← Authors

Khai Nguyen

29 papers · 2021–2025 · 7 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (9) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8) 🀝 Dynamic Duo (27) πŸ‘‘ Triple Crown πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (29) πŸ—ƒοΈ Keyword Collector (96) ⚑ Prolific Year (7)

Conferences

NIPS (10) ICLR (8) ICML (5) AISTATS (3) CORL (1) CVPR (1) EMNLP (1)

Top co-authors

nhαΊ­t Hα»“ (27) Huy Nguyen (5) Tung Pham (5) Hung Bui (4) Tongzheng Ren (3) Dang Nguyen (3) Tan Nguyen (3) Stanley Osher (2) Tam Nguyen (2) Xiaohui Xie (2)

Research topics

Statistics (1)

Keywords

optimal transport (7) sliced wasserstein distance (6) maximum likelihood estimation (3) parameter estimation (3) gradient flow (3) entropic regularization (2) transformer architecture (2) deep generative model (2) multi-head attention (2) sliced wasserstein (2) domain adaptation (2) probability measure (2) mixture of expert (2) mini batch (2) machine translation (1) attention mechanism (1) self-attention mechanism (1) shape correspondence (1) image generation (1) point cloud (1)

Papers

DEQ-MPC : Deep Equilibrium Model Predictive Control CORL 2025
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport ICML 2025
Towards Marginal Fairness Sliced Wasserstein Barycenter ICLR 2025
Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning CVPR 2024
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions NIPS 2024
On Parameter Estimation in Deviated Gaussian Mixture of Experts AISTATS 2024
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts AISTATS 2024
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction ICLR 2024
Quasi-Monte Carlo for 3D Sliced Wasserstein ICLR 2024
Sliced Wasserstein Estimation with Control Variates ICLR 2024
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation ICLR 2024
Sliced Wasserstein with Random-Path Projecting Directions ICML 2024
Hierarchical Sliced Wasserstein Distance ICLR 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction ICML 2023
Designing Robust Transformers using Robust Kernel Density Estimation NIPS 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections NIPS 2023
Energy-Based Sliced Wasserstein Distance NIPS 2023
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models NIPS 2023
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity AISTATS 2022
Improving Transformer with an Admixture of Attention Heads NIPS 2022
On Transportation of Mini-batches: A Hierarchical Approach ICML 2022
Improving Mini-batch Optimal Transport via Partial Transportation ICML 2022
Amortized Projection Optimization for Sliced Wasserstein Generative Models NIPS 2022
FourierFormer: Transformer Meets Generalized Fourier Integral Theorem NIPS 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution NIPS 2022
Neural Re-rankers for Evidence Retrieval in the FEVEROUS Task EMNLP 2021
Structured Dropout Variational Inference for Bayesian Neural Networks NIPS 2021
Distributional Sliced-Wasserstein and Applications to Generative Modeling ICLR 2021
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein ICLR 2021