bai, Rocio Diaz Martin, Hengrong Du, and 2 more authors
    International Conference on Learning Representations (ICLR), 2024

2023

  1. CVPR
    Sliced optimal partial transport
    Yikun Bai*, Bernhard Schmitzer*, Mathew Thorpe, and 1 more author
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  2. ICML
    Linear optimal partial transport embedding
    Yikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin, and 2 more authors
    In International Conference on Machine Learning, 2023
  3. NeurIPS OT workshop
    PTLp: Partial Transport Lp Distances
    Xinran Liu*, Yikun Bai*, Zhanqi Zhu, and 2 more authors
    Optimal Transport and Machine Learning Workshop at Neural Information Processing Systems (NeurIPS OT workshop), 2023
  4. IEEE-TIT
    Information constrained optimal transport: From talagrand, to marton, to cover
    Yikun Bai, Xiugang Wu, and Ayfer Özgür
    IEEE Transactions on Information Theory, 2023
  5. JMLR
    Understanding Entropic Regularization in GANs
    Daria Reshetova, Yikun Bai, Xiugang Wu, and 1 more author
    In Journal of Machine Learning Research, 2023

2022

  1. NN
    Wasserstein Task Embedding for Measuring Task Similarities
    Xinran Liu, Yikun Bai, Yuzhe Lu, and 2 more authors
    Neural Networks, 2022

2021

  1. ISIT
    Understanding entropic regularization in gans
    Daria Reshetova, Yikun Bai, Xiugang Wu, and 1 more author
    In 2021 IEEE International Symposium on Information Theory (ISIT), 2021

2020

  1. ISIT
    Information Constrained Optimal Transport: From Talagrand, to Marton, to Cover
    Yikun Bai, Xiugang Wu, and Ayfer Özgür
    In 2020 IEEE International Symposium on Information Theory (ISIT), 2020
  2. ISIT
    Information Constrained Optimal Transport: From Talagrand, to Marton, to Cover
    Yikun Bai, Xiugang Wu, and Afyer Özgür
    In 2020 IEEE International Symposium on Information Theory (ISIT), 2020

2018

  1. ANM
    A rational radial basis function method for accurately resolving discontinuities and steep gradients
    Scott A Sarra, and Yikun Bai
    Applied Numerical Mathematics, 2018