My takes on papers, theorems and ideas I find interesting.
Report on a novel Riemannian Gradient Descent based approach for Bayesian Rotation Synchronization.
A report on topology constrained representation learning using autoencoders
A Report on NeuralMeshFlows -- Diffeomorphic Genus-0 Mesh Generation using Neural ODEs
A Report on unsupervised discovery of interpretable feature directions in pre-trained GANs