Nguyen, Khai

33 publications

CoRL 2025 DEQ-MPC : Deep Equilibrium Model Predictive Control Swaminathan Gurumurthy, Khai Nguyen, Arun L Bishop, J Zico Kolter, Zachary Manchester

ICML 2025 Lightspeed Geometric Dataset Distance via Sliced Optimal Transport Khai Nguyen, Hai Nguyen, Tuan Pham, Nhat Ho

TMLR 2025 Model Tensor Planning An Thai Le, Khai Nguyen, Minh Nhat Vu, Joao Carvalho, Jan Peters

ICLR 2025 Towards Marginal Fairness Sliced Wasserstein Barycenter Khai Nguyen, Hai Nguyen, Nhat Ho

NeurIPS 2025 Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning Manh Luong, Khai Nguyen, Dinh Phung, Gholamreza Haffari, Lizhen Qu

ICLR 2024 Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction Thanh Tung Le, Khai Nguyen, Shanlin Sun, Kun Han, Nhat Ho, Xiaohui Xie

NeurIPS 2024 Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions Khai Nguyen, Nhat Ho

CVPR 2024 Integrating Efficient Optimal Transport and Functional Maps for Unsupervised Shape Correspondence Learning Tung Le, Khai Nguyen, Shanlin Sun, Nhat Ho, Xiaohui Xie

ICMLW 2024 Marginal Fairness Sliced Wasserstein Barycenter Khai Nguyen, Hai Nguyen, Nhat Ho

AISTATS 2024 On Parameter Estimation in Deviated Gaussian Mixture of Experts Huy Nguyen, Khai Nguyen, Nhat Ho

ICLR 2024 Quasi-Monte Carlo for 3D Sliced Wasserstein Khai Nguyen, Nicola Bariletto, Nhat Ho

ICLR 2024 Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation Manh Luong, Khai Nguyen, Nhat Ho, Gholamreza Haffari, Dinh Phung, Lizhen Qu

ICLR 2024 Sliced Wasserstein Estimation with Control Variates Khai Nguyen, Nhat Ho

ICML 2024 Sliced Wasserstein with Random-Path Projecting Directions Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho

AISTATS 2024 Towards Convergence Rates for Parameter Estimation in Gaussian-Gated Mixture of Experts Huy Nguyen, TrungTin Nguyen, Khai Nguyen, Nhat Ho

NeurIPS 2023 Designing Robust Transformers Using Robust Kernel Density Estimation Xing Han, Tongzheng Ren, Tan Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho

NeurIPS 2023 Energy-Based Sliced Wasserstein Distance Khai Nguyen, Nhat Ho

ICMLW 2023 Fast Approximation of the Generalized Sliced-Wasserstein Distance Le Quang Dung, Huy Nguyen, Khai Nguyen, Nhat Ho

ICLR 2023 Hierarchical Sliced Wasserstein Distance Khai Nguyen, Tongzheng Ren, Huy Nguyen, Litu Rout, Tan Minh Nguyen, Nhat Ho

NeurIPS 2023 Markovian Sliced Wasserstein Distances: Beyond Independent Projections Khai Nguyen, Tongzheng Ren, Nhat Ho

NeurIPS 2023 Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models Dat Do, Huy Nguyen, Khai Nguyen, Nhat Ho

ICML 2023 Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction Khai Nguyen, Dang Nguyen, Nhat Ho

NeurIPSW 2023 Sliced Wasserstein Estimation with Control Variates Khai Nguyen, Nhat Ho

AISTATS 2022 On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity Khang Le, Huy Nguyen, Khai Nguyen, Tung Pham, Nhat Ho

NeurIPS 2022 Amortized Projection Optimization for Sliced Wasserstein Generative Models Khai Nguyen, Nhat Ho

NeurIPS 2022 FourierFormer: Transformer Meets Generalized Fourier Integral Theorem Tan Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley Osher, Nhat Ho

ICML 2022 Improving Mini-Batch Optimal Transport via Partial Transportation Khai Nguyen, Dang Nguyen, The-Anh Vu-Le, Tung Pham, Nhat Ho

NeurIPS 2022 Improving Transformer with an Admixture of Attention Heads Tan Nguyen, Tam Nguyen, Hai Do, Khai Nguyen, Vishwanath Saragadam, Minh Pham, Khuong Duy Nguyen, Nhat Ho, Stanley Osher

ICML 2022 On Transportation of Mini-Batches: A Hierarchical Approach Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho

NeurIPS 2022 Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution Khai Nguyen, Nhat Ho

ICLR 2021 Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui

ICLR 2021 Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui

NeurIPS 2021 Structured Dropout Variational Inference for Bayesian Neural Networks Son Nguyen, Duong Nguyen, Khai Nguyen, Khoat Than, Hung Bui, Nhat Ho