Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
Convolutional Neural Networks combined with Runge-Kutta Methods
Fast Decoding in Sequence Models using Discrete Latent Variables
PDE-Net: Learning PDEs from Data
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations