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PyBrain

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Biologically plausible unsupervised learning in shallow and deep neural networks

Defect segmentation for multi-illumination quality control systems

From Human-Designed Convolutional Neural Networks Towards Robust Neural Architecture Search

Loss landscape and symmetries in Neural Networks

From Classical to Unsupervised-Deep-Learning Methods for Solving Inverse Problems in Imaging.

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

Learning approaches to high-fidelity optical diffraction tomography

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

Exact Preimages of Neural Network Aircraft Collision Avoidance Systems

Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness