Christoph Lippert | Recent Advances in Normalizing Flows | CGSI 2023
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- Опубліковано 6 вер 2023
- Related papers:
Kobyzev, I., Prince, S. J., & Brubaker, M. A. (2020). Normalizing flows: An introduction and review of current methods. IEEE transactions on pattern analysis and machine intelligence, 43(11), 3964-3979.
Kingma, D. P., & Dhariwal, P. (2018). Glow: Generative flow with invertible 1x1 convolutions. Advances in neural information processing systems, 31.
Kirchler, M., Lippert, C., & Kloft, M. (2023, July). Training Normalizing Flows from Dependent Data. In International Conference on Machine Learning (pp. 17105-17121). PMLR.
English, E., Kirchler, M., & Lippert, C. (2023, July). Kernelised Normalising Flows. Arxiv.
