progression

ODE

Neural ODE Neural Ordinary Differential Equations NeurIPS 2018 | YouTube

• consider NN not as discrete layers but as a continuous function, a whole big block
• not specifying depth of the network, let it learn by itself
• better than RNN because: 1. more efficient 2. better at irregular time series

Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression NeurIPS 2021 | code

• combine (explainable but limited) expert knowledge with ML latent representative power

COX

LSTM