Discovery of Slow Variables in a Class Of Multiscale Stochastic Systems Via Neural Networks

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Discovery of Slow Variables in a Class Of Multiscale Stochastic Systems Via Neural Networks

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A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

On the number of regions of piecewise linear neural networks

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Sparse autoregressive neural networks for classical spin systems

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Partial discharge localization in power transformer tanks using machine learning methods

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Fast adaptation to rule switching using neuronal surprise

Incorporating Projective Geometry into Deep Learning

Gibbs sampling the posterior of neural networks

Optimizing Dynamic Aperture Studies with Active Learning

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Performing and Detecting Backdoor Attacks on Face Recognition Algorithms