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Information, Learning & Physics Laboratory (STI/SB)

Laboratory

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Information, Learning & Physics Laboratory (STI/SB)

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The Unstoppable Rise of Computational Linguistics in Deep Learning

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach

Entropy and mutual information in models of deep neural networks

A geometry-inspired decision-based attack

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

Pretraining boosts out-of-domain robustness for pose estimation

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

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach

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

The Unstoppable Rise of Computational Linguistics in Deep Learning

A geometry-inspired decision-based attack

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

Entropy and mutual information in models of deep neural networks

Entropy and mutual information in models of deep neural networks

Evolution of Neural Network Architectures for Speech Recognition

Pretraining boosts out-of-domain robustness for pose estimation