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 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
medRxiv | Code🧑💻
🍺 CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
🎄CUTS+: High-dimensional Causal Discovery from Irregular Time-series
AAAI-24 | Code🧑💻
🚩 CUTS: Neural Causal Discovery from Irregular Time-Series Data