From statistical to causal learning
Author:
Affiliation:
1. Max Planck Institute for Intelligent Systems, Tübingen, Germany
2. Max Planck Institute for Intelligent Systems, Tübingen, Germany; and University of Cambridge, Cambridge, United Kingdom
Publisher
EMS Press
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Toward a Theory of Causation for Interpreting Neural Code Models;IEEE Transactions on Software Engineering;2024-05
2. Causal deep learning for explainable vision-based quality inspection under visual interference;Journal of Intelligent Manufacturing;2024-01-22
3. Engineering Principles for Building Trusted Human-AI Systems;Lecture Notes in Networks and Systems;2024
4. Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
5. Normalizing flows for conditional independence testing;Knowledge and Information Systems;2023-08-28
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