Abstract: Differentiable bilevel Neural Architecture Search (NAS) has emerged as a powerful approach in automated machine learning (AutoML) for efficiently searching for neural network architectures.

Abstract: This paper proposes an attack graph-based optimization model to enable cybersecure digital manufacturing. Cybersecurity has become imperative as manufacturing systems continue to increase ...

In this tutorial, we shift from traditional prompt crafting to a more systematic, programmable approach by treating prompts as tunable parameters rather than static text. Instead of guessing which ...