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Watch this 48-minute seminar presentation exploring how kernel methods can be used to simplify the solution of differential equations. Learn from Mr. Jonghyeon Lee from Caltech as he presents his research on applying kernel techniques to differential equation problems. Discover the mathematical foundations and practical applications of using kernels as a computational tool for solving complex differential equations more efficiently. Explore the theoretical framework that connects kernel methods with differential equation theory and understand how this approach can streamline computational processes. Gain insights into cutting-edge research at the intersection of machine learning techniques and classical mathematical analysis. The presentation is part of the "Representing, calibrating & leveraging prediction uncertainty from statistics to machine learning" event series at the Isaac Newton Institute for Mathematical Sciences.
