papers.bib

@article{ellinghaus2018time,
	title={On the time-course of automatic response activation in the Simon task},
	author={Ellinghaus, Ruben and Karlbauer, Matthias and Bausenhart, Karin M and Ulrich, Rolf},
	journal={Psychological Research},
	volume={82},
	pages={734--743},
	year={2018},
	publisher={Springer}
}

@article{karlbauer2019distributed,
	title={A distributed neural network architecture for robust non-linear spatio-temporal prediction},
	author={Karlbauer, Matthias and Otte, Sebastian and Lensch, Hendrik and Scholten, Thomas and Wulfmeyer, Volker and Butz, Martin V},
	journal={arXiv preprint arXiv:1912.11141},
	year={2019}
}

@inproceedings{karlbauer2020inferring,
	title={Inferring, predicting, and denoising causal wave dynamics},
	author={Karlbauer, Matthias and Otte, Sebastian and Lensch, Hendrik PA and Scholten, Thomas and Wulfmeyer, Volker and Butz, Martin V},
	booktitle={Artificial Neural Networks and Machine Learning--ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15--18, 2020, Proceedings, Part I 29},
	pages={566--577},
	year={2020},
	organization={Springer}
}

@article{otte2020active,
	title={Active tuning},
	author={Otte, Sebastian and Karlbauer, Matthias and Butz, Martin V},
	journal={arXiv preprint arXiv:2010.03958},
	year={2020}
}

@inproceedings{ciurletti2021signal,
	title={Signal denoising with recurrent spiking neural networks and active tuning},
	author={Ciurletti, Melvin and Traub, Manuel and Karlbauer, Matthias and Butz, Martin V and Otte, Sebastian},
	booktitle={International Conference on Artificial Neural Networks},
	pages={220--232},
	year={2021},
	organization={Springer}
}

@inproceedings{karlbauer2021latent,
	title={Latent state inference in a spatiotemporal generative model},
	author={Karlbauer, Matthias and Menge, Tobias and Otte, Sebastian and Lensch, Hendrik PA and Scholten, Thomas and Wulfmeyer, Volker and Butz, Martin V},
	booktitle={International Conference on Artificial Neural Networks},
	pages={384--395},
	year={2021},
	organization={Springer}
}

@article{fabi2022extending,
	title={Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set},
	author={Fabi, Sarah and Otte, Sebastian and Scholz, Fedor and W{\"u}hrer, Julius and Karlbauer, Matthias and Butz, Martin V},
	journal={IEEE Transactions on Cognitive and Developmental Systems},
	volume={15},
	number={2},
	pages={896--903},
	year={2022},
	publisher={IEEE}
}

@inproceedings{horuz2022infering,
	title={Infering boundary conditions in finite volume neural networks},
	author={Horuz, Co{\c{s}}ku Can and Karlbauer, Matthias and Praditia, Timothy and Butz, Martin V and Oladyshkin, Sergey and Nowak, Wolfgang and Otte, Sebastian},
	booktitle={International Conference on Artificial Neural Networks},
	pages={538--549},
	year={2022},
	organization={Springer}
}

@inproceedings{karlbauer2022composing,
	title={Composing partial differential equations with physics-aware neural networks},
	author={Karlbauer, Matthias and Praditia, Timothy and Otte, Sebastian and Oladyshkin, Sergey and Nowak, Wolfgang and Butz, Martin V},
	booktitle={International Conference on Machine Learning},
	pages={10773--10801},
	year={2022},
	organization={PMLR},
	selected={true}
}

@article{traub2022learning,
	title={Learning what and where: Disentangling location and identity tracking without supervision},
	author={Traub, Manuel and Otte, Sebastian and Menge, Tobias and Karlbauer, Matthias and Thuemmel, Jannik and Butz, Martin V},
	journal={arXiv preprint arXiv:2205.13349},
	year={2022}
}

@article{horuz2023physical,
	title={Physical domain reconstruction with finite volume neural networks},
	author={Horuz, Co{\c{s}}ku Can and Karlbauer, Matthias and Praditia, Timothy and Butz, Martin V and Oladyshkin, Sergey and Nowak, Wolfgang and Otte, Sebastian},
	journal={Applied Artificial Intelligence},
	volume={37},
	number={1},
	pages={2204261},
	year={2023},
	publisher={Taylor \& Francis}
}

@article{thuemmel2023inductive,
	title={Inductive biases in deep learning models for weather prediction},
	author={Thuemmel, Jannik and Karlbauer, Matthias and Otte, Sebastian and Zarfl, Christiane and Martius, Georg and Ludwig, Nicole and Scholten, Thomas and Friedrich, Ulrich and Wulfmeyer, Volker and Goswami, Bedartha and others},
	journal={arXiv preprint arXiv:2304.04664},
	year={2023}
}

@article{wulfmeyer2023estimation,
	title={Estimation of the surface fluxes for heat and momentum in unstable conditions with machine learning and similarity approaches for the LAFE data set},
	author={Wulfmeyer, Volker and Pineda, Juan Manuel Valencia and Otte, Sebastian and Karlbauer, Matthias and Butz, Martin V and Lee, Temple R and Rajtschan, Verena},
	journal={Boundary-Layer Meteorology},
	volume={186},
	number={2},
	pages={337--371},
	year={2023},
	publisher={Springer},
	selected={true}
}

@article{cresswell2024deep,
	title={A deep learning earth system model for stable and efficient simulation of the current climate},
	author={Cresswell-Clay, Nathaniel and Liu, Bowen and Durran, Dale and Liu, Andy and Espinosa, Zachary I and Moreno, Raul and Karlbauer, Matthias},
	journal={arXiv preprint arXiv:2409.16247},
	year={2024}
}

@article{karlbauer2024advancing,
	title={Advancing parsimonious deep learning weather prediction using the HEALPix mesh},
	author={Karlbauer, Matthias and Cresswell-Clay, Nathaniel and Durran, Dale R and Moreno, Raul A and Kurth, Thorsten and Bonev, Boris and Brenowitz, Noah and Butz, Martin V},
	journal={Journal of Advances in Modeling Earth Systems},
	volume={16},
	number={8},
	pages={e2023MS004021},
	year={2024},
	publisher={Wiley Online Library},
	selected={true}
}

@article{karlbauer2024comparing,
	title={Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics},
	author={Karlbauer, Matthias and Maddix, Danielle C and Ansari, Abdul Fatir and Han, Boran and Gupta, Gaurav and Wang, Yuyang and Stuart, Andrew and Mahoney, Michael W},
	journal={arXiv preprint arXiv:2407.14129},
	year={2024},
	selected={true}
}