3 citations · 3 across the 3 of their papers we have counts for
3 papers
q-bio.NC2024
Three mechanistically different variability and noise sources in the trial-to-trial fluctuations of responses to brain stimulation
Ke Ma, Siwei Liu, Mengjie Qin +1
Motor-evoked potentials (MEPs) are among the few directly observable responses to external brain stimulation and serve a variety of applications, often in the form of input-output…
cs.AI2024
AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile Devices
Yuzhan Wang, Sicong Liu, Bin Guo +6
Deep learning is reshaping mobile applications, with a growing trend of deploying deep neural networks (DNNs) directly to mobile and embedded devices to address real-time performan…
cs.LG2024★ 3 cited
A Robbins--Monro Sequence That Can Exploit Prior Information For Faster Convergence
Siwei Liu, Ke Ma, Stephan M. Goetz
We propose a new method to improve the convergence speed of the Robbins-Monro algorithm by introducing prior information about the target point into the Robbins-Monro iteration. We…