Tensor and Bayesian Framework for Machine Learning

The FASTMath SciDAC Institute develops and deploys scalable mathematical algorithms and software tools for reliable simulation of complex physical phenomena and collaborates with application scientists to ensure the usefulness and applicability of FASTMath technologies. Our work focuses on the development of functional tensor network surrogates to address challenges related to sparse training data, nonlinear models, and high-dimensionality.