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

Neural Learning-Based Adaptive Force Tracking Control for Robots With Finite-Time Prescribed Performance Under Varying Environments

Abstract: Endowing robots with the ability to maintain precise interaction force is critical for performing force control tasks in dynamic environments characterized by unknown and varying stiffness ...
eLife

Adult-neurogenesis allows for representational stability and flexibility in early olfactory system

This paper presents a valuable theory and analysis of the role of neurogenesis and inhibitory plasticity in the drift of neural representations in the olfactory system. For one of the findings, ...
PNAS

Language models reveal a complex sequence basis for adaptive convergent evolution of protein functions

We thank Dr. Jianzhi Zhang, Dr. Xionglei He, Dr. Weiwei Zhai, Shanshan Chen, Han Liu, Tianhan Wang, and three anonymous reviewers for valuable comments. This work was supported by the Strategic ...