Jörn-Henrik Jacobsen
Jörn-Henrik Jacobsen
Vector Institute
Verified email at vectorinstitute.ai - Homepage
Cited by
Cited by
Why musical memory can be preserved in advanced Alzheimer’s disease
JH Jacobsen, J Stelzer, TH Fritz, G Chételat, R La Joie, R Turner
Brain: a Journal of Neurology 138 (8), 2438-2450, 2015
i-RevNet: Deep Invertible Networks
JH Jacobsen, A Smeulders, E Oyallon
International Conference on Learning Representations (ICLR), 2018
Invertible residual networks
J Behrmann, W Grathwohl, RTQ Chen, D Duvenaud, JH Jacobsen
arXiv preprint arXiv:1811.00995, 2018
Structured Receptive Fields in CNNs
JH Jacobsen, J van Gemert, Z Lou, AWM Smeulders
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2610-2619, 2016
Excessive invariance causes adversarial vulnerability
JH Jacobsen, J Behrmann, R Zemel, M Bethge
arXiv preprint arXiv:1811.00401, 2018
Dynamic steerable blocks in deep residual networks
JH Jacobsen, B De Brabandere, AWM Smeulders
arXiv preprint arXiv:1706.00598, 2017
Residual flows for invertible generative modeling
TQ Chen, J Behrmann, DK Duvenaud, JH Jacobsen
Advances in Neural Information Processing Systems, 9913-9923, 2019
Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness
JH Jacobsen, J Behrmann, N Carlini, F Tramèr, N Papernot
ICLR 2019 SafeML Workshop, 2019
Hierarchical Attribute CNNs
JH Jacobsen, E Oyallon, S Mallat, AWM Smeulders
ICML 2017 Workshop on Principled Approaches to Deep Learning, 2017
Flexibly fair representation learning by disentanglement
E Creager, D Madras, JH Jacobsen, MA Weis, K Swersky, T Pitassi, ...
arXiv preprint arXiv:1906.02589, 2019
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
W Grathwohl, KC Wang, JH Jacobsen, D Duvenaud, M Norouzi, ...
arXiv preprint arXiv:1912.03263, 2019
Understanding the Limitations of Conditional Generative Models
E Fetaya, JH Jacobsen, W Grathwohl, R Zemel
arXiv preprint arXiv:1906.01171, 2019
Deep receptive field networks
J Jacobsen, JC Van Gemert, R van den Boomgaard, LOU Zhongyu, ...
US Patent App. 15/579,917, 2018
How to train your neural ode
C Finlay, JH Jacobsen, L Nurbekyan, AM Oberman
arXiv preprint arXiv:2002.02798, 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
D Krueger, E Caballero, JH Jacobsen, A Zhang, J Binas, RL Priol, ...
arXiv preprint arXiv:2003.00688, 2020
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
F Tramèr, J Behrmann, N Carlini, N Papernot, JH Jacobsen
arXiv preprint arXiv:2002.04599, 2020
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
Q Li, S Haque, C Anil, J Lucas, RB Grosse, JH Jacobsen
Advances in Neural Information Processing Systems, 15364-15376, 2019
Structured convolutional networks
JH Jacobsen
Universiteit van Amsterdam, 2018
Residual Flows
RTQ Chen, J Behrmann, D Duvenaud, JH Jacobsen
Residual Flows: Unbiased Generative Modeling with Norm-Learned i-ResNets
RTQ Chen, J Behrmann, JH Jacobsen
The system can't perform the operation now. Try again later.
Articles 1–20