no code implementations • 26 Dec 2023 • Bo Deng
Conventional training methods for artificial neural network (ANN) models never achieve zero error rate systematically for large data.
no code implementations • 15 Nov 2023 • Bo Deng, Chayu Yang
What is the long term dynamics of the Covid-19 pandemic?
no code implementations • 15 Nov 2023 • Bo Deng
The U. S. Covid-19 data exhibit a high-frequency oscillation along a low-frequency wave for outbreaks.
no code implementations • 14 Nov 2023 • Bo Deng
Spike bursting is a ubiquitous feature of all neuronal systems.
1 code implementation • 6 Jun 2023 • Sriram Ravula, Varun Gorti, Bo Deng, Swagato Chakraborty, James Pingenot, Bhyrav Mutnury, Doug Wallace, Doug Winterberg, Adam Klivans, Alexandros G. Dimakis
DIP is a technique that optimizes the weights of a randomly-initialized convolutional neural network to fit a signal from noisy or under-determined measurements.
