Published July 17, 2020 | Version 0.1
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Latent Linear Adjustment autoencoder: Pre-trained models

  • 1. ETH Zurich

Description

These are the checkpoints of the pre-trained models used for the applications of the Latent Linear Adjustment autoencoder as described in Heinze-Deml et al., 2020.

More details can be found in the following GitHub repository: https://github.com/christinaheinze/latent-linear-adjustment-autoencoders.

References

Heinze-Deml C., Sippel, S., Pendergrass, A. G., Lehner, F., and Meinshausen, N., 2020: Latent Linear Adjustment autoencoders: A novel method for estimating and emulating dynamic precipitation at high resolution. arXiV preprint

Files

checkpoints.zip

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