Hyperparameter selection for equation learning with biologically-informed neural networks
cs.LG
Submitted: 2026-10-02
Updated: 2026-10-02
Code: https://github.com/williamlavery/binn-hyperparam-selection
Sources
- Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl
- Physics-Informed Neural Networks for Biological $2\mathrm{D}{+}t$ Reaction-Diffusion Systems
- Reliable mechanistic operator recovery with biologically-informed neural networks: principles for architecture and optimisation design
- PINNverse: Accurate parameter estimation in differential equations from noisy data with constrained physics-informed neural networks
- Searching for Activation Functions
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