Recent Submissions

  • From Associative Memories to Deep Networks 

    Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2021-01-12)
    About fifty years ago, holography was proposed as a model of associative memory. Associative memories with similar properties were soon after implemented as simple networks of threshold neurons by Willshaw and Longuet-Higgins. ...
  • Dreaming with ARC 

    Banburski, Andrzej; Ghandi, Anshula; Alford, Simon; Dandekar, Sylee; Chin, Peter; e.a. (Center for Brains, Minds and Machines (CBMM), 2020-11-23)
    Current machine learning algorithms are highly specialized to whatever it is they are meant to do –– e.g. playing chess, picking up objects, or object recognition. How can we extend this to a system that could solve a ...
  • Implicit dynamic regularization in deep networks 

    Poggio, Tomaso; Liao, Qianli (Center for Brains, Minds and Machines (CBMM), 2020-08-17)
    Square loss has been observed to perform well in classification tasks, at least as well as crossentropy. However, a theoretical justification is lacking. Here we develop a theoretical analysis for the square loss that also ...

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