Sort by
Refine Your Search
-
Employer
-
Field
-
neural networks under symmetry constraints, their optimization dynamics, and their generalization behavior—particularly in low-data or out-of-distribution settings. The work combines formal theoretical
-
— which is a fundamental Partial Differential Equation (PDE) that captures the time evolution of probability distributions in systems driven by stochastic processes with Brownian motion. It plays a crucial
Enter an email to receive alerts for distributed-algorithm-"Meta"-"Meta" positions