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TrungTin Nguyen
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2020 – today
- 2024
- [c8]Huy Nguyen, TrungTin Nguyen, Khai Nguyen, Nhat Ho:
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts. AISTATS 2024: 2683-2691 - [c7]Huy Nguyen, Pedram Akbarian, TrungTin Nguyen, Nhat Ho:
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts. ICML 2024 - [c6]Duy Minh Ho 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. ICML 2024 - [c5]Jacob Westerhout, TrungTin Nguyen, Xin Guo, Hien Duy Nguyen:
On the Asymptotic Distribution of the Minimum Empirical Risk. ICML 2024 - [c4]Hien Duy Nguyen, TrungTin Nguyen, Florence Forbes:
Bayesian Likelihood Free Inference using Mixtures of Experts. IJCNN 2024: 1-8 - [i12]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 abs/2402.01975 (2024) - [i11]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 abs/2402.02526 (2024) - [i10]Mark Chiu Chong, Hien Duy Nguyen, TrungTin Nguyen:
Risk Bounds for Mixture Density Estimation on Compact Domains via the h-Lifted Kullback-Leibler Divergence. CoRR abs/2404.12586 (2024) - [i9]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 abs/2405.16148 (2024) - [i8]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:
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model. CoRR abs/2410.02615 (2024) - 2023
- [c3]TrungTin Nguyen
A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection. AI (2) 2023: 234-245 - [c2]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: 5754-5765 - [c1]Huy Nguyen, TrungTin Nguyen, Nhat Ho:
Demystifying Softmax Gating Function in Gaussian Mixture of Experts. NeurIPS 2023 - [i7]Huy Nguyen, TrungTin Nguyen, Nhat Ho:
Demystifying Softmax Gating in Gaussian Mixture of Experts. CoRR abs/2305.03288 (2023) - [i6]Huy Nguyen, TrungTin Nguyen, Khai Nguyen, Nhat Ho:
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts. CoRR abs/2305.07572 (2023) - [i5]Huy Nguyen, Pedram Akbarian, TrungTin Nguyen, Nhat Ho:
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts. CoRR abs/2310.14188 (2023) - [i4]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 abs/2312.07035 (2023) - 2022
- [j1]Florence Forbes
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors. Stat. Comput. 32(5): 85 (2022) - 2021
- [i3]TrungTin Nguyen
A non-asymptotic penalization criterion for model selection in mixture of experts models. CoRR abs/2104.02640 (2021) - [i2]TrungTin Nguyen
A non-asymptotic model selection in block-diagonal mixture of polynomial experts models. CoRR abs/2104.08959 (2021) - 2020
- [i1]TrungTin Nguyen
An l1-oracle inequality for the Lasso in mixture-of-experts regression models. CoRR abs/2009.10622 (2020)
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