We trained 12 LoGAN models with N neighbour = 12 using the Bessel descriptors, three with each combinations of R cut = 5 Å, R cut = 6 Å and n max = 3, n max = 4. For evaluation we generated 2,000 examples with each model. Fig. (left) depicts a PCA of the predictions of two out of the twelve models, which showcases how different models experience mode collapse. Namely, both models find configurations that are close to the ground truth C 5 H 12 O isomers, but neither model can find all 14 isomers. Since each model learns to focus on different structures, we can use this mode collapse to our advantage and generate structures with different models.