Publications

publications by categories in reversed chronological order.

some "*" and "**" denote equal contribution

2023

  1. Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
    Hien Dang*, Tho Tran*, Stanley Osher, Hung Tran-The, Nhat Ho**, and Tan Nguyen**
    Proceedings of the 40th International Conference on Machine Learning, 2023

2024

  1. Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature Model
    Hien Dang, Tho Tran, Tan Nguyen**, and Nhat Ho**
    Under review, 2024
  2. Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
    Hien Dang, Tho Tran, Tan Nguyen**, and Nhat Ho**
    12th International Conference on Learning Representation, 2024