Deep learning was recently successfully used in deriving symmetry
transf...
Recent work has applied supervised deep learning to derive continuous
sy...
Recent work has used deep learning to derive symmetry transformations, w...
We develop a deep learning methodology for the simultaneous discovery of...
We design a deep-learning algorithm for the discovery and identification...
Transit spectroscopy is a powerful tool to decode the chemical compositi...
The physical characteristics and atmospheric chemical composition of new...