Towards Real-World Super-Resolution using Deep Neural Networks

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Towards Real-World Super-Resolution using Deep Neural Networks

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

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Self-supervised Change Detection via Cooperative Learning: A Two-Player Model

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

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Partial discharge localization in power transformer tanks using machine learning methods

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Robust NAS under adversarial training: benchmark, theory, and beyond

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Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

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