5 papers
Effective Model Pruning: Measure The Redundancy of Model Components
Yixuan Wang, Dan P. Guralnik, Saiedeh Akbari +1
This article initiates the study of a basic question about model pruning. Given a vector of importance scores assigned to model components, how many of the scored components co…
Quantifying Trade-Offs Between Stability and Goal-Obfuscation
Yixuan Wang, Dan Guralnik, Warren Dixon
Safety-critical autonomy in adversarial settings demands more than Lyapunov stability of tracking error signals. An agent executing a goal-directed trajectory is intrinsically legi…
Energy Generative Modeling: A Lyapunov-based Energy Matching Perspective
Yixuan Wang, Wenqian Xue, Warren E. Dixon
Generative models based on static scalar energy functions represent an emerging paradigm in which a single time independent potential drives sample generation through its gradient…
Lyapunov-Based Kolmogorov-Arnold Network (KAN) Adaptive Control
Xuehui Shen, Wenqian Xue, Yixuan Wang +1
Recent advancements in Lyapunov-based Deep Neural Networks (Lb-DNNs) have demonstrated improved performance over shallow NNs and traditional adaptive control for nonlinear systems…
Lyapunov-based Adaptive Transformer (LyAT) for Control of Stochastic Nonlinear Systems
Saiedeh Akbari, Xuehui Shen, Wenqian Xue +2
This paper presents a novel Lyapunov-based Adaptive Transformer (LyAT) controller for stochastic nonlinear systems. While transformers have shown promise in various control applica…