AIMdyn Inc. has begun work on the AFOSR project:
Koopman Operator Theoretic Methods for Efficient Training and Analysis of Deep Neural Networks
The past decade has seen a tremendous increase in the capability of deep neural networks, as models have become increasingly large and intricate. However, such improvements have come at the cost of requiring significant computational resources and time. This proposal leverages Koopman operator theory to make deep neural network training and deployment more efficient, interpretable, and generalizable.
PI: Dr. Maria Fonoberova; co-PIs: William Redman and Dr. Ryan Mohr