Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

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Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

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Machine Learning for Modeling Stock Returns

Topics in statistical physics of high-dimensional machine learning

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

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

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Aggregating Spatial and Photometric Context for Photometric Stereo

Enabling Uncertainty Estimation in Iterative Neural Networks

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Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills

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

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