Is there a paper accomplishing finding physical law from observation without premade perception, using machine learning? For example:
Isaac Newton finds law of universal gravitation just by looking a falling apple, without any premade perception of that phenomenon. Is it possible to accomplish that kind of discovery using machine learning?
You can check this paper

Discovering physical concepts
with neural networks - https://arxiv.org/pdf/1807.10300.pdf

I quote one of the first sentences


  Here, we present a neural network architecture that can be used to discover physical concepts from experimental data without being provided with additional prior knowledge