1 code implementation • 11 Dec 2023 • Ryan King, Tianbao Yang, Bobak Mortazavi
In downstream tasks, including in-hospital mortality prediction and phenotyping, our pretrained model outperforms baselines in settings where only a fraction of the data is labeled, emphasizing its ability to enhance ICU data analysis.
no code implementations • 17 Oct 2021 • Ryan King, Bobak Mortazavi
However, many of these methods do not have a detection method for new classes or make assumptions about the distribution of classes.
1 code implementation • 28 Feb 2019 • Prakash Mohan, Marc T. Henry de Frahan, Ryan King, Ray W. Grout
The parameters defining these layers are initialized using random values and are "learned" from data, typically using stochastic gradient descent based algorithms.
no code implementations • 16 Oct 2018 • Ryan King, Oliver Hennigh, Arvind Mohan, Michael Chertkov
We describe tests validating progress made toward acceleration and automation of hydrodynamic codes in the regime of developed turbulence by three Deep Learning (DL) Neural Network (NN) schemes trained on Direct Numerical Simulations of turbulence.