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Lagrangian Neural Networks
Tuesday Jul 14 2020 16:00 GMT
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Lagrangian Neural Networks
Why This Is Interesting

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.

Discussion Points
  • 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?
Time of Recording: Tuesday Jul 14 2020 16:00 GMT