175 citations · 645 across the 17 of their papers we have counts for
3 papers · 1 filter
Invertible Residual Networks
Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen +2
We show that standard ResNet architectures can be made invertible, allowing the same model to be used for classification, density estimation, and generation. Typically, enforcing i…
Excessive Invariance Causes Adversarial Vulnerability
Jörn-Henrik Jacobsen, Jens Behrmann, Richard Zemel +1
Despite their impressive performance, deep neural networks exhibit striking failures on out-of-distribution inputs. One core idea of adversarial example research is to reveal neura…
Analysis of Invariance and Robustness via Invertibility of ReLU-Networks
Jens Behrmann, Sören Dittmer, Pascal Fernsel +1
Studying the invertibility of deep neural networks (DNNs) provides a principled approach to better understand the behavior of these powerful models. Despite being a promising diagn…