smaller fixes
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@ -96,6 +96,7 @@ tt =( 'hrule\n' +
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'\\sphinxstylestrong{\\LARGE \\textsf{\\url{http://physicsbaseddeeplearning.org}}} \\\\ \\vspace{2cm} \n' +
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'\\noindent\\sphinxincludegraphics[height=420\\sphinxpxdimen]{{logo-xl}.jpg} \\\\ \\vspace{1cm} \n' +
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'\\textsf{\\large N. Thuerey, P. Holl, M. Mueller, P. Schnell, F. Trost, K. Um} \n' +
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'\\\\ \\ \\\\ {\\Large(v0.2)} \n' + # manually update version!
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'\\end{center}\n' )
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#print(tt);
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@ -18,6 +18,7 @@
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| $\mathbf{u}$ | vector-valued velocity |
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| $x$ | neural network input or spatial coordinate |
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| $y$ | neural network output |
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| $y^*$ | learning targets: ground truth, reference or observation data |
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## Summary of the most important abbreviations:
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@ -35,10 +36,3 @@
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% test table formatting in markdown
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% | | Sentence # | Word | POS | Tag |
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% |---:|:-------------|:-----------|:------|:------|
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% | 1 | Sentence: 1 | They | PRP | O |
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% | 2 | Sentence: 1 | marched | VBD | O |
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@ -16,9 +16,9 @@
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@inproceedings{schnell2022hig,
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title={Half-Inverse Gradients for Physical Deep Learning},
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author={Schnell, Patrick and Holl, Philipp and Thuerey, Nils},
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booktitle={arXiv:21xx.yyyyy},
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year={2021},
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url={https://ge.in.tum.de/publications/},
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booktitle={ICLR},
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year={2022},
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url={https://github.com/tum-pbs/half-inverse-gradients},
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}
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@inproceedings{chen2021highacc,
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@ -111,11 +111,11 @@
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}
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@inproceedings{holl2021pg,
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title={Physical Gradients for Deep Learning},
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title={Physical Gradients and Scale-Invariant Physics for Deep Learning},
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author={Holl, Philipp and Koltun, Vladlen and Thuerey, Nils},
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booktitle={arXiv:2109.15048},
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year={2021},
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url={https://ge.in.tum.de/publications/},
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url={https://arxiv.org/abs/2109.15048},
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}
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@article{prantl2019tranquil,
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