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孟 德宇
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孟 德宇
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Our recent work reveals the intrinsic uncertainty principle underlying general neural networks - 孟徳宇的个人主页空间 - 孟 德宇

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Our recent work reveals the intrinsic uncertainty principle underlying general neural networks
发布者: 孟德宇 | 2024-04-22 | 17309

Jun-jie Zhang, Deyu Meng. Quantum-inspired analysis of neural network vulnerabilities: The role of conjugate variables in system attacks. National Science Review, nwae141, 2014. [supplementary file][report]

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  • 2025

    09-15

    Our work on foundation model for HSI generation is accepted by TPAMI.

  • 2025

    08-10

    Our research on Efficient Arbitrary-Scale Image Super-Resolution is accepted by TMM.

  • 2025

    08-06

    Our recent work on Arbitrary-scale Image Super-Resolution is accepted by TPAMI

  • 2024

    12-30

    The paper of NeurTV (using INR to ameliorate the conventional TV) is accepted by SIAM IS

  • 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.

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