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Certified and fast computations with shallow covariance kernels
Many techniques for data science and uncertainty quantification demand efficient tools to handle Gaussian random fields, which are defined in terms of their mean functions and covariance operators.
Learning heat diffusion graphs
Effective information analysis generally boils down to properly identifying the structure or geometry of the data, which is often represented by a graph.
Accelerated filtering on graphs using Lanczos method
Signal-processing on graphs has developed into a very active field of research during the last decade.
Numerical Analysis
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