Search Results for author: Jeremy Wayland

Found 2 papers, 1 papers with code

Mapping the Multiverse of Latent Representations

no code implementations2 Feb 2024 Jeremy Wayland, Corinna Coupette, Bastian Rieck

Echoing recent calls to counter reliability and robustness concerns in machine learning via multiverse analysis, we present PRESTO, a principled framework for mapping the multiverse of machine-learning models that rely on latent representations.

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Curvature Filtrations for Graph Generative Model Evaluation

1 code implementation NeurIPS 2023 Joshua Southern, Jeremy Wayland, Michael Bronstein, Bastian Rieck

Graph generative model evaluation necessitates understanding differences between graphs on the distributional level.

Topological Data Analysis

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