Philipp Schmocker
PulseAugur coverage of Philipp Schmocker — every cluster mentioning Philipp Schmocker across labs, papers, and developer communities, ranked by signal.
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Neural operators show promise in approximating complex mathematical semigroups
Researchers have developed a novel approach using neural operators to approximate strongly continuous convex monotone semigroups. The study introduces Chernoff-neural operators, demonstrating their universal approximati…
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New theorem enables neural networks to approximate function derivatives
Researchers have published a paper detailing a generalized universal approximation theorem for neural networks. This new theorem extends previous work by enabling the approximation of not only functions but also their d…
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Random feature models including neural networks achieve universal approximation
Researchers have introduced a new framework for random feature learning, extending it to Banach spaces. This approach allows for significant reductions in computational complexity by only training a linear readout after…