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Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning.

Y. Lin, Q. Zhang, B. Gao, J. Tang, P. Yao, C. Li, S. Huang, Z. Liu, Y. Zhou, Y. Liu, W. Zhang, J. Zhu, H. Qian, and H. Wu. Nat. Mac. Intell., 5 (7): 714-723 (July 2023)

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Li Li

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Efficient Learning of Generative Models via Finite-Difference Score Matching.T. Pang, K. Xu, C. Li, Y. Song, S. Ermon, and J. Zhu. CoRR, (2020)Triple Generative Adversarial Networks.C. Li, K. Xu, J. Liu, J. Zhu, and B. Zhang. CoRR, (2019)CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model.Z. Wang, Y. Wang, Y. Chen, C. Xiang, S. Chen, D. Yu, C. Li, H. Su, and J. Zhu. CoRR, (2024)Probabilistic Neural-Symbolic Models With Inductive Posterior Constraints.K. Su, H. Su, C. Li, J. Zhu, and B. Zhang. IEEE Trans. Neural Networks Learn. Syst., 35 (2): 2667-2679 (February 2024)Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training.X. Xing, C. Wang, H. Zhou, Z. Hu, C. Li, D. Xu, and Q. Yu. CoRR, (2023)Learning Implicit Generative Models by Teaching Density Estimators.K. Xu, C. Du, C. Li, J. Zhu, and B. Zhang. ECML/PKDD (2), volume 12458 of Lecture Notes in Computer Science, page 239-255. Springer, (2020)Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.F. Bao, K. Xu, C. Li, L. Hong, J. Zhu, and B. Zhang. ICML, volume 139 of Proceedings of Machine Learning Research, page 651-661. PMLR, (2021)Revisiting Discriminative vs. Generative Classifiers: Theory and Implications.C. Zheng, G. Wu, F. Bao, Y. Cao, C. Li, and J. Zhu. ICML, volume 202 of Proceedings of Machine Learning Research, page 42420-42477. PMLR, (2023)Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.F. Bao, C. Li, J. Zhu, and B. Zhang. ICLR, OpenReview.net, (2022)Bi-level Score Matching for Learning Energy-based Latent Variable Models.F. Bao, C. Li, T. Xu, H. Su, J. Zhu, and B. Zhang. NeurIPS, (2020)

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Disambiguation of "Li, Chongxuan"

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Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning.

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, Chongxuan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning.

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Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

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Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning.