Add a bunch of links

README.md

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 # APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs
 
-(Project Page) ... Coming Soon
+[Project Page (under construction)](https://tum-pbs.github.io/apebench-paper/)
+
+## Paper
+
+- ARXIV: coming soon
+- [Neurips 2024](https://nips.cc/virtual/2024/poster/97550)
+
+## Software components
+
+- The main [APEBench benchmark suite](https://github.com/tum-pbs/apebench):
+    - The [Fourier ETDRK solver](https://github.com/Ceyron/exponax)
+    - The [Collection of Emulator Architectures](https://github.com/Ceyron/pdequinox)
+    - The [Abstract implementation of training methodologies](https://github.com/Ceyron/trainax)
+- The fast [4d volume renderer](https://github.com/KeKsBoTer/vape4d)
+
+## Experimental Scripts, results and postprocessing
+
+- [Main Part](https://huggingface.co/thuerey-group/apebench-paper)
+- [Ablation Studies](https://huggingface.co/thuerey-group/apebench-paper-ablations)
+
+## Datasets
+
+APEBench is designed to be used a procedural data generator. However, for ease
+of use, there is also a repository of scraped datasets:
+
+- [APEBench version `0.1.0`](https://huggingface.co/datasets/thuerey-group/apebench-scraped)
+- [State of APEBench during Neurips submission](https://huggingface.co/datasets/thuerey-group/apebench-scraped-old)