TrungTin Nguyen

29 papers A* 6A 1B 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fast Model Selection and Stable Optimization for Softmax-Gated Multinomial-Logistic Mixture of Experts Models.
CoRR
TrungKhang Tran, TrungTin Nguyen, Md. Abul Bashar, Nhat Ho, Richi Nayak, Christopher C. Drovandi
2026 J jnl
Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts.
CoRR
TrungKhang Tran, TrungTin Nguyen, Gersende Fort, Tung Doan, Hien Duy Nguyen, Binh T. Nguyen, Florence Forbes, Christopher C. Drovandi
2026 J jnl
StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models.
CoRR
Duy M. H. Nguyen, Tuan A. Tran, Duong Nguyen, Siwei Xie, Trung Q. Nguyen, Mai T. N. Truong, Daniel Palenicek, An T. Le, Michael Barz, TrungTin Nguyen, Tuan Dam, Ngan Le, Minh Vu, Khoa D. Doan, Ngo Anh Vien, Pengtao Xie, James Zou, Daniel Sonntag, Jan Peters, Mathias Niepert
2025 J jnl
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random.
CoRR
Binh H. Ho, Long Nguyen Chi, TrungTin Nguyen, Binh T. Nguyen, Van Ha Hoang, Christopher C. Drovandi
2025 J jnl
Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency without Model Sweeps.
CoRR
Do Tien Hai, Trung Nguyen Mai, TrungTin Nguyen, Nhat Ho, Binh T. Nguyen, Christopher C. Drovandi
2025 J jnl
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures.
CoRR
Tuan Thai, TrungTin Nguyen, Dat Do, Nhat Ho, Christopher C. Drovandi
2024 A* conf
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts.
ICML
Huy Nguyen, Pedram Akbarian, TrungTin Nguyen, Nhat Ho
2024 A* conf
Accelerating Transformers with Spectrum-Preserving Token Merging.
NeurIPS
Chau Tran, Duy M. H. Nguyen, Manh-Duy Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh Nguyen, Mathias Niepert
2024 J jnl
Accelerating Transformers with Spectrum-Preserving Token Merging.
CoRR
Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh T. Nguyen, Mathias Niepert
2024 B conf
Bayesian Likelihood Free Inference using Mixtures of Experts.
IJCNN
Hien Duy Nguyen, TrungTin Nguyen, Florence Forbes
2024 J jnl
CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition.
CoRR
Quang Pham, Giang Do, Huy Nguyen, TrungTin Nguyen, Chenghao Liu, Mina Sartipi, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi, Nhat Ho
2024 J jnl
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model.
CoRR
Duy M. H. Nguyen, Nghiem Tuong Diep, Trung Q. Nguyen, Hoang-Bao Le, Tai Nguyen, Tien Nguyen, TrungTin Nguyen, Nhat Ho, Pengtao Xie, Roger Wattenhofer, James Zhou, Daniel Sonntag, Mathias Niepert
2024 A* conf
On the Asymptotic Distribution of the Minimum Empirical Risk.
ICML
Jacob Westerhout, TrungTin Nguyen, Xin Guo, Hien Duy Nguyen
2024 J jnl
Risk Bounds for Mixture Density Estimation on Compact Domains via the
CoRR
Mark Chiu Chong, Hien Duy Nguyen, TrungTin Nguyen
2024 J jnl
Risk Bounds for Mixture Density Estimation on Compact Domains via the h-Lifted Kullback-Leibler Divergence.
Trans. Mach. Learn. Res.
Mark Chiu Chong, Hien Duy Nguyen, TrungTin Nguyen
2024 A* conf
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.
ICML
Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert
2024 J jnl
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.
CoRR
Duy M. H. Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert
2024 A conf
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts.
AISTATS
Huy Nguyen, TrungTin Nguyen, Khai Nguyen, Nhat Ho
2023 J jnl
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts.
CoRR
Huy Nguyen, Pedram Akbarian, TrungTin Nguyen, Nhat Ho
2023 — conf
A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection.
AI (2)
TrungTin Nguyen, Dung Ngoc Nguyen, Hien Duy Nguyen, Faicel Chamroukhi
2023 A* conf
Demystifying Softmax Gating Function in Gaussian Mixture of Experts.
NeurIPS
Huy Nguyen, TrungTin Nguyen, Nhat Ho
2023 J jnl
Demystifying Softmax Gating in Gaussian Mixture of Experts.
CoRR
Huy Nguyen, TrungTin Nguyen, Nhat Ho
2023 A* conf
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.
EMNLP
Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi
2023 J jnl
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.
CoRR
Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi
2023 J jnl
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts.
CoRR
Huy Nguyen, TrungTin Nguyen, Khai Nguyen, Nhat Ho
2022 J jnl
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors.
Stat. Comput.
Florence Forbes, Hien Duy Nguyen, TrungTin Nguyen, Julyan Arbel
2021 J jnl
A non-asymptotic model selection in block-diagonal mixture of polynomial experts models.
CoRR
TrungTin Nguyen, Faicel Chamroukhi, Hien Duy Nguyen, Florence Forbes
2021 J jnl
A non-asymptotic penalization criterion for model selection in mixture of experts models.
CoRR
TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi, Florence Forbes
2020 J jnl
An l
CoRR
TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi, Geoffrey J. McLachlan