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April 2024
LieGG: studying learned lie group generators
NIPS '22: Proceedings of the 36th International Conference on Neural Information Processing SystemsArticle No.: 1828, Pages 25212–25223

Symmetries built into a neural network have appeared to be very beneficial for a wide range of tasks as it saves the data to learn them. We depart from the position that when symmetries are not built into a model a priori, it is advantageous for robust ...
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