Joern-Henrik Jacobsen

Out-of-Distribution Generalization via Risk Extrapolation (REx)

David Krueger, Ethan Caballero, Joern-Henrik Jacobsen et al. · arXiv (Cornell University) · 2020 · 260 citations · Full text

Engineering, Machine Learning, Rare Event Estimation +16

Invertible Residual Networks

Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen et al. · International Conference on Machine Learning · 2019 · 192 citations

Convolutional Neural Network, Invertible Resnets, Machine Learning +20

Residual Flows for Invertible Generative Modeling

Ricky T. Q. Chen, Jens Behrmann, David Duvenaud et al. · Neural Information Processing Systems · 2019 · 109 citations

Artificial Intelligence, Generative System, Density Estimation +14

Environment Inference for Invariant Learning

Elliot Creager, Joern-Henrik Jacobsen, Richard S. Zemel · International Conference on Machine Learning · 2021 · 51 citations

Artificial Intelligence, Machine Vision, Machine Learning +15

Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations

Florian Tramèr, Jens Behrmann, Nicholas Carlini et al. · International Conference on Machine Learning · 2020 · 34 citations

Artificial Intelligence, Fundamental Tradeoffs, Adversarial Examples +13