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Three-dimensional tomography of red blood cells using deep learning

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Three-dimensional tomography of red blood cells using deep learning

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Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Entropy and mutual information in models of deep neural networks

Pretraining boosts out-of-domain robustness for pose estimation

A jamming transition from under- to over-parametrization affects generalization in deep learning

Neural network training for cross-protocol radiomic feature standardization in computed tomography

A geometry-inspired decision-based attack

LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Analog Neural Networks with Deep-submicron Nonlinear Synapses

On Problem Formulation, Efficient Modeling and Deep Neural Networks for High-Quality Ultrasound Imaging

LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation

A geometry-inspired decision-based attack

Entropy and mutual information in models of deep neural networks

A jamming transition from under- to over-parametrization affects generalization in deep learning

Pretraining boosts out-of-domain robustness for pose estimation

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Neural network training for cross-protocol radiomic feature standardization in computed tomography

Analog Neural Networks with Deep-submicron Nonlinear Synapses

On Problem Formulation, Efficient Modeling and Deep Neural Networks for High-Quality Ultrasound Imaging

Analog Neural Networks with Deep-submicron Nonlinear Synapses