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Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks

S. Lan, S. Li, and B. Shahbaba. (2021)cite arxiv:2101.03906.

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Li Li

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Novel Local Coding Algorithm for Finger Multimodal Feature Description and Recognition.S. Li, H. Zhang, Y. Shi, and J. Yang. Sensors, 19 (9): 2213 (2019)Local discriminant coding based convolutional feature representation for multimodal finger recognition.S. Li, B. Zhang, S. Zhao, and J. Yang. Inf. Sci., (2021)Joint Multiview Feature Learning for Hand-Print Recognition.L. Fei, B. Zhang, S. Teng, Z. Guo, S. Li, and W. Jia. IEEE Trans. Instrum. Meas., 69 (12): 9743-9755 (2020)Towards Fast and Robust Real Image Denoising With Attentive Neural Network and PID Controller.R. Ma, S. Li, B. Zhang, and Z. Li. IEEE Trans. Multim., (2022)Clustering Over Multiple Evolving Data Streams of the Traffic Cyber-Physical Systems.M. Cui, H. Liu, W. Liu, and S. Li. Inf. Technol. Control., 48 (1): 18-33 (2019)Hierarchical Classification of Urban ALS Data by Using Geometry and Intensity Information.X. Liu, Y. Chen, S. Li, L. Cheng, and M. Li. Sensors, 19 (20): 4583 (2019)Meta PID Attention Network for Flexible and Efficient Real-World Noisy Image Denoising.R. Ma, S. Li, B. Zhang, and H. Hu. IEEE Trans. Image Process., (2022)Row-sparsity Binary Feature Learning for Open-set Palmprint Recognition.S. Li, R. Ma, J. Zhou, and B. Zhang. IJCB, page 1-8. IEEE, (2022)An Adaptive Discriminant and Sparsity Feature Descriptor for Finger Vein Recognition.S. Li, and B. Zhang. ICASSP, page 2140-2144. IEEE, (2021)Generative Adaptive Convolutions for Real-World Noisy Image Denoising.R. Ma, S. Li, B. Zhang, and Z. Li. AAAI, page 1935-1943. AAAI Press, (2022)

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Disambiguation of "Li, Shuyi"

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Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Li, Shuyi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

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Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks