Behrmann, Jens

9 publications

ICML 2025 Addressing Misspecification in Simulation-Based Inference Through Data-Driven Calibration Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Joern-Henrik Jacobsen, Marco Cuturi

NeurIPSW 2023 Inferring Cardiovascular Biomarkers with Hybrid Model Learning Ortal Senouf, Jens Behrmann, Joern-Henrik Jacobsen, Pascal Frossard, Emmanuel Abbe, Antoine Wehenkel

TMLR 2023 Robust Hybrid Learning with Expert Augmentation Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Joern-Henrik Jacobsen

AISTATS 2021 Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger Grosse, Joern-Henrik Jacobsen

ICMLW 2021 Generalization of the Change of Variables Formula with Applications to Residual Flows Niklas Koenen, Marvin N. Wright, Peter Maass, Jens Behrmann

ICML 2020 Fundamental Tradeoffs Between Invariance and Sensitivity to Adversarial Perturbations Florian Tramer, Jens Behrmann, Nicholas Carlini, Nicolas Papernot, Joern-Henrik Jacobsen

ICLR 2019 Excessive Invariance Causes Adversarial Vulnerability Joern-Henrik Jacobsen, Jens Behrmann, Richard Zemel, Matthias Bethge

ICML 2019 Invertible Residual Networks Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen, David Duvenaud, Joern-Henrik Jacobsen

NeurIPS 2019 Residual Flows for Invertible Generative Modeling Ricky T. Q. Chen, Jens Behrmann, David K. Duvenaud, Joern-Henrik Jacobsen