$\hat{I}“$-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data

Jason Z. Kim, Nicolas Perrin-Gilbert, Erkan Narmanli +5

Natural systems with emergent behaviors often organize along low-dimensional subsets of high-dimensional spaces. For example, despite the tens of thousands of genes in the human ge…