Khai Nguyen
29 papers · 2021–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (50) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π¬ Deep Specialist (16)
π¬
Deep Specialist
(16)
π
Keyword Champion
(4)
π
Triple Crown
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(135)
Top co-authors
Research topics
Machine Learning
(27)
Optimization & Theory Β· Machine Learning
(24)
Deep Learning
(14)
Mathematics & Optimization
(12)
Core Methods
(12)
Optimization
(9)
Models
(8)
Mathematics
(6)
Learning Types
(5)
Computer Vision
(4)
Application Areas
(4)
Architectures
(4)
Artificial Intelligence
(3)
Analysis
(3)
Optimization & Theory Β· Deep Learning
(3)
Keywords
optimal transport
(14)
sliced wasserstein distance
(10)
sliced wasserstein
(4)
probability measure
(4)
gradient flow
(4)
point cloud
(3)
parameter estimation
(3)
maximum likelihood estimation
(3)
mini batch
(2)
multi-head attention
(2)
transformer architecture
(2)
image generation
(2)
domain adaptation
(2)
projection direction
(2)
entropic regularization
(2)
mixture of expert
(2)
wasserstein distance
(2)
deep generative model
(2)
non-rigid matching
(1)
sequence modeling
(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
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction
ICLR 2024
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
NeurIPS 2024
Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
CVPR 2024
On Parameter Estimation in Deviated Gaussian Mixture of Experts
AISTATS 2024
Quasi-Monte Carlo for 3D Sliced Wasserstein
ICLR 2024
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
ICLR 2024
Sliced Wasserstein Estimation with Control Variates
ICLR 2024
Sliced Wasserstein with Random-Path Projecting Directions
ICML 2024
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
AISTATS 2024
Designing Robust Transformers using Robust Kernel Density Estimation
NeurIPS 2023
Energy-Based Sliced Wasserstein Distance
NeurIPS 2023
Hierarchical Sliced Wasserstein Distance
ICLR 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections
NeurIPS 2023
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
NeurIPS 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
ICML 2023
Amortized Projection Optimization for Sliced Wasserstein Generative Models
NeurIPS 2022
FourierFormer: Transformer Meets Generalized Fourier Integral Theorem
NeurIPS 2022
Improving Mini-batch Optimal Transport via Partial Transportation
ICML 2022
Improving Transformer with an Admixture of Attention Heads
NeurIPS 2022
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
AISTATS 2022
On Transportation of Mini-batches: A Hierarchical Approach
ICML 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution
NeurIPS 2022
Distributional Sliced-Wasserstein and Applications to Generative Modeling
ICLR 2021
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
ICLR 2021
Neural Re-rankers for Evidence Retrieval in the FEVEROUS Task
EMNLP 2021
Structured Dropout Variational Inference for Bayesian Neural Networks
NeurIPS 2021