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apply a diverse range of techniques from scientific computing to design and implement new second-order… Avoiding kernel fixed points: Computing with ELU and GELU infinite networks… Novel Machine Learning Models for Scientific Discovery… Big time series data and randomised numerical linear algebra… to explore the trade-offs between high-generalization performance and low-model complexity for scientific machine learning.… Scientific Computing… conditions are practically computable and yield small sample sizes. They are then incorporated in our…
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