Lagrangian Neural Networks | AISC
Speaker(s): Miles Cranmer
Find the recording, slides, and more info at https://ai.science/e/lagrangian-neural-networks--S5CAniubyDcLGzkePOfv
Motivation / Abstract
In this paper, we cover how to learn a Lagrangian system through a neural net. This is especially interesting as neural nets typically don't learn symmetries very well, even though they are prevalent phenomenon in our natural world.
What was discussed?
- What are some symmetries and conservation laws the LNN was successful in learning in your experiments?
- What makes a Lagrangian system a black box?
- If CNNs can learn to become rotationally invariant using augmentation, can we leverage those methods to learn symmetries in a LNN?
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