IEEE

Uniform Convergence of Deep Neural Networks With Lipschitz Continuous Activation Functions and Variable Widths

Abstract: We consider deep neural networks (DNNs) with a Lipschitz continuous activation function and with weight matrices of variable widths. We establish a uniform convergence analysis framework in ...
IEEE

Variable Sampling MPC via Differentiable Time-Warping Function

Abstract: Designing control inputs for a system that involves dynamical responses in multiple timescales is nontrivial. This paper proposes a parameterized time-warping function to enable a ...
New Atlas

Artificial neuron melds electronics and biology to function like the real thing

Scientists have built an artificial neuron that’s so realistic it fires, learns, and responds to chemical signals just like the real thing – a breakthrough that could transform computing, medicine, ...
Frontiers

Pathological respiratory chemoreflex activation predicts improvement of neurocognitive function in response to continuous positive airway pressure therapy

Introduction: There is a need for biomarkers predicting neurocognitive improvement following treatment of obstructive sleep apnea (OSA) with continuous positive airway pressure (CPAP). The role of ...