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Our VINet method designed for solving statistical inverse problems of PDEs is accepted by JMLR - 孟徳宇的个人主页空间 - 孟 德宇

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Our VINet method designed for solving statistical inverse problems of PDEs is accepted by JMLR
发布者: 孟德宇 | 2023-05-30 | 34004

Junxiong Jia, Yanni Wu, Peijun Li, Deyu Meng. Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations. Journal of Machine Learning Research, 24:1-60, 2023.

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  • 2024

    06-03

    Our paper has been selected as an outstanding paper honorable mention in ICLR 2024.

  • 2024

    04-30

    The code of our new RER method designed for continual learning is released. Welcome to use.

  • 2024

    04-22

    Our recent work reveals the intrinsic uncertainty principle underlying general neural networks

  • 2024

    03-24

    The code of our proposed VIRNet for blind image restoration is released. Welcome to use.

  • 2024

    03-24

    Our work on exploring the insight of proximal net in deep unfolding approach is accepted by TPAMI.

  • 2024

    02-06

    Our proposed new deep variational network on blind IR tasks is accepted by TPAMI.

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