Search Results - BUI, Thang D

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  1. 1
    LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing

    LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing by Huong, Truong Thu, Bac, Ta Phuong, Long, Dao M., Thang, Bui D., Binh, Nguyen T., Luong, Tran D., Phuc, Tran Kim

    Published in IEEE access
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  2. 2
    Cross-sectional study of sexual behaviour and knowledge about HIV among urban, rural, and minority residents in Viet Nam

    Cross-sectional study of sexual behaviour and knowledge about HIV among urban, rural, and minority residents in Viet Nam by BUI, Thang D, PHAM, Chi K, PHAM, Thang H, HOANG, Long T, NGUYEN, Thich V, VU, Thang Q, DETELS, Roger

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  3. 3
    Likelihood approximations via Gaussian approximate inference

    Likelihood approximations via Gaussian approximate inference by Bui, Thang D

    Published in arXiv.org
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  4. 4
    Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings

    Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings by Grewal, Yashvir S, Bonilla, Edwin V, Bui, Thang D

    Published in arXiv.org
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  5. 5
    Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights

    Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights by Karaletsos, Theofanis, Bui, Thang D

    Published in arXiv.org
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  6. 6
    Variational Auto-Regressive Gaussian Processes for Continual Learning

    Variational Auto-Regressive Gaussian Processes for Continual Learning by Kapoor, Sanyam, Karaletsos, Theofanis, Bui, Thang D

    Published in arXiv.org
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  7. 7
    Partitioned Variational Inference: A Framework for Probabilistic Federated Learning

    Partitioned Variational Inference: A Framework for Probabilistic Federated Learning by Ashman, Matthew, Bui, Thang D, Nguyen, Cuong V, Markou, Stratis, Weller, Adrian, Swaroop, Siddharth, Turner, Richard E

    Published in arXiv.org
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  8. 8
    Neural Graph Machines: Learning Neural Networks Using Graphs

    Neural Graph Machines: Learning Neural Networks Using Graphs by Bui, Thang D, Sujith Ravi, Ramavajjala, Vivek

    Published in arXiv.org
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  9. 9
    Streaming Sparse Gaussian Process Approximations

    Streaming Sparse Gaussian Process Approximations by Bui, Thang D, Nguyen, Cuong V, Turner, Richard E

    Published in arXiv.org
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  10. 10
    A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation

    A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation by Bui, Thang D, Yan, Josiah, Turner, Richard E

    Published in arXiv.org
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  11. 11
    Improving and Understanding Variational Continual Learning

    Improving and Understanding Variational Continual Learning by Swaroop, Siddharth, Nguyen, Cuong V, Bui, Thang D, Turner, Richard E

    Published in arXiv.org
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  12. 12
    LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing

    LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing by Truong, Thu Huong, Ta Phuong Bac, Long, Dao M, Thang, Bui D, Binh, Nguyen T, Luong, Tran D, Tran, Kim Phuc

    Published in arXiv.org
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  13. 13
    Partitioned Variational Inference: A unified framework encompassing federated and continual learning

    Partitioned Variational Inference: A unified framework encompassing federated and continual learning by Bui, Thang D, Nguyen, Cuong V, Swaroop, Siddharth, Turner, Richard E

    Published in arXiv.org
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  14. 14
    Variational Continual Learning

    Variational Continual Learning by Nguyen, Cuong V, Li, Yingzhen, Bui, Thang D, Turner, Richard E

    Published in arXiv.org
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  15. 15
    Deep Gaussian Processes for Regression using Approximate Expectation Propagation

    Deep Gaussian Processes for Regression using Approximate Expectation Propagation by Bui, Thang D, Hernández-Lobato, Daniel, Li, Yingzhen, José Miguel Hernández-Lobato, Turner, Richard E

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  16. 16
    Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation

    Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation by Bui, Thang D, José Miguel Hernández-Lobato, Li, Yingzhen, Hernández-Lobato, Daniel, Turner, Richard E

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  17. 17
    A micromechanical investigation for the effects of pore size and its distribution on geopolymer foam concrete under uniaxial compression

    A micromechanical investigation for the effects of pore size and its distribution on geopolymer foam concrete under uniaxial compression by Nguyen, Thang T., Bui, Ha H., Ngo, Tuan D., Nguyen, Giang D., Kreher, Markus U., Darve, Felix

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  18. 18
    Metamaterial-enhanced vibrational absorption spectroscopy for the detection of protein molecules

    Metamaterial-enhanced vibrational absorption spectroscopy for the detection of protein molecules by Bui, Tung S., Dao, Thang D., Dang, Luu H., Vu, Lam D., Ohi, Akihiko, Nabatame, Toshihide, Lee, YoungPak, Nagao, Tadaaki, Hoang, Chung V.

    Published in Scientific reports
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  19. 19
    A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing-Part I: Fundamentals and Enabling Technologies

    A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing-Part I: Fundamentals and Enabling Technologies by Nguyen, Cong T., Saputra, Yuris Mulya, Huynh, Nguyen Van, Nguyen, Ngoc-Tan, Khoa, Tran Viet, Tuan, Bui Minh, Nguyen, Diep N., Hoang, Dinh Thai, Vu, Thang X., Dutkiewicz, Eryk, Chatzinotas, Symeon, Ottersten, Bjorn

    Published in IEEE access
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  20. 20
    Experimental and numerical investigation of influence of air-voids on the compressive behaviour of foamed concrete

    Experimental and numerical investigation of influence of air-voids on the compressive behaviour of foamed concrete by Nguyen, Thang T., Bui, Ha H., Ngo, Tuan D., Nguyen, Giang D.

    Published in Materials & design
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