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cs.LG2023
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations
Hang Chen, Keqing Du, Chenguang Li +1
The fusion of causal models with deep learning introducing increasingly intricate data sets, such as the causal associations within images or between textual components, has surfac…
cs.LG2023★ 2 cited
SSL Framework for Causal Inconsistency between Structures and Representations
Hang Chen, Xinyu Yang, Keqing Du +1
The cross-pollination between causal discovery and deep learning has led to increasingly extensive interactions. It results in a large number of deep learning data types (such as i…
cs.LG2023
Towards Causal Representation Learning and Deconfounding from Indefinite Data
Hang Chen, Xinyu Yang, Qing Yang
Owing to the cross-pollination between causal discovery and deep learning, non-statistical data (e.g., images, text, etc.) encounters significant conflicts in terms of properties a…