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05/19/2021
Errors-in-Variables for deep learning: rethinking aleatoric uncertainty
We present a Bayesian treatment for deep regression using an Errors-in-V...
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03/25/2021
About the regularity of the discriminator in conditional WGANs
Training of conditional WGANs is usually done by averaging the underlyin...
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06/15/2020
Detecting unusual input to neural networks
Evaluating a neural network on an input that differs markedly from the t...
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09/12/2019
Inspecting adversarial examples using the Fisher information
Adversarial examples are slight perturbations that are designed to fool ...
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07/30/2019
