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Ceyron committed Nov 5, 2024
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Expand Up @@ -122,9 +122,7 @@ APEBench encapsulates the entire pipeline of training and evaluating an
autoregressive neural emulator in a scenario. A scenario is a callable
dataclass.

## Acknowledgements

### Citation
## Citation

This package was developed as part of the [APEBench paper
(arxiv.org/abs/2411.00180)](https://arxiv.org/abs/2411.00180) (accepted at
Expand All @@ -143,11 +141,11 @@ consider citing it:

(Feel free to also give the project a star on GitHub if you like it.)

### Funding
## Funding

The main author (Felix Koehler) is a PhD student in the group of [Prof. Thuerey at TUM](https://ge.in.tum.de/) and his research is funded by the [Munich Center for Machine Learning](https://mcml.ai/).

### License
## License

MIT, see [here](https://github.com/Ceyron/apebench/blob/main/LICENSE.txt)

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