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The University of Edinburgh, University of Edinburgh
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Neural networks can classify complex link topologies with 97% accuracy by leveraging the writhe density matrix, even in varying conditions.
Machine learning models classifying geometric knots are cheating by exploiting hidden, non-topological features in simulation data, highlighting a need for more rigorous training datasets.
