TrungTin Nguyen

According to our database, TrungTin Nguyen authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Tien Nguyen, TrungTin Nguyen, Nhat Ho, Pengtao Xie, Roger Wattenhofer, James Zhou, Daniel Sonntag, Mathias Niepert

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, Mathias Niepert

CoRR, 2024

Risk Bounds for Mixture Density Estimation on Compact Domains via the <i>h</i>-Lifted Kullback-Leibler Divergence.

Mark Chiu Chong, Hien Duy Nguyen, TrungTin Nguyen

CoRR, 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, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi, Nhat Ho

CoRR, 2024

Bayesian Likelihood Free Inference using Mixtures of Experts.

Hien Duy Nguyen, TrungTin Nguyen, Florence Forbes

Proceedings of the International Joint Conference on Neural Networks, 2024

On the Asymptotic Distribution of the Minimum Empirical Risk.

Jacob Westerhout, TrungTin Nguyen, Xin Guo, Hien Duy Nguyen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.

Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts.

Huy Nguyen, Pedram Akbarian, TrungTin Nguyen, Nhat Ho

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts.

Huy Nguyen, TrungTin Nguyen, Khai Nguyen, Nhat Ho

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

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, Steven C. H. Hoi

CoRR, 2023

Demystifying Softmax Gating in Gaussian Mixture of Experts.

Huy Nguyen, TrungTin Nguyen, Nhat Ho

CoRR, 2023

Demystifying Softmax Gating Function in Gaussian Mixture of Experts.

Huy Nguyen, TrungTin Nguyen, Nhat Ho

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Steven C. H. Hoi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors.

Florence Forbes, Hien Duy Nguyen, TrungTin Nguyen, Julyan Arbel

Stat. Comput., 2022

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

A non-asymptotic penalization criterion for model selection in mixture of experts models.

TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi, Florence Forbes

CoRR, 2021

2020

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