Functional Inverse Problems on Spheres: Theory, Algorithms and Applications

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Functional Inverse Problems on Spheres: Theory, Algorithms and Applications

Chat with Graph Search

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Random matrix methods for high-dimensional machine learning models

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Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

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Machine Learning for Modeling Stock Returns

On the number of regions of piecewise linear neural networks

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On the Generalization of Stochastic Gradient Descent with Momentum

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