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Conference Paper

Relative gradient optimization of the Jacobian term in unsupervised deep learning

MPS-Authors
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Gresele,  Luigi
External Organizations;
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Javaloy,  Adrian
Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schölkopf,  Bernhard       
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

https://doi.org/10.48550/arXiv.2006.15090
(Preprint)

https://proceedings.neurips.cc/paper/2020/hash/c10f48884c9c7fdbd9a7959c59eebea8-Abstract.html
(Publisher version)

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Citation

Gresele, L., Fissore, G., Javaloy, A., Schölkopf, B., & Hyvärinen, A. (2021). Relative gradient optimization of the Jacobian term in unsupervised deep learning. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, & H. Lin (Eds.), Advances in Neural Information Processing Systems 33 (pp. 16567-16578). Red Hook, NY: Curran Associates, Inc. Retrieved from https://proceedings.neurips.cc/paper/2020/hash/c10f48884c9c7fdbd9a7959c59eebea8-Abstract.html.


Cite as: https://hdl.handle.net/21.11116/0000-000A-EF26-F
Abstract
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