Invertible Residual Networks

Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen, +2

International Conference on Machine Learning

Convolutional Neural NetworkInvertible ResnetsMachine LearningEngineeringAutoencoders +18

Invertible Residual Networks

Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen, +2

arXiv (Cornell University)

Convolutional Neural NetworkInvertible ResnetsMachine LearningEngineeringAutoencoders +18

Deep learning for tumor classification in imaging mass spectrometry

Jens Behrmann, Christian Etmann, Tobias Boskamp, +3

Bioinformatics

Residual Flows for Invertible Generative Modeling

Ricky T. Q. Chen, Jens Behrmann, David Duvenaud, +1

Neural Information Processing Systems

Artificial IntelligenceGenerative SystemDensity EstimationEngineeringMachine Learning +12

Residual Flows for Invertible Generative Modeling

Ricky T. Q. Chen, Jens Behrmann, David Duvenaud, +1

arXiv (Cornell University)

Artificial IntelligenceGenerative SystemDensity EstimationEngineeringMachine Learning +12

Excessive Invariance Causes Adversarial Vulnerability

Jörn-Henrik Jacobsen, Jens Behrmann, Richard S. Zemel, +1

arXiv (Cornell University)

Artificial IntelligenceExcessive InvarianceConvolutional Neural NetworkDeep Neural NetworksEngineering +12

Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations

Florian Tramèr, Jens Behrmann, Nicholas Carlini, +2

International Conference on Machine Learning

Artificial IntelligenceFundamental TradeoffsAdversarial ExamplesEngineeringMachine Learning +11

Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations

Florian Tramèr, Jens Behrmann, Nicholas Carlini, +2

arXiv (Cornell University)

Artificial IntelligenceFundamental TradeoffsAdversarial ExamplesEngineeringMachine Learning +11

Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness

Jörn-Henrik Jacobsen, Jens Behrmann, Nicholas Carlini, +2

arXiv (Cornell University)

Artificial IntelligenceExcessive InvarianceAdversarial ExamplesEngineeringMachine Learning +10

Understanding and Mitigating Exploding Inverses in Invertible Neural Networks

Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, +2

arXiv (Cornell University)

Common ArchitecturesExploding InversesEngineeringMachine LearningSparse Neural Network +12