Jörn-Henrik Jacobsen

Author

Also Known As

Aahlad Puli, Cuturi, Marco, Jacobsen, J.-H., Jacobsen, Jorn-Henrik, Jacobsen, Jörn-Henrik, Joern-Henrik Jacobsen, Jorn-Henrik Jacobsen, Jörn-Henrik Jacobsen, Sener, Ozan

Publications

2.7K

Citations

H-Index

Concepts

All Affiliations

University of Toronto University of Bremen Vector Institute University of Tübingen McGill University

About

Jörn-Henrik Jacobsen is an author at University of Toronto specializing in machine learning, computer science, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	17	2.5K
2	Computer Science	15	16	2.5K
3	Social Sciences	3	3	132
4	Management	2	2	35
5	Computer Engineering	1	1	18

Jörn-Henrik Jacobsen

Publications

2.5K

Citations

H-Index

Page 1

	Year	Citations
Shortcut learning in deep neural networks Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Nature Machine Intelligence Deep Neural NetworksEngineeringMachine LearningSparse Neural NetworkShortcut Learning	2020	1.6K
Invertible Residual Networks Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen, arXiv (Cornell University) Convolutional Neural NetworkInvertible ResnetsMachine LearningEngineeringAutoencoders	2018	170
Flexibly Fair Representation Learning by Disentanglement Elliot Creager, David Madras, Jörn-Henrik Jacobsen, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningRepresentation LearningNatural Language Processing	2019	134
Residual Flows for Invertible Generative Modeling Ricky T. Q. Chen, Jens Behrmann, David Duvenaud, arXiv (Cornell University) Artificial IntelligenceGenerative SystemDensity EstimationEngineeringMachine Learning	2019	96
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, arXiv (Cornell University) EngineeringMachine LearningGenerative SystemClassification MethodImage Analysis	2019	86
How to train your neural ODE: the world of Jacobian and kinetic regularization Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan, arXiv (Cornell University) EngineeringMachine LearningRecurrent Neural NetworkSocial SciencesPde-constrained Optimization	2020	76
i-RevNet: Deep Invertible Networks Jörn-Henrik Jacobsen, Arnold Smeulders, Edouard Oyallon arXiv (Cornell University) Artificial IntelligenceNatural Image RepresentationsGeometric LearningConvolutional Neural NetworkEngineering	2018	59
Excessive Invariance Causes Adversarial Vulnerability Jörn-Henrik Jacobsen, Jens Behrmann, Richard S. Zemel, arXiv (Cornell University) Artificial IntelligenceExcessive InvarianceConvolutional Neural NetworkDeep Neural NetworksEngineering	2018	59
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations Florian Tramèr, Jens Behrmann, Nicholas Carlini, arXiv (Cornell University) Artificial IntelligenceFundamental TradeoffsAdversarial ExamplesEngineeringMachine Learning	2020	29
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan, International Conference on Machine Learning EngineeringMachine LearningRecurrent Neural NetworkSocial SciencesPde-constrained Optimization	2020	29

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