Merge branch 'main' of github.com:jarrycyx/UNN into main

README.md

@@ -6,7 +6,7 @@ This repository provides our latest research on Causal Neural Network.
 | Algorithm | Summary         | Paper | Code |
 |--------|---------------------------------------------------------------------------|----| ----|
 | CUTS  | EM-Style joint causal graph learning and missing data imputation for irregular temporal data |  [ICLR 2023](https://openreview.net/forum?id=UG8bQcD3Emv) <br> [Latest Version](CUTS/CUTS_ver0324_camera5.pdf) |[Code](CUTS/) 
-| CUTS+  | Increasing scalability of neural causal discovery on high-dimensional irregular data. | [arXiv](https://arxiv.org/abs/2305.05890) |[Code](CUTS_Plus/) 
+| CUTS+  | Increasing scalability of neural causal discovery on high-dimensional irregular data. | Accepted to AAAI-24 <br> [arXiv](https://arxiv.org/abs/2305.05890) |[Code](CUTS_Plus/) 
 | CausalTime  Benchmark| A novel pipeline capable of generating realistic time-series along with a ground truth causal graph that is generalizable to different fields. [Official Website.](https://www.causaltime.cc/) | [arXiv](https://arxiv.org/abs/2310.01753) | [Code](CausalTime/)
 | REACT | A causal deep learning approach that combines neural networks with causal discovery to develop a reliable and generalizable model to predict a patient's risk of developing CSA-AKI within the next 48 hours. | [medRxiv](https://www.medrxiv.org/content/10.1101/2023.12.04.23299332v1) | [Code](REACT/)