research
          
      
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      07/28/2023
    How regularization affects the geometry of loss functions
What neural networks learn depends fundamentally on the geometry of the ...
          
            research
          
      
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      05/08/2020
    The critical locus of overparameterized neural networks
Many aspects of the geometry of loss functions in deep learning remain m...
          
            research
          
      
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      05/06/2020
    A comparison of group testing architectures for COVID-19 testing
An important component of every country's COVID-19 response is fast and ...
          
            research
          
      
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      09/14/2018
    Secondary gradient descent in higher codimension
In this paper, we analyze discrete gradient descent and ϵ-noisy gradient...
          
            research
          
      
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      08/14/2018
    Discrete gradient descent differs qualitatively from gradient flow
We consider gradient descent on functions of the form L_1 = |f| and L_2 ...
          
            research
          
      
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      04/26/2018
     
             
  
  
     
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