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Information, Learning & Physics Laboratory (SB/STI)

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Exact Preimages of Neural Network Aircraft Collision Avoidance Systems

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

Entropy and mutual information in models of deep neural networks

A geometry-inspired decision-based attack

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

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

Entropy and mutual information in models of deep neural networks

Evolution of Neural Network Architectures for Speech Recognition

Theory of representation learning in cortical neural networks

Exact Preimages of Neural Network Aircraft Collision Avoidance Systems

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Entropy and mutual information in models of deep neural networks

Evolution of Neural Network Architectures for Speech Recognition

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

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

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

Entropy and mutual information in models of deep neural networks

A geometry-inspired decision-based attack

Theory of representation learning in cortical neural networks