DIRESA-Torch is a Python package for dimension reduction based on PyTorch. The distance-regularized Siamese twin autoencoder architecture is designed to preserve distance (ordering) in latent space while capturing the non-linearities in the datasets. Install DIRESA-Torch with the following command: pip install diresa-torch
De Paepe, G, Bonnefoy, L, Bouillon, JL & De Cruz, L, DIRESA-Torch: Distance-regularized Siamese twin autoencoder, 2026, Software. https://doi.org/10.5281/zenodo.18698814
De Paepe, G., Bonnefoy, L., Bouillon, J. L., & De Cruz, L. (2026). DIRESA-Torch: Distance-regularized Siamese twin autoencoder. Software https://doi.org/10.5281/zenodo.18698814
@misc{0533beb7e7094d8d8453536fa1806a93,
title = "DIRESA-Torch: Distance-regularized Siamese twin autoencoder",
abstract = "DIRESA-Torch is a Python package for dimension reduction based on PyTorch. The distance-regularized Siamese twin autoencoder architecture is designed to preserve distance (ordering) in latent space while capturing the non-linearities in the datasets. Install DIRESA-Torch with the following command: pip install diresa-torch",
author = "\{De Paepe\}, Geert and Lars Bonnefoy and Bouillon, \{Janne Lisa\} and \{De Cruz\}, Lesley",
year = "2026",
month = feb,
day = "19",
doi = "10.5281/zenodo.18698814",
language = "English",
}