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Khai Nguyen
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Year
Distributional Sliced-Wasserstein and Applications to Generative Modeling
K Nguyen, N Ho, T Pham, H Bui
International Conference on Learning Representations (ICLR 2021), 2021
992021
Improving Mini-batch Optimal Transport via Partial Transportation
K Nguyen, D Nguyen, T Pham, N Ho
International Conference on Machine Learning (ICML 2022), 2022
312022
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
K Nguyen, S Nguyen, N Ho, T Pham, H Bui
International Conference on Learning Representations (ICLR 2021), 2021
302021
Fourierformer: Transformer meets generalized Fourier integral theorem
T Nguyen, M Pham, T Nguyen, K Nguyen, SJ Osher, N Ho
Advances in Neural Information Processing Systems (NeurIPS 2022), 2022
26*2022
Hierarchical Sliced Wasserstein Distance
K Nguyen, T Ren, H Nguyen, L Rout, T Nguyen, N Ho
International Conference on Learning Representations (ICLR 2023), 2023
252023
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution
K Nguyen, N Ho
Advances in Neural Information Processing Systems (NeurIPS 2022), 2022
232022
Amortized Projection Optimization for Sliced Wasserstein Generative Models
K Nguyen, N Ho
Advances in Neural Information Processing Systems (NeurIPS 2022), 2022
212022
On Transportation of Mini-batches: A Hierarchical Approach
K Nguyen, D Nguyen, Q Nguyen, T Pham, H Bui, D Phung, T Le, N Ho
International Conference on Machine Learning (ICML 2022), 2022
162022
Improving transformer with an admixture of attention heads
TM Nguyen, TM Nguyen, HN Do, K Nguyen, V Saragadam, M Pham, ...
Advances in Neural Information Processing Systems (NeurIPS 2022), 2022
152022
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
K Nguyen, D Nguyen, N Ho
International Conference on Machine Learning (ICML 2023), 2023
132023
Energy-Based Sliced Wasserstein Distance
K Nguyen, N Ho
Advances in Neural Information Processing Systems (NeurIPS 2023), 2023
122023
Markovian sliced Wasserstein distances: Beyond independent projections
K Nguyen, T Ren, N Ho
Advances in Neural Information Processing Systems (NeurIPS 2023), 2023
82023
Designing Robust Transformers using Robust Kernel Density Estimation
X Han, T Ren, TM Nguyen, K Nguyen, J Ghosh, N Ho
Advances in Neural Information Processing Systems (NeurIPS 2023), 2023
8*2023
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
K Le, H Nguyen, K Nguyen, T Pham, N Ho
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2022
82022
Structured Dropout Variational Inference for Bayesian Neural Networks
S Nguyen, D Nguyen, K Nguyen, N Ho, K Than, H Bui
Advances in Neural Information Processing Systems (NeurIPS 2021), 2021
8*2021
On cross-layer alignment for model fusion of heterogeneous neural networks
D Nguyen, T Nguyen, K Nguyen, D Phung, H Bui, N Ho
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
7*2023
Sliced Wasserstein Estimation with Control Variates
K Nguyen, N Ho
International Conference on Learning Representations (ICLR 2024), 2024
6*2024
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
H Nguyen, TT Nguyen, K Nguyen, N Ho
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2024
62024
Quasi-Monte Carlo for 3D Sliced Wasserstein
K Nguyen, N Bariletto, N Ho
International Conference on Learning Representations (ICLR 2024), 2024
42024
Sliced Wasserstein with random-path projecting directions
K Nguyen, S Zhang, T Le, N Ho
International Conference on Machine Learning (ICML 2023), 2024
32024
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Articles 1–20