Khai Nguyen

Affiliations

The University of Texas at Austin

papers

179

total citations

papers (15)

Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning

CVPR 2024arXiv

citations

Structured Dropout Variational Inference for Bayesian Neural Networks

NEURIPS 2021arXiv

citations

Markovian Sliced Wasserstein Distances: Beyond Independent Projections

NEURIPS 2023arXiv

citations

Designing Robust Transformers using Robust Kernel Density Estimation

NEURIPS 2023arXiv

citations

Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction

ICLR 2024arXiv

citations

Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models

NEURIPS 2023arXiv

citations

Lightspeed Geometric Dataset Distance via Sliced Optimal Transport

ICML 2025arXiv

citations

Towards Marginal Fairness Sliced Wasserstein Barycenter

ICLR 2025arXiv

citations

Improving Transformer with an Admixture of Attention Heads

NEURIPS 2022

citations

FourierFormer: Transformer Meets Generalized Fourier Integral Theorem

NEURIPS 2022

citations

Khai Nguyen

Affiliations

papers (15)

Energy-Based Sliced Wasserstein Distance

Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution

Quasi-Monte Carlo for 3D Sliced Wasserstein

Amortized Projection Optimization for Sliced Wasserstein Generative Models

Sliced Wasserstein with Random-Path Projecting Directions

Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning

Structured Dropout Variational Inference for Bayesian Neural Networks

Markovian Sliced Wasserstein Distances: Beyond Independent Projections

Designing Robust Transformers using Robust Kernel Density Estimation

Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction

Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models

Lightspeed Geometric Dataset Distance via Sliced Optimal Transport

Towards Marginal Fairness Sliced Wasserstein Barycenter

Improving Transformer with an Admixture of Attention Heads

FourierFormer: Transformer Meets Generalized Fourier Integral Theorem

papers (15)

Energy-Based Sliced Wasserstein Distance

Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution

Quasi-Monte Carlo for 3D Sliced Wasserstein

Amortized Projection Optimization for Sliced Wasserstein Generative Models

Sliced Wasserstein with Random-Path Projecting Directions

Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning

Structured Dropout Variational Inference for Bayesian Neural Networks

Markovian Sliced Wasserstein Distances: Beyond Independent Projections

Designing Robust Transformers using Robust Kernel Density Estimation

Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction

Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models

Lightspeed Geometric Dataset Distance via Sliced Optimal Transport

Towards Marginal Fairness Sliced Wasserstein Barycenter

Improving Transformer with an Admixture of Attention Heads

FourierFormer: Transformer Meets Generalized Fourier Integral Theorem