2026
Automatic and Structure-Aware Sparsification of Hybrid Neural ODEs with Application to Glucose Prediction
ICLR 2026poster
Hybrid neural ordinary differential equations (neural ODEs) integrate mechanistic models with neural ODEs, offering strong inductive bias and flexibility, and are particularly advantageous in data-scarce healthcare settings. However, excessive latent states and interactions from mechanistic models c…