An l1-oracle inequality for the Lasso in mixture-of-experts regression models. - TrungTin Nguyen; Hien Duy Nguyen; Faicel Chamroukhi; Geoffrey J. McLachlan (CoRR, 2020)

A non-asymptotic penalization criterion for model selection in mixture of experts models. - TrungTin Nguyen; Hien Duy Nguyen; Faicel Chamroukhi; Florence Forbes (CoRR, 2021)

A non-asymptotic model selection in block-diagonal mixture of polynomial experts models. - TrungTin Nguyen; Faicel Chamroukhi; Hien Duy Nguyen; Florence Forbes (CoRR, 2021)

Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors. - Florence Forbes; Hien Duy Nguyen; TrungTin Nguyen; Julyan Arbel (Stat. Comput., 2022)

A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection. - TrungTin Nguyen; Dung Ngoc Nguyen; Hien Duy Nguyen; Faicel Chamroukhi (AI (2), 2023)

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. - Truong Do; Le Khiem; Quang Pham; TrungTin Nguyen; Thanh-Nam Doan; Binh Nguyen; Chenghao Liu; Savitha Ramasamy; Xiaoli Li 001; Steven C. H. Hoi (EMNLP, 2023)

Demystifying Softmax Gating Function in Gaussian Mixture of Experts. - Huy Nguyen; TrungTin Nguyen; Nhat Ho (NeurIPS, 2023)

Demystifying Softmax Gating in Gaussian Mixture of Experts. - Huy Nguyen; TrungTin Nguyen; Nhat Ho (CoRR, 2023)

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. - Giang Do; Khiem Le; Quang Pham; TrungTin Nguyen; Thanh-Nam Doan; Bint T. Nguyen; Chenghao Liu; Savitha Ramasamy; Xiaoli Li 001; Steven C. H. Hoi (CoRR, 2023)

Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts. - Huy Nguyen; TrungTin Nguyen; Khai Nguyen; Nhat Ho (AISTATS, 2024)

A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts. - Huy Nguyen; Pedram Akbarian; TrungTin Nguyen; Nhat Ho (ICML, 2024)

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. - Duy Minh Ho Nguyen; Nina Lukashina; Tai Nguyen 008; An T. Le 001; TrungTin Nguyen; Nhat Ho; Jan Peters 001; Daniel Sonntag; Viktor Zaverkin; Mathias Niepert (ICML, 2024)

On the Asymptotic Distribution of the Minimum Empirical Risk. - Jacob Westerhout; TrungTin Nguyen; Xin Guo; Hien Duy Nguyen (ICML, 2024)

Bayesian Likelihood Free Inference using Mixtures of Experts. - Hien Duy Nguyen; TrungTin Nguyen; Florence Forbes (IJCNN, 2024)

Accelerating Transformers with Spectrum-Preserving Token Merging. - Chau Tran; Duy M. H. Nguyen; Manh-Duy Nguyen; TrungTin Nguyen; Ngan Le; Pengtao Xie; Daniel Sonntag; James Y. Zou; Binh Nguyen; Mathias Niepert (NeurIPS, 2024)

CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition. - Quang Pham; Giang Do; Huy Nguyen; TrungTin Nguyen; Chenghao Liu; Mina Sartipi; Binh T. Nguyen 001; Savitha Ramasamy; Xiaoli Li 001; Steven C. H. Hoi; Nhat Ho (CoRR, 2024)

Risk Bounds for Mixture Density Estimation on Compact Domains via the h-Lifted Kullback-Leibler Divergence. - Mark Chiu Chong; Hien Duy Nguyen; TrungTin Nguyen (CoRR, 2024)

Accelerating Transformers with Spectrum-Preserving Token Merging. - Hoai-Chau Tran; Duy M. H. Nguyen; Duy M. Nguyen; TrungTin Nguyen; Ngan Le; Pengtao Xie; Daniel Sonntag; James Y. Zou; Binh T. Nguyen 001; Mathias Niepert (CoRR, 2024)

LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model. - Duy M. H. Nguyen; Nghiem T. Diep; Trung Q. Nguyen; Hoang-Bao Le; Tai Nguyen 008; Tien Nguyen; TrungTin Nguyen; Nhat Ho; Pengtao Xie; Roger Wattenhofer; James Zhou; Daniel Sonntag; et al. (CoRR, 2024)

Risk Bounds for Mixture Density Estimation on Compact Domains via the h-Lifted Kullback-Leibler Divergence. - Mark Chiu Chong; Hien Duy Nguyen; TrungTin Nguyen (Trans. Mach. Learn. Res., 2024)

Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures. - Tuan Thai; TrungTin Nguyen; Dat Do; Nhat Ho; Christopher Drovandi (CoRR, 2025)

A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random. - Binh H. Ho; Long Nguyen Chi; TrungTin Nguyen; Binh T. Nguyen; Van Ha Hoang; Christopher Drovandi (CoRR, 2025)