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Imaging through multimode fibers using deep learning: The effects of intensity versus holographic recording of the speckle pattern

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Imaging through multimode fibers using deep learning: The effects of intensity versus holographic recording of the speckle pattern

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Disentangling feature and lazy training in deep neural networks

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

Comparison of crack segmentation using digital image correlation measurements and deep learning

Deep Neural Networks for seeing through multimode fibers

Entropy and mutual information in models of deep neural networks

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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

Multimode optical fiber transmission with a deep learning network

Deep Learning Works in Practice. But Does it Work in Theory?

Disentangling feature and lazy training in deep neural networks

Entropy and mutual information in models of deep neural networks

Biologically plausible deep learning – but how far can we go with shallow networks?

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

Deep Learning Works in Practice. But Does it Work in Theory?

Entropy and mutual information in models of deep neural networks

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

Multimode optical fiber transmission with a deep learning network

Deep Neural Networks for seeing through multimode fibers

Comparison of crack segmentation using digital image correlation measurements and deep learning