Unit

Statistical Physics of Computation Laboratory (SB)

Laboratory

Related publications (32)

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Statistical Physics of Computation Laboratory (SB)

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

The Unstoppable Rise of Computational Linguistics in Deep Learning

Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant

A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers

Crowding and the Architecture of the Visual System

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

Entropy and mutual information in models of deep neural networks

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

A geometry-inspired decision-based attack

Entropy and mutual information in models of deep neural networks

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

Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant

Crowding and the Architecture of the Visual System

A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers

Entropy and mutual information in models of deep neural networks

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

A geometry-inspired decision-based attack

Entropy and mutual information in models of deep neural networks

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

The Unstoppable Rise of Computational Linguistics in Deep Learning