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Informed Equation Learning
Our system then utilizes a robust method to learn equations with atomic functions exhibiting singularities, as e. g. logarithm and division.
Unpaired High-Resolution and Scalable Style Transfer Using Generative Adversarial Networks
Neural networks have proven their capabilities by outperforming many other approaches on regression or classification tasks on various kinds of data.
Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks
We propose to use ensemble methods as a defense strategy against adversarial perturbations.
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