# Loss Terms and Operator Forms of Koopman Autoencoders

arXiv: https://arxiv.org/abs/2412.04578 · HTML: https://mlsanity.com/paper/2412.04578/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Dec 2024.

## Built on by (most cited first, 1 of 1)

- [Learning the Koopman Operator using Attention Free Transformers](https://mlsanity.com/paper/2606.23957/) (2026)

## Abstract (arXiv)

Koopman autoencoders are a prevalent architecture in operator learning. But, the loss functions and the form of the operator vary significantly in the literature. This paper presents a fair and systemic study of these options. Furthermore, it introduces novel loss terms.