Jörn-Henrik Jacobsen
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Adversarial Robustness in Machine Learning, Model Reduction and Neural Networks, Neural Networks and Applications, Anomaly Detection Techniques and Applications
Most-Cited Works
- → Shortcut learning in deep neural networks(2020)1,649 cited
- → Invertible Residual Networks(2018)170 cited
- → Flexibly Fair Representation Learning by Disentanglement(2019)134 cited
- → Your Classifier is Secretly an Energy Based Model and You Should Treat\n it Like One(2019)119 cited
- → Residual Flows for Invertible Generative Modeling(2019)96 cited
- → How to train your neural ODE: the world of Jacobian and kinetic regularization(2020)76 cited
- → Excessive Invariance Causes Adversarial Vulnerability(2018)59 cited
- → i-RevNet: Deep Invertible Networks(2018)59 cited