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20232026
most citedGlobal Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation

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cs.LG2025

Training Neural ODEs Using Fully Discretized Simultaneous Optimization

Mariia Shapovalova, Calvin Tsay

Neural Ordinary Differential Equations (Neural ODEs) represent continuous-time dynamics with neural networks, offering advancements for modeling and control tasks. However, trainin…