Explores finite fields, vector spaces, commutative groups, and field properties, highlighting their significance in coding theory and algebraic computations.
Explores Stochastic Gradient Descent and Mean Field Analysis in two-layer neural networks, emphasizing their iterative processes and mathematical foundations.
Covers the relationship between conformal field theory and Liouville quantum gravity, focusing on correlation functions and the implications of cutting LQG by SLE loops.
