NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:44
Title:High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks

All reviewers agree that the paper offers a solid contribution on evaluating the capacity of large neural nets for video prediction tasks. They authors examine a variety of different settings, and provide interesting results. One suggestion for improvement is that the authors evaluate SOTA networks on more complex data sets, and cases where some scenes have higher uncertainty.