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02/03/2023
Numerical solutions to an inverse problem for a non-linear Helmholtz equation
In this work, we construct numerical solutions to an inverse problem of ...
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02/01/2023
Local transfer learning from one data space to another
A fundamental problem in manifold learning is to approximate a functiona...
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05/12/2021
A function approximation approach to the prediction of blood glucose levels
The problem of real time prediction of blood glucose (BG) levels based o...
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10/08/2020
A low discrepancy sequence on graphs
Many applications such as election forecasting, environmental monitoring...
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07/10/2019
Super-resolution meets machine learning: approximation of measures
The problem of super-resolution in general terms is to recuperate a fini...
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05/30/2019
Function approximation by deep networks
We show that deep networks are better than shallow networks at approxima...
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01/10/2019