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Wenlong Lyu

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Efficient Robust Bayesian Optimization for Arbitrary Uncertain Inputs

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Nov 03, 2023
Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen

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Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets

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Aug 09, 2023
Wenlong Lyu, Shoubo Hu, Jie Chuai, Zhitang Chen

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Exploring Effective Mask Sampling Modeling for Neural Image Compression

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Jun 09, 2023
Lin Liu, Mingming Zhao, Shanxin Yuan, Wenlong Lyu, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian

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Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization

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Jan 30, 2023
Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao

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High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning

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Jun 16, 2021
Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar

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HEBO: Heteroscedastic Evolutionary Bayesian Optimisation

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Dec 07, 2020
Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Hao Jianye, Jun Wang, Haitham Bou Ammar

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Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network

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Dec 01, 2019
Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng

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