Universal latent spaces
Self-Supervised Learning of Universal Latent Spaces for Operator Learning
Paper title Self-Supervised Learning of Universal Latent Spaces for Operator Learning
Paper arXiv 2611.05735PDF
A functional autoencoder is pre-trained on analytic functions generated on the fly, without a solver or labels, and its latent space is frozen; neural operators are then trained on cached embeddings.
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