thank you very much for organizing this challenge !
I have a few questions that I hope you can help me with, to avoid infringing any rules:
- would it be possible to have a reference equation for calculating the diversity metrics ?
- would it be okay to have a model generate 100/200 samples and select in a ‘post-processing’ stage the 30 that would maximize the diversity metrics ?
- would it be possible to encode, inside the NN, the information on the properties that x0/x1 must have (for example by fitting the network to just predict slopes and biases and using a final, non-trainable layer, to transform those 4 coefficients into 2 straight lines of 50 samples) ?
Thank you in advance !