Awesome
UNN - Official Repository for Causal Neural Network
Overview
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 <br> Latest Version | Code |
| CUTS+ | Increasing scalability of neural causal discovery on high-dimensional irregular data. | AAAI-24 Supplements | Code |
| 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. | ICLR 2024 | Code |
| 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 | Code |
🏥 REACT: Ultra-efficient causal deep learning for Dynamic CSA-AKI Detection Using Minimal Variables
<center><img src="REACT/github_files/method.png" width="800px"></center>🍺 CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
Official Website ｜ ICLR 2024 | Generation Code🧑💻 ｜ Dataset Download
<center><img src="CausalTime/github_files/arch_github.png" width="800px"></center>