1 code implementation • 24 May 2021 • Weiqi Ji, Franz Richter, Michael J. Gollner, Sili Deng
The approach incorporated the CRNN model into the framework of neural ordinary differential equations to predict the residual mass in TGA data.
1 code implementation • 13 Apr 2021 • Weiqi Ji, Bo Yuan, Ciyue Shen, Aviv Regev, Chris Sander, Sili Deng
While there is no analogous ground truth for real life biological systems, this work demonstrates the ability to construct and parameterize a considerable diversity of network models with high predictive ability.
1 code implementation • 29 Mar 2021 • Suyong Kim, Weiqi Ji, Sili Deng, Yingbo Ma, Christopher Rackauckas
We first show the challenges of learning neural ODE in the classical stiff ODE systems of Robertson's problem and propose techniques to mitigate the challenges associated with scale separations in stiff systems.
1 code implementation • 20 Feb 2020 • Weiqi Ji, Sili Deng
Here, we present a neural network approach that autonomously discovers reaction pathways from the time-resolved species concentration data.