Publications

  • Functional Connectomes of Neural Networks
    Tananun Songdechakraiwut, Yutong Wu
    AAAI '25 Association for the Advancement of Artificial Intelligence Conference. 2025.
    [arXiv] [Code] [Talk] [Poster]

  • Topological Learning for Brain Networks
    Tananun Songdechakraiwut, Moo Chung
    Annals of Applied Statistics. 2023.
    [PDF] [arXiv] [Code]

  • Wasserstein Distance-Preserving Vector Space of Persistent Homology
    Tananun Songdechakraiwut, Bryan Krause, Matthew Banks, Kirill Nourski, Barry Van Veen
    MICCAI '23 International Conference on Medical Image Computing and Computer Assisted Intervention. 2023.
    (Presented at NeurIPS '22 Workshop on Medical Imaging meets NeurIPS)
    [arXiv] [Poster]

  • Topological Continual Learning with Wasserstein Distance and Barycenter
    Tananun Songdechakraiwut, Xiaoshuang Yin, Barry Van Veen
    Preprint. 2022. (Presented at NeurIPS '22 Workshop on Meta-Learning)
    [arXiv]

  • Fast Topological Clustering with Wasserstein Distance
    Tananun Songdechakraiwut, Bryan Krause, Matthew Banks, Kirill Nourski, Barry Van Veen
    ICLR '22 International Conference on Learning Representations. 2022.
    [PDF] [Review] [Code] [Talk] [Poster]

  • Learning to Continually Learn with Topological Regularization
    Tananun Songdechakraiwut, Xiaoshuang Yin, Barry Van Veen
    NeurIPS '22 Workshop on Symmetry and Geometry in Neural Representations. 2022.
    [PDF]

  • Scalable Vector Representation for Topological Data Analysis Based Classification
    Tananun Songdechakraiwut, Bryan Krause, Matthew Banks, Kirill Nourski, Barry Van Veen
    NeurIPS '22 Workshop on Symmetry and Geometry in Neural Representations. 2022.
    [PDF]

  • Topological Learning and Its Application to Multimodal Brain Network Integration
    Tananun Songdechakraiwut, Li Shen, Moo Chung
    MICCAI '21 International Conference on Medical Image Computing and Computer Assisted Intervention. 2021.
    [PDF] [Review] [Slides] [Poster]

  • Dynamic Topological Data Analysis for Functional Brain Signals
    Tananun Songdechakraiwut, Moo Chung
    IEEE ISBI '20 International Symposium on Biomedical Imaging. 2020.
    [PDF]