Yuying Liu is a Ph.D. candidate in the Applied Mathematics department at the University of Washington, under the supervision of Professor Nathan Kutz and Steve Brunton. Prior to his Ph.D., he received a master’s degree in Computer Science from Georgia Institute of Technology and a bachelor’s degree in mathematics from Nankai University.
Deep Learning of Hierarchical Multiscale Differential Equation Time Steppers
This video by Yuying Liu introduces a new deep learning architecture to accurately and efficiently integrate multiscale differential equations forward in time. This approach is benchmarked on several illustrative dynamical systems. Check out the paper on arXiv.