This Project Grant award from the National Science Foundation Division of Mathematical Sciences provides $155,046 to the University of Massachusetts Amherst under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) from September 2021 through August 2023.
The funding supports applied research in the areas of geometry and harmonic analysis to develop new regularization techniques for deep learning models. By drawing from pure mathematics disciplines, the grantee aims to improve machine learning algorithms and advance computational methods with theoretical foundations. The award capitalizes on the awardee's expertise in these fields to both further scientific understanding and enhance data science tools with a more rigorous analytical framework. As the parent organization, the University of Massachusetts will oversee delivery of the research products and ensure the grant's services are performed as intended to strengthen the nation's data analytics capabilities.