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Home/Authors/Chris Eliasmith

Chris Eliasmith

1 indexed paper

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26

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AI×1

Frequent co-authors

Karim Habashy1×

Research Timeline

2026
Geodesic Flow Matching for Denoising High-Dimensional Structured Representations

The paper introduces Geodesic Flow Matching, a manifold-aware denoising technique that adapts Riemannian transport dynamics to accurately clean high-dimensional structured representations like Spatial Semantic Pointers (SSPs) on toroidal manifolds.

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Papers

cs.AIRecentMay 29, 2026

Geodesic Flow Matching for Denoising High-Dimensional Structured Representations

Karim Habashy, Chris Eliasmith

The paper introduces Geodesic Flow Matching, a manifold-aware denoising technique that adapts Riemannian transport dynamics to accurately clean high-dimensional structured representations like Spatial…

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