The Manifolds for Extreme-scale Applied Data Science project at University at Buffalo (UB) is a research endeavor to develop new solutions for learning non-linear low-dimensional representations from massive high-dimensional data sets.
This research is supported by the following grant from the National Science Foundation (NSF)
NSF OAC 1910539 - Scalable Non-linear Dimensionality Reduction Methods to Accelerate Scientific Discovery