updated bibs

references.bib

@@ -13,6 +13,60 @@
 @STRING{NeurIPS        = "Advances in Neural Information Processing Systems"}
 
 
+@inproceedings{liu2024airfoils,
+	  title={Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models},
+	  author={Liu, Qiang and Thuerey, Nils},
+	  booktitle={Journal of the American Institute of Aeronautics and Astronautics},
+	  year={2024},
+}
+
+@inproceedings{schnell2024sbptt,
+	  title={Stabilizing Backpropagation Through Time to Learn Complex Physics},
+	  author={Schnell, Patrick and Thuerey, Nils},
+	  booktitle={International Conference on Learning Representations},
+	  year={2024},
+}
+
+@inproceedings{winchenbach2024iclr,
+	  title={Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics},
+	  author={Rene Winchenbach and Thuerey, Nils},
+	  booktitle={International Conference on Learning Representations},
+	  year={2024},
+}
+
+@inproceedings{holl2024phiml,
+	  title={Phi-ML: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow and NumPy},
+	  author={Holl, Philipp and Thuerey, Nils},
+	  booktitle={Journal of Open Source Software},
+	  year={2024},
+	  url={https://joss.theoj.org/papers/10.21105/joss.06171},
+}
+
+
+@article{holzschuh2023smdp,
+  title={Solving Inverse Physics Problems with Score Matching},
+  author={Benjamin Holzschuh and Simona Vegetti and Thuerey, Nils},
+  journal={Advances in Neural Information Processing Systems (NeurIPS)},
+  volume={36},
+  year={2023}
+}
+
+@inproceedings{franz2023nglobt,
+	  title={Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision},
+	  author={Erik Franz, Barbara Solenthaler, and Thuerey, Nils},
+	  booktitle={ICLR},
+	  year={2023},
+	  url={https://github.com/tum-pbs/Neural-Global-Transport},
+}
+
+@inproceedings{kohl2023volSim,
+  title={Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs},
+  author={Kohl, Georg and Chen, Li-Wei and Thuerey, Nils},
+  booktitle={AAAI Conference on Artificial Intelligence},
+  year={2022}
+  url={https://github.com/tum-pbs/VOLSIM},
+}
+
 
 @article{prantl2022guaranteed,
   title={Guaranteed conservation of momentum for learning particle-based fluid dynamics},
@@ -30,11 +84,12 @@
 	  url={https://github.com/tum-pbs/half-inverse-gradients},
 }
 
+
 @inproceedings{chen2021highacc,
 	  title={Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils},
 	  author={Chen, Li-Wei and Thuerey, Nils},
-	  booktitle={arXiv},
+	  booktitle={Computers and Fluids},
-	  year={2021},
+	  year={2022},
 	  url={https://ge.in.tum.de/publications/},
 }