Study tests black-box watermarks for hyperdimensional classifiers
AdaptHD and OnlineHD kept verification at 1% trigger exposure with at most 0.58 points of mean accuracy loss.
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Learning Holographic Reduced Representations with Clifford Variational Autoencoders
Clifford-VAE learns torus embeddings that beat Gaussian VAEs on vector-symbolic binding and capacity tests.