Data-driven discovery and parameter estimation of mathematical models in biological pattern formation
Fig 2
The diagram of the modified contrastive learning for dimensionality reduction.
Parameter space is separated into regular grids to determine the positive and negative samples for the anchor. Only the triplets of generated images with easy negative are input to the multilayer perceptron (MLP) model, which is trained based on Triplet loss.