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Conferences
Nhat Ho
35 papers at tracked venues · 32 at CORE A* · active 2024–2025
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Venues
ICML
×11
ICLR
×10
NeurIPS
×8
AISTATS
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AAAI
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CVPR
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ICCV
×1
Frequent coauthors
Huy Nguyen
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Khai Nguyen
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Duy Minh Ho Nguyen
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×2
Tuan Truong
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Fanqi Yan
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Minh Le
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Hien Dang
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Trang Nguyen
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Hoang Phan
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Nghiem Tuong Diep
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Yichen Xie
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Disha Makhija
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Papers
Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning
AAAI 2025
·
Trang Nguyen
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Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective
ICCV 2025
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Hoang Phan
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ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models
NeurIPS 2025
·
Duy M. H. Nguyen
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Improving Generalization with Flat Hilbert Bayesian Inference
ICML 2025
·
Tuan Truong
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Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
ICML 2025
·
Khai Nguyen
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On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts
NeurIPS 2025
·
Fanqi Yan
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On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation
ICML 2025
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Nghiem Tuong Diep
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RepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts
ICML 2025
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Tuan Truong
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Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
ICLR 2025
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Minh Le
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Statistical Advantages of Perturbing Cosine Router in Mixture of Experts
ICLR 2025
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Huy Nguyen
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Towards Marginal Fairness Sliced Wasserstein Barycenter
ICLR 2025
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Khai Nguyen
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Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts
AISTATS 2025
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Fanqi Yan
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X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios
ICLR 2025
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Yichen Xie
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A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings
NeurIPS 2024
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Disha Makhija
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A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
ICML 2024
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Huy Nguyen
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Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
NeurIPS 2024
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Nicola Bariletto
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Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
ICLR 2024
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Hien Dang
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Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction
ICLR 2024
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Thanh-Tung Le
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FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
NeurIPS 2024
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Xing Han
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Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
NeurIPS 2024
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Khai Nguyen
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Improving Computational Complexity in Statistical Models with Local Curvature Information
ICML 2024
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Pedram Akbarian
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Integrating Efficient Optimal Transport and Functional Maps for Unsupervised Shape Correspondence Learning
CVPR 2024
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Tung Le
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Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
ICML 2024
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Huy Nguyen
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Mixture of Experts Meets Prompt-Based Continual Learning
NeurIPS 2024
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Minh Le
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Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model
ICML 2024
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Hien Dang
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On Least Square Estimation in Softmax Gating Mixture of Experts
ICML 2024
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Huy Nguyen
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On Parameter Estimation in Deviated Gaussian Mixture of Experts
AISTATS 2024
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Huy Nguyen
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Quasi-Monte Carlo for 3D Sliced Wasserstein
ICLR 2024
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Khai Nguyen
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Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
ICLR 2024
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Manh Luong
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Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts
NeurIPS 2024
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Huy Nguyen
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Sliced Wasserstein Estimation with Control Variates
ICLR 2024
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Khai Nguyen
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Sliced Wasserstein with Random-Path Projecting Directions
ICML 2024
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Khai Nguyen
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Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts
ICLR 2024
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Huy Nguyen
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Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
ICML 2024
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Duy Minh Ho Nguyen
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Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
AISTATS 2024
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Huy Nguyen
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