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Optimal Transport for Fairness: Archival Data Repair using Small Research Data Sets
With the advent of the AI Act and other regulations, there is now an urgent need for algorithms that repair unfairness in training data.
Causal Temporal Graph Convolutional Neural Networks (CTGCN)
Our CTGCN architecture is based on a causal discovery mechanism, and is capable of discovering the underlying causal processes.
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