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Month: October 2015

Approximating functions with endpoint singularities

October 23, 2015November 14, 2015benadcock

It is possible to approximate analytic functions with endpoint singularities using nearly the same number of degrees of freedom as is needed for analytic functions. My new paper with Jesus-Martin Vaquero and Mark Richardson introduces a technique to do this.

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Recent Posts

  • Congratulations, Juan!
  • The gap between theory and practice in function approximation with deep neural networks
  • Deep neural networks are effective at learning high-dimensional Hilbert-valued functions from limited data
  • Compressive Imaging: Structure, Sampling, Learning
  • The instability phenomenon in deep learning for image reconstruction
  • Congratulations Yi!
  • Recent news post – optimal sampling for compressive imaging
  • Recent blog – compressive imaging

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