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🏢 Simon Fraser University

Optimal deep learning of holomorphic operators between Banach spaces
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🏢 Simon Fraser University
Deep learning optimally learns holomorphic operators between Banach spaces, achieving near-optimal generalization bounds with problem-agnostic DNN architectures.
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
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AI Generated Machine Learning Self-Supervised Learning 🏢 Simon Fraser University
Data-efficient neural operator learning is achieved via unsupervised pretraining and in-context learning, significantly reducing simulation costs and improving generalization.