Abstract: Physics-informed neural networks (PINNs) have great potential for flexibility and effectiveness in forward modeling and inversion of seismic waves. However, coordinate-based neural networks ...

Feature scaling is a crucial preprocessing step in machine learning, ensuring that different features contribute equally to the model's performance. By transforming data to a similar scale, we prevent ...

Abstract: Online first-order algorithms for function identification and regression with noisy data often rely on replacing actual gradients with their constructed noisy estimates. Stochastic gradient ...

It seems like only a year since Edward Berger was in the awards conversation with Conclave — which is perhaps because it is. But even by the director’s usual swift standards, Ballad of a Small Player ...