Researchers from Skoltech and the Artificial Intelligence Research Institute (AIRI) have developed a new algorithm for optimal data transfer between domains using neural networks. Unlike most similar techniques, the new method does not require paired training datasets, such as input-output samples, and can be trained on independent datasets from the input and output domains. The algorithm produces a more interpretable result than other existing approaches and rests on a solid theoretical foundation.
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