Machine learning and the renormalization group.
Guided by insights from the theory of disordered systems, and statistical field-theoretic techniques, we aim to further solidify connections between machine learning and the renormalization group. The project will enable us to further our understanding of neural networks and provide machine-learning enhancedcomputational advances to problems of physics.