Preprint Open access
Block Disentanglement in CRL: Bridging Identifiability and Visual State Estimation
Causal representation learning (CRL) is the process of recovering causally-related latent variables from high-dimensional observations. As a label-free inference method, CRL is particularly attractive for applications where data labels are unavailable or impractical to obtain. While there has been significant progress …