no code implementations • 19 May 2018 • Line Kuhnel, Tom Fletcher, Sarang Joshi, Stefan Sommer
Given data, deep generative models, such as variational autoencoders (VAE) and generative adversarial networks (GAN), train a lower dimensional latent representation of the data space.
no code implementations • 31 May 2017 • Stefan Sommer, Alexis Arnaudon, Line Kuhnel, Sarang Joshi
We present an inference algorithm and connected Monte Carlo based estimation procedures for metric estimation from landmark configurations distributed according to the transition distribution of a Riemannian Brownian motion arising from the Large Deformation Diffeomorphic Metric Mapping (LDDMM) metric.
