Jörn-Henrik Jacobsen

Shortcut learning in deep neural networks

Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis et al. · Nature Machine Intelligence · 2020 · 1.6K citations · Full text

Deep Neural Networks, Engineering, Machine Learning +5

Invertible Residual Networks

Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen et al. · arXiv (Cornell University) · 2018 · 170 citations · Full text

Convolutional Neural Network, Invertible Resnets, Machine Learning +20

Flexibly Fair Representation Learning by Disentanglement

Elliot Creager, David Madras, Jörn-Henrik Jacobsen et al. · arXiv (Cornell University) · 2019 · 134 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

Residual Flows for Invertible Generative Modeling

Ricky T. Q. Chen, Jens Behrmann, David Duvenaud et al. · arXiv (Cornell University) · 2019 · 96 citations · Full text

Artificial Intelligence, Generative System, Density Estimation +14

Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One

Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen et al. · arXiv (Cornell University) · 2019 · 86 citations · Full text

Engineering, Machine Learning, Generative System +20