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Reflected Diffusion Models
Score-based diffusion models learn to reverse a stochastic differential ...
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Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Disobeying the classical wisdom of statistical learning theory, modern d...
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Equivariant Manifold Flows
Tractably modelling distributions over manifolds has long been an import...
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Neural Manifold Ordinary Differential Equations
To better conform to data geometry, recent deep generative modelling tec...
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Differentiating through the Fréchet Mean
Recent advances in deep representation learning on Riemannian manifolds ...
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