The Center for Brains, Minds and Machines (CBMM) is a National Science Foundation funded Science and Technology Center on the interdisciplinary study of intelligence. This effort is a multi-institutional collaboration headquartered at the McGovern Institute for Brain Research at MIT, with Harvard University as a managing partner. Visit the CBMM website for more information.

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Recent Submissions

  • From Marr’s Vision to the Problem of Human Intelligence 

    Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2021-09-01)
  • The Effects of Image Distribution and Task on Adversarial Robustness 

    Kunhardt, Owen; Deza, Arturo; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2021-02-18)
    In this paper, we propose an adaptation to the area under the curve (AUC) metric to measure the adversarial robustness of a model over a particular ε-interval [ε_0, ε_1] (interval of adversarial perturbation strengths) ...
  • Cross-validation Stability of Deep Networks 

    Banburski, Andrzej; De La Torre, Fernanda; Plant, Nishka; Shastri, Ishana; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2021-02-09)
    Recent theoretical results show that gradient descent on deep neural networks under exponential loss functions locally maximizes classification margin, which is equivalent to minimizing the norm of the weight matrices under ...

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