2022
Laplacian Autoencoders for Learning Stochastic Representations
NeurIPS 2022accept
Established methods for unsupervised representation learning such as variational autoencoders produce none or poorly calibrated uncertainty estimates making it difficult to evaluate if learned representations are stable and reliable. In this work, we present a Bayesian autoencoder for unsupervised r…