One-shot learning for solution operators of partial differential equations

One-shot learning for solution operators of partial differential equations

We demonstrate the capability and potential of our proposed one-shot learning method through various problems, and…

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The chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning

The chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning

chronODE: modeling time-resolved genomic signals with the logistic function Given the cooperative and saturating nature of…

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Understanding Aggregate Trends for Apple Intelligence Using Differential Privacy

Understanding Aggregate Trends for Apple Intelligence Using Differential Privacy

At Apple, we believe privacy is a fundamental human right. And we believe in giving our…

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Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations

Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations

Randall, D. & Welser, C. The Irreproducibility Crisis of Modern Science: Causes, Consequences, and the Road…

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