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Creators/Authors contains: "Zhou, M"

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  1. ; ; ; ( , IEEE)
    Free, publicly-accessible full text available August 28, 2025
  2. ; ; ; ; ( , IEEE)
    Free, publicly-accessible full text available August 28, 2025
  3. ; ; ; ; ; ; ( , IEEE)
    Free, publicly-accessible full text available January 22, 2025
  4. ; ; ; ; ; ( , IEEE)
    Accepted Manuscript Full Text Available
  5. ; ; ; ; ; ( , Proceedings of the International Society for the Learning Sciences Annual Meeting 2023)
    Accepted Manuscript Full Text Available
  6. ; ; ( , International Conference on Learning Representations)
    Mean-field limit has been successfully applied to neural networks, leading to many results in optimizing overparametrized networks. However, existing works often focus on two-layer networks and/or require large number of neurons. We give a new framework for extending the mean-field limit to multilayer network, and show that a polynomial-size three-layer network in our framework can learn the function constructed by Safran et al. (2019) – which is known to be not approximable by any two-layer networks 
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    Accepted Manuscript Full Text Available
  7. ; ; ; ( , International conference on machine learning)
    Accepted Manuscript Full Text Available
  8. ; ; ; ; ; ( , 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics)
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  9. ( , Design Automation Conference)
    Full Text Available 
  10. ; ; ; ; ; ; ( , International Conference on Learning Representations)
    Accepted Manuscript Full Text Available