Research Prototype

Hyperstructura

An interactive tool for exploring representational geometry within embedding spaces and hidden layers, including nuisance dimensions, subspaces and alternative projections.

What it is for

Hyperstructura makes high-dimensional representations inspectable. A 3-D projection is not the latent space itself; it is an instrument for finding structure worth investigating.

Research focus

Nuisance dimensions provide a concrete example of representational structure that can be visually identified and then tested. Constrained principal component analysis can preserve selected geometric relationships while allowing the remaining projection axes to capture useful variance.

Representation then connects directly to decision architecture: linear, symbolic and deeper neural head-ends expose different trade-offs in explainability, uncertainty, performance and reversibility.

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