Publications

(*) denotes equal contribution

2023

  1. Preprint
    Quasi-Monte Carlo for 3D Sliced Wasserstein
    Khai Nguyen, Nicolas Bariletto, and Nhat Ho
    arXiv preprint arXiv:2309.11713 2023
  2. Preprint
    Control Variate Sliced Wasserstein Estimators
    Khai Nguyen, and Nhat Ho
    arXiv preprint arXiv:2305.00402 2023
  3. Preprint
    Diffeomorphic Deformation via Sliced Wasserstein Distance Optimization for Cortical Surface Reconstruction
    Tung Le, Khai NguyenNhat Ho, and 3 more authors
    arXiv preprint arXiv:2305.17555 2023
  4. Preprint
    Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
    Huy Nguyen, Trung Tin Nguyen, Khai Nguyen, and 1 more author
    arXiv preprint arXiv:2305.07572 2023
  5. Preprint
    On Parameter Estimation in Deviated Gaussian Mixture of Experts
    Huy NguyenKhai Nguyen, and Nhat Ho
    Under Review 2023
  6. Energy-Based Sliced Wasserstein Distance
    Khai Nguyen, and Nhat Ho
    Advances in Neural Information Processing Systems 2023
  7. Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
    Dat Do, Huy NguyenKhai Nguyen, and 1 more author
    Advances in Neural Information Processing Systems 2023
  8. Markovian Sliced Wasserstein Distances: Beyond Independent Projections
    Khai NguyenTongzheng Ren, and Nhat Ho
    Advances in Neural Information Processing Systems 2023
  9. Robustify Transformers with Robust Kernel Density Estimation
    Xing Han, Tongzheng RenTan Nguyen, and 3 more authors
    Advances in Neural Information Processing Systems 2023
  10. Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
    Khai Nguyen*Dang Nguyen*, and Nhat Ho
    Proceedings of the 40th International Conference on Machine Learning 2023
  11. Fast Approximation of the Generalized Sliced-Wasserstein Distance
    Dung Le*, Huy Nguyen*Khai Nguyen*, and 2 more authors
    ICML 2023 Workshop on New Frontiers in Learning, Control, and Dynamical Systems 2023
  12. Hierarchical Sliced Wasserstein Distance
    Khai NguyenTongzheng RenHuy Nguyen, and 3 more authors
    International Conference on Learning Representations 2023
  13. Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment
    Dang Nguyen, Trang Nguyen, Khai Nguyen, and 3 more authors
    IEEE International Conference on Acoustics, Speech and Signal Processing 2023

2022

  1. Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution
    Khai Nguyen, and Nhat Ho
    Advances in Neural Information Processing Systems 2022
  2. Amortized Projection Optimization for Sliced Wasserstein Generative Models
    Khai Nguyen, and Nhat Ho
    Advances in Neural Information Processing Systems 2022
  3. Transformer with Fourier Integral Attentions
    Tan Nguyen, Minh Pham, Tam Nguyen, and 3 more authors
    Advances in Neural Information Processing Systems 2022
  4. Improving Transformer with an Admixture of Attention Heads
    Tan Nguyen, Tam Nguyen, Hai Do, and 6 more authors
    Advances in Neural Information Processing Systems 2022
  5. Improving Mini-batch Optimal Transport via Partial Transportation
    Khai Nguyen*Dang Nguyen*, The-Anh Vu Le, and 2 more authors
    In Proceedings of the 39th International Conference on Machine Learning 17–23 jul 2022
  6. On Transportation of Mini-batches: A Hierarchical Approach
    Khai NguyenDang Nguyen, Quoc Nguyen, and 5 more authors
    In Proceedings of the 39th International Conference on Machine Learning 17–23 jul 2022
  7. AISTATS
    On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
    Khang Le, Huy NguyenKhai Nguyen, and 2 more authors
    In Proceedings of The 25th International Conference on Artificial Intelligence and Statistics 28–30 mar 2022

2021

  1. Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
    Khai Nguyen, Son Nguyen, Nhat Ho, and 2 more authors
    In International Conference on Learning Representations 28–30 mar 2021
  2. Distributional Sliced-Wasserstein and Applications to Generative Modeling
    Khai NguyenNhat Ho, Tung Pham, and 1 more author
    In International Conference on Learning Representations

    (Spotlight)</h3>

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  3. Structured Dropout Variational Inference for Bayesian Neural Networks
    Son Nguyen, Duong Nguyen, Khai Nguyen, and 3 more authors
    Advances in Neural Information Processing Systems 28–30 mar 2021
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