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Kaixuan Huang

3 أوراق في مجموعة PaperMetrix

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أوراق هذا المؤلف

  1. Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? -- A Neural Tangent Kernel Perspective

    2020 · arXiv (Cornell University)

    Deep residual networks (ResNets) have demonstrated better generalization performance than deep feedforward networks (FFNets). However, the theory behind such a phenomenon is still largely unknown. This paper studies this fundamental problem in deep learning from …

  2. Observation of critical phase transition in a generalized Aubry-André-Harper model on a superconducting quantum processor with tunable couplers

    2022 · arXiv (Cornell University)

    Quantum simulation enables study of many-body systems in non-equilibrium by mapping to a controllable quantum system, providing a new tool for computational intractable problems. Here, using a programmable quantum processor with a chain of 10 …

  3. Visual Adversarial Examples Jailbreak Aligned Large Language Models

    2023 · arXiv (Cornell University)

    Recently, there has been a surge of interest in integrating vision into Large Language Models (LLMs), exemplified by Visual Language Models (VLMs) such as Flamingo and GPT-4. This paper sheds light on the security and …