Christopher Clarke

Sessions

• Shrink Your VA Model Neural Networks!

  13:00 - 13:20 UTC | Friday 1st November 2024 | ADCx Gather
  Online Only

  Capturing the complex nonlinear behaviors of analog circuits in virtual analog modeling is a significant challenge. Selecting the appropriate neural network size and architecture for these function approximation tasks currently relies heavily on trial-and-error methods like grid search. These approaches are time-consuming, computationally intensive, and lack a solid theoretical foundation, often resulting in oversized models that are inefficient and impractical for real-time applications. This talk introduces ideas for a framework that systematically determines optimal neural network architectures for modeling. The talk will speak about examining the geometric structures and symmetries in the complexity of the model, and the designation of […]