2021
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
NeurIPS 2021poster
A recently proposed class of models attempts to learn latent dynamics from high-dimensional observations, like images, using priors informed by Hamiltonian mechanics. While these models have important potential applications in areas like robotics or autonomous driving, there is currently no good way…