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TrungTin Nguyen
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 16
Top Topics
Model Selection
Top Venues
CoRR
AISTATS
EMNLP
AI (2)
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Publications
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Huy Nguyen
,
TrungTin Nguyen
,
Khai Nguyen
,
Nhat Ho
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts.
AISTATS
(2024)
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
CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition.
CoRR
(2024)
Duy M. H. Nguyen
,
Nina Lukashina
,
Tai Nguyen
,
An T. Le
,
TrungTin Nguyen
,
Nhat Ho
,
Jan Peters
,
Daniel Sonntag
,
Viktor Zaverkin
,
Mathias Niepert
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.
CoRR
(2024)
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
Accelerating Transformers with Spectrum-Preserving Token Merging.
CoRR
(2024)
Mark Chiu Chong
,
Hien Duy Nguyen
,
TrungTin Nguyen
-Lifted Kullback-Leibler Divergence.
CoRR
(2024)
Huy Nguyen
,
TrungTin Nguyen
,
Nhat Ho
Demystifying Softmax Gating in Gaussian Mixture of Experts.
CoRR
(2023)
Huy Nguyen
,
TrungTin Nguyen
,
Nhat Ho
Demystifying Softmax Gating Function in Gaussian Mixture of Experts.
NeurIPS
(2023)
Huy Nguyen
,
Pedram Akbarian
,
TrungTin Nguyen
,
Nhat Ho
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts.
CoRR
(2023)
TrungTin Nguyen
,
Dung Ngoc Nguyen
,
Hien Duy Nguyen
,
Faicel Chamroukhi
A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection.
AI (2)
(2023)
Giang Do
,
Khiem Le
,
Quang Pham
,
TrungTin Nguyen
,
Thanh-Nam Doan
,
Bint T. Nguyen
,
Chenghao Liu
,
Savitha Ramasamy
,
Xiaoli Li
,
Steven C. H. Hoi
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.
CoRR
(2023)
Truong Do
,
Le Khiem
,
Quang Pham
,
TrungTin Nguyen
,
Thanh-Nam Doan
,
Binh Nguyen
,
Chenghao Liu
,
Savitha Ramasamy
,
Xiaoli Li
,
Steven C. H. Hoi
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.
EMNLP
(2023)
Huy Nguyen
,
TrungTin Nguyen
,
Khai Nguyen
,
Nhat Ho
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts.
CoRR
(2023)
Florence Forbes
,
Hien Duy Nguyen
,
TrungTin Nguyen
,
Julyan Arbel
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors.
Stat. Comput.
32 (5) (2022)
TrungTin Nguyen
,
Faicel Chamroukhi
,
Hien Duy Nguyen
,
Florence Forbes
A non-asymptotic model selection in block-diagonal mixture of polynomial experts models.
CoRR
(2021)
TrungTin Nguyen
,
Hien Duy Nguyen
,
Faicel Chamroukhi
,
Florence Forbes
A non-asymptotic penalization criterion for model selection in mixture of experts models.
CoRR
(2021)
TrungTin Nguyen
,
Hien Duy Nguyen
,
Faicel Chamroukhi
,
Geoffrey J. McLachlan
-oracle inequality for the Lasso in mixture-of-experts regression models.
CoRR
(2020)